This document summarizes a study that used finite element analysis to analyze the micromechanical behavior of fiber-reinforced polymer composites with different fiber materials (Hexply Im7-8552, Kelvar, and Carbon T300) embedded in an epoxy resin matrix. A unit cell model was developed and analyzed under tensile loading to evaluate engineering properties like modulus and Poisson's ratio for various fiber volume fractions. Interfacial stresses at the fiber-matrix interface were also estimated. Results from the finite element analysis were validated against theoretical models. The study aims to predict the mechanical behavior and properties of unidirectional fiber composites subjected to longitudinal tensile loading.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Micromechanical Modeling of the Macroscopic Behavior of Soft Ferromagnetic Co...IJMERJOURNAL
ABSTRACT: Soft ferromagnetic composites consist of ferromagnetic particles embedded within nonmagnetic electrically insulating matrix. The aims of this article are twofold. In the first one, multiaxial nonlinear isothermal constitutive equations that govern the behavior of soft ferromagnetic materials are generalized to include the temperature and hysteretic effects. The second aim consists of developing a micromechanical analysis which takes into account the detailed interaction between the phases, and establishes the instantaneous concentration tensors which relate between the local magneto-thermo-elastic field and the externally applied loading. The ferromagnetic particles constituents employed in the micromechanical analysis are governed by the developed magneto-thermo-elastic coupled hysteretic constitutive relations. With the established concentration tensors, the macroscopic (global) re- sponse of the composite can be readily determined at any instant of loading. The offered micromechanical modeling is capable of predicting the response of soft ferromagnetic composites that are subjected to various types of magneto-thermo-elastic loadings, and it can be employed by the designerto easily determine the composite response for a particular desired application.
Micro Mechanical Modeling of Fiber / Epoxy Unidirectional Laminates Using Featheijes
The focus of the study was to develop the micromechanical model associated with proper damage model to predict the overall mechanical behavior of fiber/matrix unidirectional laminates. The present and first investigation studies the influence of fiber-matrix interface on the behaviour of fiber reinforced composite lamina using micromechanical models. Mechanical properties E1 and E2 are determined at various volume fractions. The second investigation studies the micro-thermo elastic behaviour of the square unit cell of a hybrid fiber reinforced composite lamina. Later this model is extended to predict the coefficients of thermal expansion of graphite-boron hybrid fiber reinforced lamina for various volume fractions.In the third investigation, an analytical solution of the thermal stresses for a fiber embedded in a matrix is presented based on the idea of the finite element and under some simplifying assumptions. The analytical solution to the problem is found for the case when the length of the embedded bar (fiber) is much greater than its radius, and the Young's modulus of the matrix is much less than that of the fiber. The problem is also solved numerically by means of finite element analysis using ANSYS 10.0. Both results are compared and it is shown that both approaches coincide very close qualitatively and quantitatively although significant discrepancies may appear at specific points for specific cases. For all above three cases 3-D finite element models have been developed from the representative volume elements of the composite which are in the form of square unit cells. The finite element software ANSYS 10.0 has been successfully executed to evaluate the properties
Prediction of Deflection and Stresses of Laminated Composite Plate with Arti...IJMER
A true understanding of their structural behaviour is required, such as the deflections, buckling loads
and modal characteristics, the through thickness distributions of stresses and strains, the large deflection
behaviour and, of extreme importance for obtaining strong, reliable multi-layered structures, the failure
characteristics. In the past, the structural behaviour of plates and shells using the finite element method has been
studied by a variety of approaches. Choudhary and Tungikaranalyzed the geometrically nonlinear behavior of
laminated composite plates using the finite element analysis.
A review on study of composite materials in presence of crackseSAT Journals
This document reviews composite materials in the presence of cracks. It discusses four main fatigue failure mechanisms: debonding at the fiber-matrix interface, matrix cracking, delamination between plies, and fiber breakage. The review covers analytical models used to predict fatigue life and analyze stiffness degradation due to these failure mechanisms. While models have varying accuracy, micromechanics-based approaches have yielded good results. The review concludes that systematically modeling and analyzing defects is needed to better estimate composite stiffness degradation by considering the effects of failure mechanisms like matrix cracks, debonding, delamination, and fiber breaks.
Identification of Material Parameters of Pultruded FRP Composite Plates using...Subhajit Mondal
This document summarizes research that used finite element model updating to identify material parameters of pultruded fiber reinforced plastic (FRP) composite plates. Researchers conducted experimental modal testing on an FRP plate to measure its vibration responses. They then used an inverse eigensensitivity method to update a finite element model of the plate, adjusting the model's in-plane elastic parameters until its responses matched experimental data. This allowed them to estimate the plate's actual elastic properties nondestructively. The technique was validated using independent quasi-static tests, demonstrating its potential for structural health monitoring of pultruded FRP infrastructure.
This thesis aims to develop multiphase voxel finite elements (MVEs) that can accurately predict the stiffness tensor of woven fiber composite laminates. The MVEs allow the construction of a mesh independent of the complex internal geometry by applying material properties at integration points.
Two novel MVEs are proposed - the Tensile Modulus Corrected MVE (TMC-MVE) and the Stiffness Tensor Corrected MVE (STC-MVE). These are compared to an Average Stiffness Element and a Basic MVE through tests on simple geometries. The MVEs are then used to analyze plain, satin and twill weave composites, with results compared to finite element
Unguided crack growth simulation in asymmetric specimens using bond-based per...IRJET Journal
This document summarizes a study that uses peridynamics, a nonlocal continuum theory, to simulate unguided crack growth in asymmetric specimens. The study develops peridynamic simulations of pre-cracked plates containing asymmetric circular notches subjected to tension. Various models are analyzed with different notch positions and numbers. The results show that peridynamics can successfully predict complex crack patterns, including curved crack growth paths and cracks initiating from the notches. The study demonstrates that peridynamics is a promising technique for fracture analysis of structures with asymmetries.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Micromechanical Modeling of the Macroscopic Behavior of Soft Ferromagnetic Co...IJMERJOURNAL
ABSTRACT: Soft ferromagnetic composites consist of ferromagnetic particles embedded within nonmagnetic electrically insulating matrix. The aims of this article are twofold. In the first one, multiaxial nonlinear isothermal constitutive equations that govern the behavior of soft ferromagnetic materials are generalized to include the temperature and hysteretic effects. The second aim consists of developing a micromechanical analysis which takes into account the detailed interaction between the phases, and establishes the instantaneous concentration tensors which relate between the local magneto-thermo-elastic field and the externally applied loading. The ferromagnetic particles constituents employed in the micromechanical analysis are governed by the developed magneto-thermo-elastic coupled hysteretic constitutive relations. With the established concentration tensors, the macroscopic (global) re- sponse of the composite can be readily determined at any instant of loading. The offered micromechanical modeling is capable of predicting the response of soft ferromagnetic composites that are subjected to various types of magneto-thermo-elastic loadings, and it can be employed by the designerto easily determine the composite response for a particular desired application.
Micro Mechanical Modeling of Fiber / Epoxy Unidirectional Laminates Using Featheijes
The focus of the study was to develop the micromechanical model associated with proper damage model to predict the overall mechanical behavior of fiber/matrix unidirectional laminates. The present and first investigation studies the influence of fiber-matrix interface on the behaviour of fiber reinforced composite lamina using micromechanical models. Mechanical properties E1 and E2 are determined at various volume fractions. The second investigation studies the micro-thermo elastic behaviour of the square unit cell of a hybrid fiber reinforced composite lamina. Later this model is extended to predict the coefficients of thermal expansion of graphite-boron hybrid fiber reinforced lamina for various volume fractions.In the third investigation, an analytical solution of the thermal stresses for a fiber embedded in a matrix is presented based on the idea of the finite element and under some simplifying assumptions. The analytical solution to the problem is found for the case when the length of the embedded bar (fiber) is much greater than its radius, and the Young's modulus of the matrix is much less than that of the fiber. The problem is also solved numerically by means of finite element analysis using ANSYS 10.0. Both results are compared and it is shown that both approaches coincide very close qualitatively and quantitatively although significant discrepancies may appear at specific points for specific cases. For all above three cases 3-D finite element models have been developed from the representative volume elements of the composite which are in the form of square unit cells. The finite element software ANSYS 10.0 has been successfully executed to evaluate the properties
Prediction of Deflection and Stresses of Laminated Composite Plate with Arti...IJMER
A true understanding of their structural behaviour is required, such as the deflections, buckling loads
and modal characteristics, the through thickness distributions of stresses and strains, the large deflection
behaviour and, of extreme importance for obtaining strong, reliable multi-layered structures, the failure
characteristics. In the past, the structural behaviour of plates and shells using the finite element method has been
studied by a variety of approaches. Choudhary and Tungikaranalyzed the geometrically nonlinear behavior of
laminated composite plates using the finite element analysis.
A review on study of composite materials in presence of crackseSAT Journals
This document reviews composite materials in the presence of cracks. It discusses four main fatigue failure mechanisms: debonding at the fiber-matrix interface, matrix cracking, delamination between plies, and fiber breakage. The review covers analytical models used to predict fatigue life and analyze stiffness degradation due to these failure mechanisms. While models have varying accuracy, micromechanics-based approaches have yielded good results. The review concludes that systematically modeling and analyzing defects is needed to better estimate composite stiffness degradation by considering the effects of failure mechanisms like matrix cracks, debonding, delamination, and fiber breaks.
Identification of Material Parameters of Pultruded FRP Composite Plates using...Subhajit Mondal
This document summarizes research that used finite element model updating to identify material parameters of pultruded fiber reinforced plastic (FRP) composite plates. Researchers conducted experimental modal testing on an FRP plate to measure its vibration responses. They then used an inverse eigensensitivity method to update a finite element model of the plate, adjusting the model's in-plane elastic parameters until its responses matched experimental data. This allowed them to estimate the plate's actual elastic properties nondestructively. The technique was validated using independent quasi-static tests, demonstrating its potential for structural health monitoring of pultruded FRP infrastructure.
This thesis aims to develop multiphase voxel finite elements (MVEs) that can accurately predict the stiffness tensor of woven fiber composite laminates. The MVEs allow the construction of a mesh independent of the complex internal geometry by applying material properties at integration points.
Two novel MVEs are proposed - the Tensile Modulus Corrected MVE (TMC-MVE) and the Stiffness Tensor Corrected MVE (STC-MVE). These are compared to an Average Stiffness Element and a Basic MVE through tests on simple geometries. The MVEs are then used to analyze plain, satin and twill weave composites, with results compared to finite element
Unguided crack growth simulation in asymmetric specimens using bond-based per...IRJET Journal
This document summarizes a study that uses peridynamics, a nonlocal continuum theory, to simulate unguided crack growth in asymmetric specimens. The study develops peridynamic simulations of pre-cracked plates containing asymmetric circular notches subjected to tension. Various models are analyzed with different notch positions and numbers. The results show that peridynamics can successfully predict complex crack patterns, including curved crack growth paths and cracks initiating from the notches. The study demonstrates that peridynamics is a promising technique for fracture analysis of structures with asymmetries.
This paper presents a model for calculation of torsion capacity of the reinforced concrete beams using the artificial neural network. Considering the complex reaction of reinforced concrete beams under torsion moments, torsion strength of these beams is depended on different parameters; therefore using the artificial neural network is a proper method for estimating the torsion capacity of the beams. In the presented model the beam's dimensions, concrete compressive strength and longitudinal and traverse bars properties are the input data, and torsion capacity of the reinforced concrete beam is the output of the model. Also considering the neural network results, a sensitivity analysis is performed on the network layers weight, and the effect of different parameters is evaluated on the torsion strength of the reinforced concrete beams. According to the sensitivity analysis, properties of traverse steel have the most effect on torsion capacity of the beams.
Assessment of wear rate is an inseparable section of the saw ability of dimension stone, and an essential task to optimization in the diamond wire saw performance. This research aims to provide an accurate, practical and applicable model for predicting the wear rate of diamond bead based on rock properties using applications and performances of intelligent systems. In order to reach this purpose, 38 cutting test results with 38 different rocks were used from andesites, limestones and real marbles quarries located in eleven areas in Turkey. Prediction of wear rate is determined by optimization techniques like Multilayer Perceptron (MLP) and hybrid Genetic algorithm –Artificial neural network (GA-ANN) models that were utilized to build two estimation models by MATLAB software. In this study, 80% of the total samples were used randomly for the training dataset, and the remaining 20% was considered as testing data for GA-ANN model. Further, accuracy and performance capacity of models established were investigated using root mean square error (RMSE), the coefficient of determination (R2) and standard deviation (STD). Finally, a comparison was made among performances of these soft computing techniques for predicting and the results obtained indicated hybrid GA-ANN model with a coefficient of determination (R2) of training = 0.95 and testing = 0.991 can get more accurate predicting results in comparison with MLP models.
Investigation and modelling of edm process parameters in machining of incoloy...eSAT Journals
Abstract The experimentation has been performed on EDM for the modelling and optimization of the process parameters. In this work modelling of the processes are done by artificial neural networking and optimization by genetic algorithm. For fitness function regression analysis has been performed. Design of experiment with mixed level L18 orthogonal array has been considered. All 18 experiments were performed on INCOLOY-800. Copper as an electrode considered. In this work TWR considered as the response variable. Dielectric fluid with two level; where current, pulse on time and gap voltage considered with three levels as the process parameters. 4-17-1-1 network considered in ANN by feed forward back propagation for process modelling. Two types of dielectric fluid considered as kerosene and EDM oil. For multi objective-optimization Genetic Algorithm used (GA). Keywords –Artificial neural network, genetic algorithm, machining time, material removal rate
- The document discusses buckling analysis of a fiber-filled plastic push rod component used in clutch release cylinders.
- It performs nonlinear buckling analysis using both isotropic and anisotropic material models, coupled with injection molding simulations to model fiber orientation.
- The results show that accounting for anisotropy induced by the molding process, as predicted by the Moldflow simulation, improves the accuracy of the buckling load prediction compared to experimental data over using a traditional isotropic material model.
A nonlinear model for the vibration suppression of a smart composite elastic plate using graphical representation involving fuzzy control is presented. The plate follows the von Kármán and Kirchhoff plate bending theories and the oscillations are caused by external transversal loading forces, which are applied directly on it. Two different control forces, one continuous and one located at discrete points, are considered. The mechanical model is spatially discretized by using the time spectral Galerkin and collocation methods. The aim is to suppress vibrations through a simulation process within a modern graphical computing environment. Here we use MATLAB/SIMULINK, while other similar packages can be used as well. The nonlinear controller is designed, based on an application of a Mamdani-type fuzzy inference system. A computational algorithm, proposed and tested here is not only effective but robust as well. Furthermore, all elements of the study can be replaced or extended, due to the flexibility of the used SIMULINK environment.
Effect of the welding process parameter in mmaw for joining of dissimilar metalsIAEME Publication
This document discusses optimizing welding parameters for joining dissimilar metals using manual metal arc welding and an artificial neural fuzzy interface system. Experimental results were analyzed using regression analysis to develop mathematical models relating welding current, voltage, speed, and electrode angle to weld strength and metal deposition rate. An artificial neural network was trained on the experimental data and used to predict the optimal parameters to achieve the highest weld strength. Validation experiments showed the artificial neural fuzzy interface system successfully optimized the welding parameters.
Algorithm for Modeling Unconventional Machine Tool Machining Parameters using...IDES Editor
Unconventional machining process finds a lot of
application in aerospace and precision industries. It is
preferred over other conventional methods because of the
advent of composite and high strength to weight ratio
materials, complex parts and also because of its high accuracy
and precision. Usually in unconventional machine tools, trial
and error method is used to fix the values of process
parameters. In the proposed work an algorithm which is
developed using Artificial Neural Network (ANN) is proposed
to create mathematical model functionally relating process
parameters and operating parameters of any unconventional
machine tool. This is accomplished by training a feed forward
network with back propagation learning algorithm. The
required data which are used for training and testing the ANN
in the case study is obtained by conducting trial runs in EBW
machine. By adopting the proposed algorithm there will be a
reduction in production time and set-up time along with
reduction in manufacturing cost in unconventional machining
processes. This in general increases the overall productivity.
The programs for training and testing the neural network are
developed, using MATLAB package
Number of Iteration Analysis for Complex FSS Shape Using GA for Efficient ESGjournalBEEI
ESG stand for Energy-Saving Glass is a special shielded glass with a metallic oxide layer to abuse undesirable of infrared and ultraviolet radiation into construction assemblies like our home. Firstly, different number of the iteration is the main thing to study a performance of the frequency selective surface shape using genetic algorithm (GA) for efficient energy saving glass (ESG). Three different values for the number of iterations were taken that is 1500, 2000 1nd 5000. Before that, the response of this complex FSS shape on incident electromagnetic wave with different symmetry shape are investigating. Three of them are no symmetrical shape, ¼ symmetrical shape, and 1/8 symmetrical shape. The 1500 number simulation considered about 89.000 per second, compared with 2000 iteration and 5000 iterations had consumed 105.09 per second and 196.00 per second, respectively. For 1/8 symmetry complex FSS shape, it demonstrations the improved performance of transmission loss at 1.2 GHz with - 40 dB. A 2 dB of transmission loss is achieved at WLAN application of 2.45 GHz with 0°, 30°, and 45° incidence angle shows
This document discusses various techniques for characterizing metamaterials. It categorizes the techniques into analytical methods, field averaging methods, and experimental methods. Analytical methods include modeling the unit cell and periodic structure to determine effective parameters. Field averaging methods involve obtaining local field averages to derive constitutive parameters from transmission and reflection data. Experimental techniques discussed are the Nicolson-Ross-Weir method for extracting parameters from scattering data and resonator/free space methods for laboratory measurements.
Displacement analysis of cantilever beam using fem packageIAEME Publication
This document analyzes the displacement of a cantilever beam made of different materials (aluminum, copper, steel) using finite element modeling (FEM). The study found that displacement under load increases with increasing Poisson's ratio from 0.3 to 0.33 but decreases from 0.33 to 0.36. Stress also increases with increasing Poisson's ratio. Frequency at the first vibration mode decreases from steel to copper as Poisson's ratio increases from 0.3 to 0.36. The FEM package was able to accurately simulate and analyze beam behavior under longitudinal load.
performance study of electrochemical machining on metal matrix compositeNEERAJKUMAR1898
The document discusses performance studies of electrochemical machining (ECM) on metal matrix composites. It describes fabricating five different aluminum matrix composites using stir casting, including an Al 6061 alloy reinforced with 6% graphite and an Al 6061 alloy reinforced with 5% silicon carbide and 5% graphite. Experiments were conducted using Taguchi's design of experiments to determine the optimal ECM process parameters of voltage, electrolyte concentration, and frequency for maximizing material removal rate and minimizing overcut of the composites.
IRJET - Topology Optimization of Continuum Beam Structure using Optimality Cr...IRJET Journal
The document discusses topology optimization of a continuum beam structure using the optimality creation (OC) method in ANSYS. It begins with an introduction to topology optimization and optimization techniques. It then describes applying the OC method to optimize the material distribution in a beam model in ANSYS to minimize compliance. The optimized geometry is validated through finite element analysis to ensure stresses remain within allowable limits. The results demonstrate how topology optimization using the OC method can effectively design efficient, lightweight structures.
The purpose of this paper is to perform a structural optimization of a flat thermoplastic plate (tile). This task is developed computationally through the interface between an optimization algorithm and the finite element method with the goal of minimizing the equivalent stress with specified target stress of 2 MPa when applied with a load intensity of 1000N. A 300 x 300 x 20 mm thermoplastic plate was selected for the optimization, which was performed with a tool in MATLAB R2012b known as genetic algorithm accompanied with static analysis in ANSYS 15. The results produced the optimum equivalent stress (δopt) of 2.136 MPa with the optimum dimensions of 305 x 302 x 20 mm. Also, the dimensions of the plate with the optimum value of the equivalent stress were discovered to be within the lower and upper bound dimensions of the plate. The thermoplastic plate object of the optimization was a square plate of 300 x 300mm, and 20 mm thick with isotropic properties and a particular load and boundary conditions were applied on the entire plate.
Electronic structure and magnetic properties of timn3 n, timn3 and mnti3 comp...eSAT Journals
Abstract
Tight Binding Linear Muffin Tin Orbital Method has been employed to obtain the electronic and Magnetic properties of TiMn3N and ordered TiMn3 Compounds. The Equilibrium volume has been found for each compound using self-consistent band structure calculations at several lattice parameters. Obtained results reveals that TiMn3 is ferromagnetic with 3.3624μB as magnetic moment at Mn sites and-1.2174μB at Ti sites. Hence TiMn3 attains the stable magnetic order at Ferromagnetic and Non-Magnetic calculations, while TiMn3N shows the nonmagnetic phase as a stable one during FM and NM calculations.
Keywords: Ferromagnetic, Non-Magnetic, Tight Binding Linear Muffin Tin Orbital method
Optimization of Force and Surface Roughness for Carbonized Steel in Turning P...IJERA Editor
This paper discusses the optimization of cutting parameters in turning processes using neural networks. The paper aims to determine optimal cutting speed, depth of cut, and feed rate to achieve maximum cutting force and minimum surface roughness. A neural network model is developed and trained using input cutting parameters and output responses of cutting force and surface roughness. The results found that neural networks can quickly converge on an optimal combination of cutting parameters. It was concluded that machining efficiency and process can be improved through optimization of cutting parameters using neural networks.
A Density Control Based Adaptive Hexahedral Mesh Generation Algorithmijeei-iaes
This document summarizes an adaptive hexahedral mesh generation algorithm that uses density control. The algorithm involves 5 main steps: 1) Identifying the boundaries of the solid model, 2) Constructing refinement fields based on density metrics and generating an initial grid structure, 3) Generating a jagged core mesh by removing exterior elements, 4) Matching the core mesh surfaces to the solid model surfaces, 5) Improving mesh quality using optimization techniques. The algorithm aims to generate high quality hexahedral meshes with reasonably distributed density. It uses curvature and thickness criteria to refine the initial grid structure adaptively before generating the core mesh and performing surface matching and quality optimization.
This document describes a photoelastic stress analysis of the bending strength of a helical gear. The analysis involved creating a 3D photoelastic model of the gear, subjecting it to loading, and freezing the stresses. Slices were cut from the model and observed under polarized light to determine stress distributions. Maximum bending stresses were calculated for different slices and scaled up to prototype values. Finite element analysis was also performed and showed good agreement with experimental results, with less than 2% variation in maximum stress values. The analysis found that helical gears experience higher peak bending stresses than spur gears due to their point contact loading.
IRJET- Vibration Analysis of Simply Supported Beam with Varying Crack Dep...IRJET Journal
This document discusses using finite element analysis in ANSYS to analyze vibration in a simply supported beam with cracks of varying depth and location. It first provides background on using changes in natural frequency and mode shapes to detect damage in structures. It then reviews previous research on modeling cracks and their effects in beams. The document describes developing finite element models of cracked and uncracked beams in ANSYS to calculate natural frequencies and compare to theoretical results. The goal is to present results of using vibration analysis for crack detection.
REVIEW STATIC AND DYNAMIC ANALYSIS OF A LAMINATED COMPOSITE BEAMIRJET Journal
This document summarizes research on analyzing the static and dynamic behavior of laminated composite beams. It reviews literature on analyzing composite beams through finite element analysis to study the effects of fiber orientation, stacking sequence, and other parameters on the beam's deflections, stresses, and natural frequencies. The document outlines research conducting both numerical simulations and experimental tests on composite beams to model their vibration characteristics. It surveys various studies that use finite element modeling to investigate behaviors like buckling, cracking, and delamination in composite beams made of materials like glass fiber reinforced polymers.
A study on flexural strength of hybrid polymer composite materials e glass fibIAEME Publication
This document discusses a study on the flexural strength of hybrid polymer composite materials made of E-glass fibers, carbon fibers, and graphite particles in an epoxy resin matrix. The study varies the thickness of the laminates from 2mm to 4mm and uses two different grades of epoxy resin, 5052 and 556, as the matrix material. Flexural tests were conducted to evaluate how the flexural strength is affected by varying the laminate thickness and using different matrix materials. The goal of the study was to generate material property data for these hybrid composite laminates fabricated using the hand layup and room temperature vacuum bag molding process.
MOLDING PROCESS INDUCED ANISOTROPY EFFECT ON BUCKLING ANALYSIS OF FIBER- FILL...IAEME Publication
Fiber-filled plastic materials are commonly used in metal replacement applications. The combination of low weight and high stiffness makes fiber-filled plastics ideal for high-performance applications. The key to unlocking the potential of these plastics lies in the orientation of the fibers. The orientation direction and the degree of orientation of the fibers determine the mechanical properties of the molded part. The injection moluding process for fiber-filled parts can cause great
variation in strength throughout a part, the effects of the injection process should be considered in the design of such a part.
This paper presents a model for calculation of torsion capacity of the reinforced concrete beams using the artificial neural network. Considering the complex reaction of reinforced concrete beams under torsion moments, torsion strength of these beams is depended on different parameters; therefore using the artificial neural network is a proper method for estimating the torsion capacity of the beams. In the presented model the beam's dimensions, concrete compressive strength and longitudinal and traverse bars properties are the input data, and torsion capacity of the reinforced concrete beam is the output of the model. Also considering the neural network results, a sensitivity analysis is performed on the network layers weight, and the effect of different parameters is evaluated on the torsion strength of the reinforced concrete beams. According to the sensitivity analysis, properties of traverse steel have the most effect on torsion capacity of the beams.
Assessment of wear rate is an inseparable section of the saw ability of dimension stone, and an essential task to optimization in the diamond wire saw performance. This research aims to provide an accurate, practical and applicable model for predicting the wear rate of diamond bead based on rock properties using applications and performances of intelligent systems. In order to reach this purpose, 38 cutting test results with 38 different rocks were used from andesites, limestones and real marbles quarries located in eleven areas in Turkey. Prediction of wear rate is determined by optimization techniques like Multilayer Perceptron (MLP) and hybrid Genetic algorithm –Artificial neural network (GA-ANN) models that were utilized to build two estimation models by MATLAB software. In this study, 80% of the total samples were used randomly for the training dataset, and the remaining 20% was considered as testing data for GA-ANN model. Further, accuracy and performance capacity of models established were investigated using root mean square error (RMSE), the coefficient of determination (R2) and standard deviation (STD). Finally, a comparison was made among performances of these soft computing techniques for predicting and the results obtained indicated hybrid GA-ANN model with a coefficient of determination (R2) of training = 0.95 and testing = 0.991 can get more accurate predicting results in comparison with MLP models.
Investigation and modelling of edm process parameters in machining of incoloy...eSAT Journals
Abstract The experimentation has been performed on EDM for the modelling and optimization of the process parameters. In this work modelling of the processes are done by artificial neural networking and optimization by genetic algorithm. For fitness function regression analysis has been performed. Design of experiment with mixed level L18 orthogonal array has been considered. All 18 experiments were performed on INCOLOY-800. Copper as an electrode considered. In this work TWR considered as the response variable. Dielectric fluid with two level; where current, pulse on time and gap voltage considered with three levels as the process parameters. 4-17-1-1 network considered in ANN by feed forward back propagation for process modelling. Two types of dielectric fluid considered as kerosene and EDM oil. For multi objective-optimization Genetic Algorithm used (GA). Keywords –Artificial neural network, genetic algorithm, machining time, material removal rate
- The document discusses buckling analysis of a fiber-filled plastic push rod component used in clutch release cylinders.
- It performs nonlinear buckling analysis using both isotropic and anisotropic material models, coupled with injection molding simulations to model fiber orientation.
- The results show that accounting for anisotropy induced by the molding process, as predicted by the Moldflow simulation, improves the accuracy of the buckling load prediction compared to experimental data over using a traditional isotropic material model.
A nonlinear model for the vibration suppression of a smart composite elastic plate using graphical representation involving fuzzy control is presented. The plate follows the von Kármán and Kirchhoff plate bending theories and the oscillations are caused by external transversal loading forces, which are applied directly on it. Two different control forces, one continuous and one located at discrete points, are considered. The mechanical model is spatially discretized by using the time spectral Galerkin and collocation methods. The aim is to suppress vibrations through a simulation process within a modern graphical computing environment. Here we use MATLAB/SIMULINK, while other similar packages can be used as well. The nonlinear controller is designed, based on an application of a Mamdani-type fuzzy inference system. A computational algorithm, proposed and tested here is not only effective but robust as well. Furthermore, all elements of the study can be replaced or extended, due to the flexibility of the used SIMULINK environment.
Effect of the welding process parameter in mmaw for joining of dissimilar metalsIAEME Publication
This document discusses optimizing welding parameters for joining dissimilar metals using manual metal arc welding and an artificial neural fuzzy interface system. Experimental results were analyzed using regression analysis to develop mathematical models relating welding current, voltage, speed, and electrode angle to weld strength and metal deposition rate. An artificial neural network was trained on the experimental data and used to predict the optimal parameters to achieve the highest weld strength. Validation experiments showed the artificial neural fuzzy interface system successfully optimized the welding parameters.
Algorithm for Modeling Unconventional Machine Tool Machining Parameters using...IDES Editor
Unconventional machining process finds a lot of
application in aerospace and precision industries. It is
preferred over other conventional methods because of the
advent of composite and high strength to weight ratio
materials, complex parts and also because of its high accuracy
and precision. Usually in unconventional machine tools, trial
and error method is used to fix the values of process
parameters. In the proposed work an algorithm which is
developed using Artificial Neural Network (ANN) is proposed
to create mathematical model functionally relating process
parameters and operating parameters of any unconventional
machine tool. This is accomplished by training a feed forward
network with back propagation learning algorithm. The
required data which are used for training and testing the ANN
in the case study is obtained by conducting trial runs in EBW
machine. By adopting the proposed algorithm there will be a
reduction in production time and set-up time along with
reduction in manufacturing cost in unconventional machining
processes. This in general increases the overall productivity.
The programs for training and testing the neural network are
developed, using MATLAB package
Number of Iteration Analysis for Complex FSS Shape Using GA for Efficient ESGjournalBEEI
ESG stand for Energy-Saving Glass is a special shielded glass with a metallic oxide layer to abuse undesirable of infrared and ultraviolet radiation into construction assemblies like our home. Firstly, different number of the iteration is the main thing to study a performance of the frequency selective surface shape using genetic algorithm (GA) for efficient energy saving glass (ESG). Three different values for the number of iterations were taken that is 1500, 2000 1nd 5000. Before that, the response of this complex FSS shape on incident electromagnetic wave with different symmetry shape are investigating. Three of them are no symmetrical shape, ¼ symmetrical shape, and 1/8 symmetrical shape. The 1500 number simulation considered about 89.000 per second, compared with 2000 iteration and 5000 iterations had consumed 105.09 per second and 196.00 per second, respectively. For 1/8 symmetry complex FSS shape, it demonstrations the improved performance of transmission loss at 1.2 GHz with - 40 dB. A 2 dB of transmission loss is achieved at WLAN application of 2.45 GHz with 0°, 30°, and 45° incidence angle shows
This document discusses various techniques for characterizing metamaterials. It categorizes the techniques into analytical methods, field averaging methods, and experimental methods. Analytical methods include modeling the unit cell and periodic structure to determine effective parameters. Field averaging methods involve obtaining local field averages to derive constitutive parameters from transmission and reflection data. Experimental techniques discussed are the Nicolson-Ross-Weir method for extracting parameters from scattering data and resonator/free space methods for laboratory measurements.
Displacement analysis of cantilever beam using fem packageIAEME Publication
This document analyzes the displacement of a cantilever beam made of different materials (aluminum, copper, steel) using finite element modeling (FEM). The study found that displacement under load increases with increasing Poisson's ratio from 0.3 to 0.33 but decreases from 0.33 to 0.36. Stress also increases with increasing Poisson's ratio. Frequency at the first vibration mode decreases from steel to copper as Poisson's ratio increases from 0.3 to 0.36. The FEM package was able to accurately simulate and analyze beam behavior under longitudinal load.
performance study of electrochemical machining on metal matrix compositeNEERAJKUMAR1898
The document discusses performance studies of electrochemical machining (ECM) on metal matrix composites. It describes fabricating five different aluminum matrix composites using stir casting, including an Al 6061 alloy reinforced with 6% graphite and an Al 6061 alloy reinforced with 5% silicon carbide and 5% graphite. Experiments were conducted using Taguchi's design of experiments to determine the optimal ECM process parameters of voltage, electrolyte concentration, and frequency for maximizing material removal rate and minimizing overcut of the composites.
IRJET - Topology Optimization of Continuum Beam Structure using Optimality Cr...IRJET Journal
The document discusses topology optimization of a continuum beam structure using the optimality creation (OC) method in ANSYS. It begins with an introduction to topology optimization and optimization techniques. It then describes applying the OC method to optimize the material distribution in a beam model in ANSYS to minimize compliance. The optimized geometry is validated through finite element analysis to ensure stresses remain within allowable limits. The results demonstrate how topology optimization using the OC method can effectively design efficient, lightweight structures.
The purpose of this paper is to perform a structural optimization of a flat thermoplastic plate (tile). This task is developed computationally through the interface between an optimization algorithm and the finite element method with the goal of minimizing the equivalent stress with specified target stress of 2 MPa when applied with a load intensity of 1000N. A 300 x 300 x 20 mm thermoplastic plate was selected for the optimization, which was performed with a tool in MATLAB R2012b known as genetic algorithm accompanied with static analysis in ANSYS 15. The results produced the optimum equivalent stress (δopt) of 2.136 MPa with the optimum dimensions of 305 x 302 x 20 mm. Also, the dimensions of the plate with the optimum value of the equivalent stress were discovered to be within the lower and upper bound dimensions of the plate. The thermoplastic plate object of the optimization was a square plate of 300 x 300mm, and 20 mm thick with isotropic properties and a particular load and boundary conditions were applied on the entire plate.
Electronic structure and magnetic properties of timn3 n, timn3 and mnti3 comp...eSAT Journals
Abstract
Tight Binding Linear Muffin Tin Orbital Method has been employed to obtain the electronic and Magnetic properties of TiMn3N and ordered TiMn3 Compounds. The Equilibrium volume has been found for each compound using self-consistent band structure calculations at several lattice parameters. Obtained results reveals that TiMn3 is ferromagnetic with 3.3624μB as magnetic moment at Mn sites and-1.2174μB at Ti sites. Hence TiMn3 attains the stable magnetic order at Ferromagnetic and Non-Magnetic calculations, while TiMn3N shows the nonmagnetic phase as a stable one during FM and NM calculations.
Keywords: Ferromagnetic, Non-Magnetic, Tight Binding Linear Muffin Tin Orbital method
Optimization of Force and Surface Roughness for Carbonized Steel in Turning P...IJERA Editor
This paper discusses the optimization of cutting parameters in turning processes using neural networks. The paper aims to determine optimal cutting speed, depth of cut, and feed rate to achieve maximum cutting force and minimum surface roughness. A neural network model is developed and trained using input cutting parameters and output responses of cutting force and surface roughness. The results found that neural networks can quickly converge on an optimal combination of cutting parameters. It was concluded that machining efficiency and process can be improved through optimization of cutting parameters using neural networks.
A Density Control Based Adaptive Hexahedral Mesh Generation Algorithmijeei-iaes
This document summarizes an adaptive hexahedral mesh generation algorithm that uses density control. The algorithm involves 5 main steps: 1) Identifying the boundaries of the solid model, 2) Constructing refinement fields based on density metrics and generating an initial grid structure, 3) Generating a jagged core mesh by removing exterior elements, 4) Matching the core mesh surfaces to the solid model surfaces, 5) Improving mesh quality using optimization techniques. The algorithm aims to generate high quality hexahedral meshes with reasonably distributed density. It uses curvature and thickness criteria to refine the initial grid structure adaptively before generating the core mesh and performing surface matching and quality optimization.
This document describes a photoelastic stress analysis of the bending strength of a helical gear. The analysis involved creating a 3D photoelastic model of the gear, subjecting it to loading, and freezing the stresses. Slices were cut from the model and observed under polarized light to determine stress distributions. Maximum bending stresses were calculated for different slices and scaled up to prototype values. Finite element analysis was also performed and showed good agreement with experimental results, with less than 2% variation in maximum stress values. The analysis found that helical gears experience higher peak bending stresses than spur gears due to their point contact loading.
IRJET- Vibration Analysis of Simply Supported Beam with Varying Crack Dep...IRJET Journal
This document discusses using finite element analysis in ANSYS to analyze vibration in a simply supported beam with cracks of varying depth and location. It first provides background on using changes in natural frequency and mode shapes to detect damage in structures. It then reviews previous research on modeling cracks and their effects in beams. The document describes developing finite element models of cracked and uncracked beams in ANSYS to calculate natural frequencies and compare to theoretical results. The goal is to present results of using vibration analysis for crack detection.
REVIEW STATIC AND DYNAMIC ANALYSIS OF A LAMINATED COMPOSITE BEAMIRJET Journal
This document summarizes research on analyzing the static and dynamic behavior of laminated composite beams. It reviews literature on analyzing composite beams through finite element analysis to study the effects of fiber orientation, stacking sequence, and other parameters on the beam's deflections, stresses, and natural frequencies. The document outlines research conducting both numerical simulations and experimental tests on composite beams to model their vibration characteristics. It surveys various studies that use finite element modeling to investigate behaviors like buckling, cracking, and delamination in composite beams made of materials like glass fiber reinforced polymers.
A study on flexural strength of hybrid polymer composite materials e glass fibIAEME Publication
This document discusses a study on the flexural strength of hybrid polymer composite materials made of E-glass fibers, carbon fibers, and graphite particles in an epoxy resin matrix. The study varies the thickness of the laminates from 2mm to 4mm and uses two different grades of epoxy resin, 5052 and 556, as the matrix material. Flexural tests were conducted to evaluate how the flexural strength is affected by varying the laminate thickness and using different matrix materials. The goal of the study was to generate material property data for these hybrid composite laminates fabricated using the hand layup and room temperature vacuum bag molding process.
MOLDING PROCESS INDUCED ANISOTROPY EFFECT ON BUCKLING ANALYSIS OF FIBER- FILL...IAEME Publication
Fiber-filled plastic materials are commonly used in metal replacement applications. The combination of low weight and high stiffness makes fiber-filled plastics ideal for high-performance applications. The key to unlocking the potential of these plastics lies in the orientation of the fibers. The orientation direction and the degree of orientation of the fibers determine the mechanical properties of the molded part. The injection moluding process for fiber-filled parts can cause great
variation in strength throughout a part, the effects of the injection process should be considered in the design of such a part.
Vibration Analysis of Multilayered beam of Graphite Epoxy, Epoxy E- Glass Com...IRJET Journal
This document summarizes a study on the vibration analysis of multilayered beams made of graphite epoxy and epoxy-glass composites. The study analyzed the natural frequencies and mode shapes of four-layered composite beams under various stacking sequences, fiber orientations, materials, and boundary conditions. The beams were modeled using finite element analysis in ANSYS and the natural frequencies were calculated. The results show that natural frequency decreases with increasing fiber orientation angle and increases with increasing beam stiffness. Boundary conditions like fixed-fixed had higher natural frequencies than other conditions like fixed-free.
Hyperelastic material models in finite element analysis of polymersKartik Srinivas
This paper describes the Hyperelastic material models and strain energy functions used in the finite element analysis (FEA) of polymers. Material characterization testing
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Dynamic Behavior of Fiber Reinforced Composite Beam With CrackIJMERJOURNAL
ABSTRACT: Composites have numerous applications in engineering field. In engineering design averting failure of composite material system has been a vital concern. Composite are subjected to numerous types of damage, mostly cracks and delamination. The presence of crack causes a variation in stiffness and it also affects the mechanical behavior of entire structure. Cracks are caused by fatigue under service conditions as a consequence of limited fatigue strength. Measurement of natural frequency can be taken as a tool to identify the presence of cracks which are propagated due to fluctuating stress conditions. In the present work an attempt has been made to find the natural frequencies of fiber reinforced composite cantilever beams with and without presence of a transverse surface crack. E-Glass fiber reinforced composite beams with epoxy resin having a volume fraction of 16.6% have been casted by hand lay-up method and are used for determination of natural frequencies of beams. The free vibration study is carried out by ATALON FFT analyzer, accelerometer and excitation by impact hammer. The DEWESOFT software is used to convert the responses from time domain to frequency domain and the Frequency Response Functions (FRF) are obtained. The experimental results are compared with numerical predictions using the FEM based software package ANSYS 16.2. The process of finding of natural frequencies is carried out for various crack depth ratios at various crack locations by both numerical and experimental methods. A good accord is observed between the experimental and ANSYS results.
This document summarizes research on developing a multi-scale modeling approach to predict the structural behavior of carbon fiber reinforced composite pipes used for offshore oil and gas risers. The approach models the pipe behavior at the micro, meso, and macro scales and links the scales together. Experiments were conducted to validate the modeling approach and determine material properties at each scale. Results showed good agreement between predicted and experimental properties and structural response at different loading conditions. The multi-scale modeling approach shows promise for designing composite risers while addressing current limitations in experience, standards, and design methodologies.
Structural Health Monitoring of Fibre Reinforced Polymer Composite Leaf Springpaperpublications3
Abstract: The Structural Health Monitoring (SHM) has gained wide acceptance in the recent years as a means to monitor a structure and provide an early warning of an unsafe condition using real time data. Many researchers have shown that, Fiber Reinforced Polymer (FRP) composite leaf springs can be successfully used for suspension systems. This paper emphasizes on developing the SHM system for E-Glass/Epoxy FRP composite leaf springs based on strain sensing.
Structural Health Monitoring of Fibre Reinforced Polymer Composite Leaf Springpaperpublications3
Abstract: The Structural Health Monitoring (SHM) has gained wide acceptance in the recent years as a means to monitor a structure and provide an early warning of an unsafe condition using real time data. Many researchers have shown that, Fiber Reinforced Polymer (FRP) composite leaf springs can be successfully used for suspension systems. This paper emphasizes on developing the SHM system for E-Glass/Epoxy FRP composite leaf springs based on strain sensing.
Keywords: Structural health monitoring, Fiber reinforced polymer, Strain-gauge sensors, Composite leaf spring, E-Glass/Epoxy.
Modelling and Analysis of Hybrid Composite Joint Using Fem in AnsysIOSR Journals
Abstract: Composite materials are widely used in the various Fields. Due to the high strength they are widely
used in the low weight constructions and also used as a suitable alternative to metals. In various applications
and also for joining various composite parts together, they are fastened together using adhesives or Mechanical
fasteners. Modeling and static analysis of 3-D Models of joints such as bonded, riveted and hybrid. The results
were found in terms of vonmises stress, shear stress, and normal stress for stress distribution. ANSYS FEA tool
has been used for stress distribution characteristics of various configurations of double riveted single lap joint
with three joining methods namely bonded, riveted and hybrid the present study deals with the analysis of single
lap joint subjected to the given tensile load and the stress distribution in the members under various design
conditions are found.
“Investigation of Structural Analysis of Composite Beam Having I- Cross Secti...IOSR Journals
Abstract: - In structural applications, beam is one of the most common structural members that have been
considered in design. This paper is intended to provide tools that ensure better designing options for composite
laminates of I -beam. In this Paper an analytical method & FEM approach calculating axial stiffness , Axial
stress ,Axial strain of flange and web laminates. The results show the stacking sequence and fiber angle
orientation strongly affects strength of composite I-beam.
Experimental evaluation of flexural properties of polymer matrix compositesiaemedu
This document discusses an experimental evaluation of the flexural properties of polymer matrix composites reinforced with glass and carbon fibers. Three-point bending tests were conducted on laminate beams fabricated with bi-woven glass and carbon fibers in epoxy resin. The test results showed that carbon fiber composites had higher flexural strength and stiffness compared to glass fiber composites. Additionally, increasing the laminate thickness from 2mm to 3mm improved the flexural properties. The findings from the experimental tests agreed with theoretical predictions about the superior mechanical properties of carbon fibers relative to other fiber types.
Modal Analysis of Fibre Reinforced Composite Beams with a Transverse Crack U...IJMER
In many structures like high speed machineries, aircrafts and light weight structures
composite beams and beam like structures are main constituent elements. Cracks induced in these
structural elements cause serious failure and monitoring of these cracks is essential. The presence of
these cracks influences the dynamic characteristics of the structural elements. Hence the changes in
natural frequencies and mode shapes have been the subject of interest of many investigations. In the
present work two Fiber- Reinforced Plastic (FRP) materials, Graphite Fibre Reinforced Polyamide
and E-Glass Fibre Reinforced Polymer have been selected as beam materials for modal analysis using
ANSYS 13.0. The analysis is carried out for these two beams in different ways. Initially the analysis is
carried out for different orientation of fibres for two beams. Later the effect of dimensions is analyzed
by varying one dimension of the beam at a time by keeping the other two constant. In the next step the
analysis is performed for constant dimensions of each beam for same layer orientation and constant
volume fraction of fibre by introducing transverse cracks of different depths at various positions along
the length of the beam. The results obtained are analyzed.
DESIGN AND ANALYSIS OF BRIDGE WITH TWO ENDS FIXED ON VERTICAL WALL USING FIN...IAEME Publication
The Finite element analyses are conducted to model the tensile capacity of steel fiber-reinforced concrete (SFRC). For this purpose bridge with two ends fixed one specimen are casted and tested under direct and uni-axial tension. Two types of aggregates (brick and stone) are used to cast the SFRC and plain concrete. The fiber volume ratio is maintained 1.5 %. Total 8 numbers of dog-bone specimens are made and tested in a 1000-kN capacity digital universal testing machine (UTM). The strain data are gathered employing digital image correlation technique from high-definition images and high-speed video clips. Then, the strain data are synthesized with the load data obtained from the load cell of the UTM.
Static Analysis and Experimentation of Jute Fiber Reinforced with E-GlassAM Publications
A composite is a heterogeneous material created by the synthetic assembly of two or more components constituting
reinforcing matrix and a compatible matrix to obtain specific characteristics and properties. In this project we Selected jute fiber, EGlass
and it is embedded in a biopolymer matrix system (epoxy), the task of which is to hold the fibers together, this provides and
stabilizes the shape of the composite structure, transmits the shear forces between the mechanically high-quality fibers, and protects
them against radiation and other aggressive media and the specimen is prepared. The component is conditioned and prepared for
testing and subjected to tensile, compression, hardness and bending test calculating the element results with ansys by using the test
results. The main aim of this project is to reduce the impact on the environment, by preparing specimen using recyclable natural fibers.
This document summarizes research calculating and optimizing the homogenized stiffness of fiber-reinforced composite materials on the 3DEXPERIENCE platform. A representative volume element (RVE) model of a hexagonal fiber packing in a polymer matrix is used to calculate the composite's effective stiffness through simulations of strain and stress. The homogenized properties agree well with micromechanical models. Design of experiments and optimization workflows on the platform are used to maximize longitudinal stiffness while minimizing transverse stiffness by varying the fiber and matrix material properties up to 20% from their original values.
Today, retrofitting of the old structures is important. For this purpose, determination of capacities for these buildings, which mostly are non-ductile, is a very useful tool. In this context, non-ductile RC joint in concrete structures, as one of the most important elements in these buildings are considered, and the shear capacity, especially for retrofitting goals can be very beneficial. In this paper, three famous soft computing methods including artificial neural networks (ANN), adaptive neuro-fuzzy inference system (ANFIS) and also group method of data handling (GMDH) were used to estimating the shear capacity for this type of RC joints. A set of experimental data which were a failure in joint are collected, and first, the effective parameters were identified. Based on these parameters, predictive models are presented in detail and compare with each other. The results showed that the considered soft computing techniques are very good capabilities to determine the shear capacity.
Probabilistic design and random optimization of hollow rectangular composite ...IAEME Publication
This document describes a probabilistic design and random optimization of a hollow rectangular composite beam structure using finite element analysis. A Monte Carlo simulation was conducted by randomly varying design parameters like beam length, ply angles, elastic modulus, and force within defined ranges. Scatter plots of maximum bending stress were obtained for different parameter combinations. Random optimization was then performed to minimize bending stress, obtaining 1000 feasible sets. The best set that reduced bending stress the most is proposed as the optimized design.
Similar to Micromechanical analysis of frp composites 2 (20)
Submission Deadline: 30th September 2022
Acceptance Notification: Within Three Days’ time period
Online Publication: Within 24 Hrs. time Period
Expected Date of Dispatch of Printed Journal: 5th October 2022
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...IAEME Publication
White layer thickness (WLT) formed and surface roughness in wire electric discharge turning (WEDT) of tungsten carbide composite has been made to model through response surface methodology (RSM). A Taguchi’s standard Design of experiments involving five input variables with three levels has been employed to establish a mathematical model between input parameters and responses. Percentage of cobalt content, spindle speed, Pulse on-time, wire feed and pulse off-time were changed during the experimental tests based on the Taguchi’s orthogonal array L27 (3^13). Analysis of variance (ANOVA) revealed that the mathematical models obtained can adequately describe performance within the parameters of the factors considered. There was a good agreement between the experimental and predicted values in this study.
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURSIAEME Publication
The study explores the reasons for a transgender to become entrepreneurs. In this study transgender entrepreneur was taken as independent variable and reasons to become as dependent variable. Data were collected through a structured questionnaire containing a five point Likert Scale. The study examined the data of 30 transgender entrepreneurs in Salem Municipal Corporation of Tamil Nadu State, India. Simple Random sampling technique was used. Garrett Ranking Technique (Percentile Position, Mean Scores) was used as the analysis for the present study to identify the top 13 stimulus factors for establishment of trans entrepreneurial venture. Economic advancement of a nation is governed upon the upshot of a resolute entrepreneurial doings. The conception of entrepreneurship has stretched and materialized to the socially deflated uncharted sections of transgender community. Presently transgenders have smashed their stereotypes and are making recent headlines of achievements in various fields of our Indian society. The trans-community is gradually being observed in a new light and has been trying to achieve prospective growth in entrepreneurship. The findings of the research revealed that the optimistic changes are taking place to change affirmative societal outlook of the transgender for entrepreneurial ventureship. It also laid emphasis on other transgenders to renovate their traditional living. The paper also highlights that legislators, supervisory body should endorse an impartial canons and reforms in Tamil Nadu Transgender Welfare Board Association.
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURSIAEME Publication
Since ages gender difference is always a debatable theme whether caused by nature, evolution or environment. The birth of a transgender is dreadful not only for the child but also for their parents. The pain of living in the wrong physique and treated as second class victimized citizen is outrageous and fully harboured with vicious baseless negative scruples. For so long, social exclusion had perpetuated inequality and deprivation experiencing ingrained malign stigma and besieged victims of crime or violence across their life spans. They are pushed into the murky way of life with a source of eternal disgust, bereft sexual potency and perennial fear. Although they are highly visible but very little is known about them. The common public needs to comprehend the ravaged arrogance on these insensitive souls and assist in integrating them into the mainstream by offering equal opportunity, treat with humanity and respect their dignity. Entrepreneurship in the current age is endorsing the gender fairness movement. Unstable careers and economic inadequacy had inclined one of the gender variant people called Transgender to become entrepreneurs. These tiny budding entrepreneurs resulted in economic transition by means of employment, free from the clutches of stereotype jobs, raised standard of living and handful of financial empowerment. Besides all these inhibitions, they were able to witness a platform for skill set development that ignited them to enter into entrepreneurial domain. This paper epitomizes skill sets involved in trans-entrepreneurs of Thoothukudi Municipal Corporation of Tamil Nadu State and is a groundbreaking determination to sightsee various skills incorporated and the impact on entrepreneurship.
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONSIAEME Publication
The banking and financial services industries are experiencing increased technology penetration. Among them, the banking industry has made technological advancements to better serve the general populace. The economy focused on transforming the banking sector's system into a cashless, paperless, and faceless one. The researcher wants to evaluate the user's intention for utilising a mobile banking application. The study also examines the variables affecting the user's behaviour intention when selecting specific applications for financial transactions. The researcher employed a well-structured questionnaire and a descriptive study methodology to gather the respondents' primary data utilising the snowball sampling technique. The study includes variables like performance expectations, effort expectations, social impact, enabling circumstances, and perceived risk. Each of the aforementioned variables has a major impact on how users utilise mobile banking applications. The outcome will assist the service provider in comprehending the user's history with mobile banking applications.
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONSIAEME Publication
Technology upgradation in banking sector took the economy to view that payment mode towards online transactions using mobile applications. This system enabled connectivity between banks, Merchant and user in a convenient mode. there are various applications used for online transactions such as Google pay, Paytm, freecharge, mobikiwi, oxygen, phonepe and so on and it also includes mobile banking applications. The study aimed at evaluating the predilection of the user in adopting digital transaction. The study is descriptive in nature. The researcher used random sample techniques to collect the data. The findings reveal that mobile applications differ with the quality of service rendered by Gpay and Phonepe. The researcher suggest the Phonepe application should focus on implementing the application should be user friendly interface and Gpay on motivating the users to feel the importance of request for money and modes of payments in the application.
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINOIAEME Publication
The prototype of a voice-based ATM for visually impaired using Arduino is to help people who are blind. This uses RFID cards which contain users fingerprint encrypted on it and interacts with the users through voice commands. ATM operates when sensor detects the presence of one person in the cabin. After scanning the RFID card, it will ask to select the mode like –normal or blind. User can select the respective mode through voice input, if blind mode is selected the balance check or cash withdraw can be done through voice input. Normal mode procedure is same as the existing ATM.
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...IAEME Publication
There is increasing acceptability of emotional intelligence as a major factor in personality assessment and effective human resource management. Emotional intelligence as the ability to build capacity, empathize, co-operate, motivate and develop others cannot be divorced from both effective performance and human resource management systems. The human person is crucial in defining organizational leadership and fortunes in terms of challenges and opportunities and walking across both multinational and bilateral relationships. The growing complexity of the business world requires a great deal of self-confidence, integrity, communication, conflict and diversity management to keep the global enterprise within the paths of productivity and sustainability. Using the exploratory research design and 255 participants the result of this original study indicates strong positive correlation between emotional intelligence and effective human resource management. The paper offers suggestions on further studies between emotional intelligence and human capital development and recommends for conflict management as an integral part of effective human resource management.
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMYIAEME Publication
Our life journey, in general, is closely defined by the way we understand the meaning of why we coexist and deal with its challenges. As we develop the "inspiration economy", we could say that nearly all of the challenges we have faced are opportunities that help us to discover the rest of our journey. In this note paper, we explore how being faced with the opportunity of being a close carer for an aging parent with dementia brought intangible discoveries that changed our insight of the meaning of the rest of our life journey.
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...IAEME Publication
The main objective of this study is to analyze the impact of aspects of Organizational Culture on the Effectiveness of the Performance Management System (PMS) in the Health Care Organization at Thanjavur. Organizational Culture and PMS play a crucial role in present-day organizations in achieving their objectives. PMS needs employees’ cooperation to achieve its intended objectives. Employees' cooperation depends upon the organization’s culture. The present study uses exploratory research to examine the relationship between the Organization's culture and the Effectiveness of the Performance Management System. The study uses a Structured Questionnaire to collect the primary data. For this study, Thirty-six non-clinical employees were selected from twelve randomly selected Health Care organizations at Thanjavur. Thirty-two fully completed questionnaires were received.
Living in 21st century in itself reminds all of us the necessity of police and its administration. As more and more we are entering into the modern society and culture, the more we require the services of the so called ‘Khaki Worthy’ men i.e., the police personnel. Whether we talk of Indian police or the other nation’s police, they all have the same recognition as they have in India. But as already mentioned, their services and requirements are different after the like 26th November, 2008 incidents, where they without saving their own lives has sacrificed themselves without any hitch and without caring about their respective family members and wards. In other words, they are like our heroes and mentors who can guide us from the darkness of fear, militancy, corruption and other dark sides of life and so on. Now the question arises, if Gandhi would have been alive today, what would have been his reaction/opinion to the police and its functioning? Would he have some thing different in his mind now what he had been in his mind before the partition or would he be going to start some Satyagraha in the form of some improvement in the functioning of the police administration? Really these questions or rather night mares can come to any one’s mind, when there is too much confusion is prevailing in our minds, when there is too much corruption in the society and when the polices working is also in the questioning because of one or the other case throughout the India. It is matter of great concern that we have to thing over our administration and our practical approach because the police personals are also like us, they are part and parcel of our society and among one of us, so why we all are pin pointing towards them.
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...IAEME Publication
The goal of this study was to see how talent management affected employee retention in the selected IT organizations in Chennai. The fundamental issue was the difficulty to attract, hire, and retain talented personnel who perform well and the gap between supply and demand of talent acquisition and retaining them within the firms. The study's main goals were to determine the impact of talent management on employee retention in IT companies in Chennai, investigate talent management strategies that IT companies could use to improve talent acquisition, performance management, career planning and formulate retention strategies that the IT firms could use. The respondents were given a structured close-ended questionnaire with the 5 Point Likert Scale as part of the study's quantitative research design. The target population consisted of 289 IT professionals. The questionnaires were distributed and collected by the researcher directly. The Statistical Package for Social Sciences (SPSS) was used to collect and analyse the questionnaire responses. Hypotheses that were formulated for the various areas of the study were tested using a variety of statistical tests. The key findings of the study suggested that talent management had an impact on employee retention. The studies also found that there is a clear link between the implementation of talent management and retention measures. Management should provide enough training and development for employees, clarify job responsibilities, provide adequate remuneration packages, and recognise employees for exceptional performance.
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...IAEME Publication
Globally, Millions of dollars were spent by the organizations for employing skilled Information Technology (IT) professionals. It is costly to replace unskilled employees with IT professionals possessing technical skills and competencies that aid in interconnecting the business processes. The organization’s employment tactics were forced to alter by globalization along with technological innovations as they consistently diminish to remain lean, outsource to concentrate on core competencies along with restructuring/reallocate personnel to gather efficiency. As other jobs, organizations or professions have become reasonably more appropriate in a shifting employment landscape, the above alterations trigger both involuntary as well as voluntary turnover. The employee view on jobs is also afflicted by the COVID-19 pandemic along with the employee-driven labour market. So, having effective strategies is necessary to tackle the withdrawal rate of employees. By associating Emotional Intelligence (EI) along with Talent Management (TM) in the IT industry, the rise in attrition rate was analyzed in this study. Only 303 respondents were collected out of 350 participants to whom questionnaires were distributed. From the employees of IT organizations located in Bangalore (India), the data were congregated. A simple random sampling methodology was employed to congregate data as of the respondents. Generating the hypothesis along with testing is eventuated. The effect of EI and TM along with regression analysis between TM and EI was analyzed. The outcomes indicated that employee and Organizational Performance (OP) were elevated by effective EI along with TM.
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...IAEME Publication
By implementing talent management strategy, organizations would have the option to retain their skilled professionals while additionally working on their overall performance. It is the course of appropriately utilizing the ideal individuals, setting them up for future top positions, exploring and dealing with their performance, and holding them back from leaving the organization. It is employee performance that determines the success of every organization. The firm quickly obtains an upper hand over its rivals in the event that its employees having particular skills that cannot be duplicated by the competitors. Thus, firms are centred on creating successful talent management practices and processes to deal with the unique human resources. Firms are additionally endeavouring to keep their top/key staff since on the off chance that they leave; the whole store of information leaves the firm's hands. The study's objective was to determine the impact of talent management on organizational performance among the selected IT organizations in Chennai. The study recommends that talent management limitedly affects performance. On the off chance that this talent is appropriately management and implemented properly, organizations might benefit as much as possible from their maintained assets to support development and productivity, both monetarily and non-monetarily.
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...IAEME Publication
Banking regulations act of India, 1949 defines banking as “acceptance of deposits for the purpose of lending or investment from the public, repayment on demand or otherwise and withdrawable through cheques, drafts order or otherwise”, the major participants of the Indian financial system are commercial banks, the financial institution encompassing term lending institutions. Investments institutions, specialized financial institution and the state level development banks, non banking financial companies (NBFC) and other market intermediaries such has the stock brokers and money lenders are among the oldest of the certain variants of NBFC and the oldest market participants. The asset quality of banks is one of the most important indicators of their financial health. The Indian banking sector has been facing severe problems of increasing Non- Performing Assets (NPAs). The NPAs growth directly and indirectly affects the quality of assets and profitability of banks. It also shows the efficiency of banks credit risk management and the recovery effectiveness. NPA do not generate any income, whereas, the bank is required to make provisions for such as assets that why is a double edge weapon. This paper outlines the concept of quality of bank loans of different types like Housing, Agriculture and MSME loans in state Haryana of selected public and private sector banks. This study is highlighting problems associated with the role of commercial bank in financing Small and Medium Scale Enterprises (SME). The overall objective of the research was to assess the effect of the financing provisions existing for the setting up and operations of MSMEs in the country and to generate recommendations for more robust financing mechanisms for successful operation of the MSMEs, in turn understanding the impact of MSME loans on financial institutions due to NPA. There are many research conducted on the topic of Non- Performing Assets (NPA) Management, concerning particular bank, comparative study of public and private banks etc. In this paper the researcher is considering the aggregate data of selected public sector and private sector banks and attempts to compare the NPA of Housing, Agriculture and MSME loans in state Haryana of public and private sector banks. The tools used in the study are average and Anova test and variance. The findings reveal that NPA is common problem for both public and private sector banks and is associated with all types of loans either that is housing loans, agriculture loans and loans to SMES. NPAs of both public and private sector banks show the increasing trend. In 2010-11 GNPA of public and private sector were at same level it was 2% but after 2010-11 it increased in many fold and at present there is GNPA in some more than 15%. It shows the dark area of Indian banking sector.
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...IAEME Publication
An experiment conducted in this study found that BaSO4 changed Nylon 6's mechanical properties. By changing the weight ratios, BaSO4 was used to make Nylon 6. This Researcher looked into how hard Nylon-6/BaSO4 composites are and how well they wear. Experiments were done based on Taguchi design L9. Nylon-6/BaSO4 composites can be tested for their hardness number using a Rockwell hardness testing apparatus. On Nylon/BaSO4, the wear behavior was measured by a wear monitor, pinon-disc friction by varying reinforcement, sliding speed, and sliding distance, and the microstructure of the crack surfaces was observed by SEM. This study provides significant contributions to ultimate strength by increasing BaSO4 content up to 16% in the composites, and sliding speed contributes 72.45% to the wear rate
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...IAEME Publication
The majority of the population in India lives in villages. The village is the back bone of the country. Village or rural industries play an important role in the national economy, particularly in the rural development. Developing the rural economy is one of the key indicators towards a country’s success. Whether it be the need to look after the welfare of the farmers or invest in rural infrastructure, Governments have to ensure that rural development isn’t compromised. The economic development of our country largely depends on the progress of rural areas and the standard of living of rural masses. Village or rural industries play an important role in the national economy, particularly in the rural development. Rural entrepreneurship is based on stimulating local entrepreneurial talent and the subsequent growth of indigenous enterprises. It recognizes opportunity in the rural areas and accelerates a unique blend of resources either inside or outside of agriculture. Rural entrepreneurship brings an economic value to the rural sector by creating new methods of production, new markets, new products and generate employment opportunities thereby ensuring continuous rural development. Social Entrepreneurship has the direct and primary objective of serving the society along with the earning profits. So, social entrepreneurship is different from the economic entrepreneurship as its basic objective is not to earn profits but for providing innovative solutions to meet the society needs which are not taken care by majority of the entrepreneurs as they are in the business for profit making as a sole objective. So, the Social Entrepreneurs have the huge growth potential particularly in the developing countries like India where we have huge societal disparities in terms of the financial positions of the population. Still 22 percent of the Indian population is below the poverty line and also there is disparity among the rural & urban population in terms of families living under BPL. 25.7 percent of the rural population & 13.7 percent of the urban population is under BPL which clearly shows the disparity of the poor people in the rural and urban areas. The need to develop social entrepreneurship in agriculture is dictated by a large number of social problems. Such problems include low living standards, unemployment, and social tension. The reasons that led to the emergence of the practice of social entrepreneurship are the above factors. The research problem lays upon disclosing the importance of role of social entrepreneurship in rural development of India. The paper the tendencies of social entrepreneurship in India, to present successful examples of such business for providing recommendations how to improve situation in rural areas in terms of social entrepreneurship development. Indian government has made some steps towards development of social enterprises, social entrepreneurship, and social in- novation, but a lot remains to be improved.
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...IAEME Publication
Distribution system is a critical link between the electric power distributor and the consumers. Most of the distribution networks commonly used by the electric utility is the radial distribution network. However in this type of network, it has technical issues such as enormous power losses which affect the quality of the supply. Nowadays, the introduction of Distributed Generation (DG) units in the system help improve and support the voltage profile of the network as well as the performance of the system components through power loss mitigation. In this study network reconfiguration was done using two meta-heuristic algorithms Particle Swarm Optimization and Gravitational Search Algorithm (PSO-GSA) to enhance power quality and voltage profile in the system when simultaneously applied with the DG units. Backward/Forward Sweep Method was used in the load flow analysis and simulated using the MATLAB program. Five cases were considered in the Reconfiguration based on the contribution of DG units. The proposed method was tested using IEEE 33 bus system. Based on the results, there was a voltage profile improvement in the system from 0.9038 p.u. to 0.9594 p.u.. The integration of DG in the network also reduced power losses from 210.98 kW to 69.3963 kW. Simulated results are drawn to show the performance of each case.
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...IAEME Publication
Manufacturing industries have witnessed an outburst in productivity. For productivity improvement manufacturing industries are taking various initiatives by using lean tools and techniques. However, in different manufacturing industries, frugal approach is applied in product design and services as a tool for improvement. Frugal approach contributed to prove less is more and seems indirectly contributing to improve productivity. Hence, there is need to understand status of frugal approach application in manufacturing industries. All manufacturing industries are trying hard and putting continuous efforts for competitive existence. For productivity improvements, manufacturing industries are coming up with different effective and efficient solutions in manufacturing processes and operations. To overcome current challenges, manufacturing industries have started using frugal approach in product design and services. For this study, methodology adopted with both primary and secondary sources of data. For primary source interview and observation technique is used and for secondary source review has done based on available literatures in website, printed magazines, manual etc. An attempt has made for understanding application of frugal approach with the study of manufacturing industry project. Manufacturing industry selected for this project study is Mahindra and Mahindra Ltd. This paper will help researcher to find the connections between the two concepts productivity improvement and frugal approach. This paper will help to understand significance of frugal approach for productivity improvement in manufacturing industry. This will also help to understand current scenario of frugal approach in manufacturing industry. In manufacturing industries various process are involved to deliver the final product. In the process of converting input in to output through manufacturing process productivity plays very critical role. Hence this study will help to evolve status of frugal approach in productivity improvement programme. The notion of frugal can be viewed as an approach towards productivity improvement in manufacturing industries.
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENTIAEME Publication
In this paper, we investigated a queuing model of fuzzy environment-based a multiple channel queuing model (M/M/C) ( /FCFS) and study its performance under realistic conditions. It applies a nonagonal fuzzy number to analyse the relevant performance of a multiple channel queuing model (M/M/C) ( /FCFS). Based on the sub interval average ranking method for nonagonal fuzzy number, we convert fuzzy number to crisp one. Numerical results reveal that the efficiency of this method. Intuitively, the fuzzy environment adapts well to a multiple channel queuing models (M/M/C) ( /FCFS) are very well.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).