In this paper the objective of this work is to develop a model to simulate the vibrational effects of rotating machine parts on the single point cutting tool and cutting force acting on single
point cutting tool in turning. In this paper experimental studies were performed on turning process & vibration is measured with the help of accelerometer along with a device called as Fast Fourier Transformer (FFT) Analyzer and cutting force is measured with the help of Tool dynamometer. The
vibration of single point cutting tool is sensed by accelerometer located on the tool-post of lathe machine.
In this paper the objective of this work is to develop a model to simulate the vibrational
effects of rotating machine parts on the single point cutting tool and cutting force acting on single
point cutting tool in turning. In this paper experimental studies were performed on turning process &
vibration is measured with the help of accelerometer along with a device called as Fast Fourier
Transformer (FFT) Analyzer and cutting force is measured with the help of Tool dynamometer. The
vibration of single point cutting tool is sensed by accelerometer located on the tool-post of lathe
machine. The accelerometer will send the sensed vibration to FFT Analyzer which can be convert the
sensed data by using accelerometer shown in PC such as frequency, Amplitude, displacement & so
on and cutting force is sensed by strain gauges which are compacted in tool post. The sensed force
will send to dynamometer, it displays the cutting force. The obtained experimental data given to an
Artificial Neural Network (ANN) in Matlab, with the help of experimental data ANN is to be trained.
And by using ANN can predict the vibrations and cutting force by changing parameters of turning
such as spindle speed, feed & depth of cut. This model of ANN can be predict vibrations of single
point cutting tool and cutting force acting on single point cutting tool to avoid the failure of cutting
tool.
Experimental study of Effect of Cutting Parameters on Cutting Force in Turnin...AM Publications
This document summarizes an experimental study on the effect of cutting parameters on cutting force during the turning process. Experiments were conducted on a lathe to study the influence of cutting speed, feed rate, and depth of cut on cutting force and surface roughness. Analysis of variance (ANOVA) found that depth of cut and the interaction between feed and depth of cut significantly affected cutting force. Feed rate, and the interaction between speed and feed most influenced surface roughness. Regression models were developed for cutting force and surface roughness based on the experimental results.
The document discusses modal analysis of a high-speed milling spindle. A finite element model of the spindle is created in ANSYS based on its specifications. Modal analysis of the model yields natural frequencies including 422 Hz. Experimental modal analysis using an FFT analyzer on a manufactured spindle specimen yields frequencies up to 401 Hz. Comparing the finite element and experimental results, 422 Hz is identified as the natural resonance frequency of the spindle, which is above the designed operating speed of 16,000 rpm. The modal analysis shows no resonance will occur during operation.
Theoretical and Software Based Comparison of Cantilever Beam: MODAL ANALYSISAM Publications
Modal analysis is a process of describing a structure in terms of its natural characteristics which are the
natural frequency and mode shape it's a dynamic property [1]. The change of modal characteristic directly provides force
excitation of structure condition based on change in frequency and mode shape of vibration. This paper presents results
of a theoretical modal analysis of beam made with different materials such as aluminium and mild steel. The beams
were excited assign impact hammer excitation frequency response functions (FRFS) were obtained using lab
view.(Signal Express). The FRFS were processed using signal express to identify the natural frequency and mode safe
of aluminium and mild steel beam.
The document analyzes problems with the shaft of a biomass grinder integrated with a briquetting plant. Finite element analysis was conducted using ANSYS software to model and simulate stresses on the stepped shaft under different loads and rotational speeds. The analysis found that maximum shear stress occurred at the point where the blower was fitted to the shaft. Increasing pressure led to higher von Mises and shear stresses. However, operating the shaft at higher rotational speeds reduced von Mises stresses, lowering the risk of failure. The study provides insights to reduce shaft stresses and improve reliability of the biomass grinder.
Experimental analysis of circular disc with diametral slotsIAEME Publication
Discs are important structural elements in engineering application such as pressure vessel,missiles and liquid container. The turbine, brake disc and diaphragm clutch spring are the wellknown examples for the industrial application of the annular plate with radial slots. The natural frequencies of component are of great interest in the analysis for response of structures to various excitations. Annular discs are fundamental structural elements studied in ocean engineering
applications from offshore platforms to under water acoustic transducers.
IRJET- Forced Damped Vibration Analysis of Optimized Cantilever Beam using Di...IRJET Journal
This document summarizes a study on analyzing the forced damped vibration of an optimized cantilever beam using different methods. The study aims to identify a suitable material for manufacturing an engine casing by considering parameters like material, weight, damping coefficient, spring stiffness, and natural frequency. Using the Taguchi method and regression analysis, aluminum is identified as the optimal material. The natural frequency is then evaluated using theoretical, experimental (FFT analyzer), and simulation (ANSYS) methods. Time graphs and FFT readings from the experimental setup show peak frequencies that match the theoretical natural frequency of 5.36 Hz calculated using analytical methods.
This document analyzes and models single point cutting of an HSS material tool using ANSYS to optimize transient vibration parameters like temperature and pressure. It describes the tool geometry and material properties and performs a transient analysis in ANSYS applying different pressure loads over time. The results show maximum deformations, strains, and stresses remain below yield criteria, with safety factors all above 10.
In this paper the objective of this work is to develop a model to simulate the vibrational
effects of rotating machine parts on the single point cutting tool and cutting force acting on single
point cutting tool in turning. In this paper experimental studies were performed on turning process &
vibration is measured with the help of accelerometer along with a device called as Fast Fourier
Transformer (FFT) Analyzer and cutting force is measured with the help of Tool dynamometer. The
vibration of single point cutting tool is sensed by accelerometer located on the tool-post of lathe
machine. The accelerometer will send the sensed vibration to FFT Analyzer which can be convert the
sensed data by using accelerometer shown in PC such as frequency, Amplitude, displacement & so
on and cutting force is sensed by strain gauges which are compacted in tool post. The sensed force
will send to dynamometer, it displays the cutting force. The obtained experimental data given to an
Artificial Neural Network (ANN) in Matlab, with the help of experimental data ANN is to be trained.
And by using ANN can predict the vibrations and cutting force by changing parameters of turning
such as spindle speed, feed & depth of cut. This model of ANN can be predict vibrations of single
point cutting tool and cutting force acting on single point cutting tool to avoid the failure of cutting
tool.
Experimental study of Effect of Cutting Parameters on Cutting Force in Turnin...AM Publications
This document summarizes an experimental study on the effect of cutting parameters on cutting force during the turning process. Experiments were conducted on a lathe to study the influence of cutting speed, feed rate, and depth of cut on cutting force and surface roughness. Analysis of variance (ANOVA) found that depth of cut and the interaction between feed and depth of cut significantly affected cutting force. Feed rate, and the interaction between speed and feed most influenced surface roughness. Regression models were developed for cutting force and surface roughness based on the experimental results.
The document discusses modal analysis of a high-speed milling spindle. A finite element model of the spindle is created in ANSYS based on its specifications. Modal analysis of the model yields natural frequencies including 422 Hz. Experimental modal analysis using an FFT analyzer on a manufactured spindle specimen yields frequencies up to 401 Hz. Comparing the finite element and experimental results, 422 Hz is identified as the natural resonance frequency of the spindle, which is above the designed operating speed of 16,000 rpm. The modal analysis shows no resonance will occur during operation.
Theoretical and Software Based Comparison of Cantilever Beam: MODAL ANALYSISAM Publications
Modal analysis is a process of describing a structure in terms of its natural characteristics which are the
natural frequency and mode shape it's a dynamic property [1]. The change of modal characteristic directly provides force
excitation of structure condition based on change in frequency and mode shape of vibration. This paper presents results
of a theoretical modal analysis of beam made with different materials such as aluminium and mild steel. The beams
were excited assign impact hammer excitation frequency response functions (FRFS) were obtained using lab
view.(Signal Express). The FRFS were processed using signal express to identify the natural frequency and mode safe
of aluminium and mild steel beam.
The document analyzes problems with the shaft of a biomass grinder integrated with a briquetting plant. Finite element analysis was conducted using ANSYS software to model and simulate stresses on the stepped shaft under different loads and rotational speeds. The analysis found that maximum shear stress occurred at the point where the blower was fitted to the shaft. Increasing pressure led to higher von Mises and shear stresses. However, operating the shaft at higher rotational speeds reduced von Mises stresses, lowering the risk of failure. The study provides insights to reduce shaft stresses and improve reliability of the biomass grinder.
Experimental analysis of circular disc with diametral slotsIAEME Publication
Discs are important structural elements in engineering application such as pressure vessel,missiles and liquid container. The turbine, brake disc and diaphragm clutch spring are the wellknown examples for the industrial application of the annular plate with radial slots. The natural frequencies of component are of great interest in the analysis for response of structures to various excitations. Annular discs are fundamental structural elements studied in ocean engineering
applications from offshore platforms to under water acoustic transducers.
IRJET- Forced Damped Vibration Analysis of Optimized Cantilever Beam using Di...IRJET Journal
This document summarizes a study on analyzing the forced damped vibration of an optimized cantilever beam using different methods. The study aims to identify a suitable material for manufacturing an engine casing by considering parameters like material, weight, damping coefficient, spring stiffness, and natural frequency. Using the Taguchi method and regression analysis, aluminum is identified as the optimal material. The natural frequency is then evaluated using theoretical, experimental (FFT analyzer), and simulation (ANSYS) methods. Time graphs and FFT readings from the experimental setup show peak frequencies that match the theoretical natural frequency of 5.36 Hz calculated using analytical methods.
This document analyzes and models single point cutting of an HSS material tool using ANSYS to optimize transient vibration parameters like temperature and pressure. It describes the tool geometry and material properties and performs a transient analysis in ANSYS applying different pressure loads over time. The results show maximum deformations, strains, and stresses remain below yield criteria, with safety factors all above 10.
Analysis of problems of biomass grinder integrated with briquetting planteSAT Journals
Abstract In briquetting plant, briquettes are produced through small pieces of soybean stalk, pigeon pea straw, lantana stalk, cotton stalk with moisture content below 10%. Biomass grinding machine is an important part of the briquetting plant, whose function is to convert aggregate material in to small pieces. Biomass grinder consists of mainly hammer, grate and shaft. Shaft is an essential component of grinding machine, when holds hammers, pulley and fan. The failures of shaft bearing were observed due to non uniform distribution of stress. The study was under taken to conduct simulation study of shaft for stress analysis with the help of FE software ANSYS 12.0.1. Keywords: Biomass Grinder, FEM, Stress-strain, Stepped Shaft
The document discusses friction welding of copper alloys and optimizing process parameters to minimize flash. It presents the following:
1) Friction welding involves rotating one workpiece at high speed while pressing it against another to generate heat and forge a joint. The document aims to optimize parameters like pressure and time to minimize flash width, height and thickness.
2) An experiment is conducted using a Taguchi orthogonal array to test friction pressure from 10-20 bar, time from 4-6 seconds, upset pressure from 20-30 bar, and upset time from 3-5 seconds.
3) Artificial neural networks and simulated annealing are used to model the process and optimize the parameters to minimize an objective function of
An Investigation on Surface Roughness of A356 Aluminium Alloy in Turning Proc...IRJET Journal
This document describes an investigation into optimizing surface roughness in the turning process of an A356 aluminum alloy rod. The study uses Taguchi methods to design experiments that vary cutting speed, feed rate, and depth of cut as process parameters. Experiments are conducted on a CNC lathe using a carbide tip tool. Surface roughness is measured using a portable profilometer and analyzed using ANOVA to determine the best process conditions for minimizing surface roughness while maximizing productivity. The optimal conditions found will be verified with confirmation tests.
Taguchi method and anova an approach for process parameters 2IAEME Publication
This document presents a study that uses the Taguchi method and ANOVA to optimize the surface roughness of EN 353 steel during wet turning operations. The study examines five process parameters (depth of cut, feed rate, spindle speed, rake angle, and pressurized coolant jet) at two levels each in a 16-run orthogonal array experiment. ANOVA results show that rake angle significantly affects surface roughness. The optimal parameter settings to minimize surface roughness are identified as: depth of cut of 1.0 mm, feed rate of 0.8 mm/rev, spindle speed of 780 rpm, rake angle of 70 degrees, and pressurized coolant jet of 1.0 bar. Confirmation tests validate that these settings
The document discusses the structural analysis and optimization of a steering yoke component in an automobile. Finite element analysis was conducted on the original design using Hyperworks software to determine stresses and displacement under an applied torque load. The analysis found high stresses in some areas. Topology optimization was then used to modify the design by removing unnecessary material. Analysis of the modified design showed lower stresses within the yield strength of the material, indicating an improved and safe design.
Structural analysis of steering yoke of an automobile for withstanding torsio...eSAT Journals
Abstract
The steering columns in a steering system are one of the main devices of an automobile. It is a very important part to attain stability and
steady movement of the vehicle. It consists of two yokes, one on each shaft, connected by a cross-shaped intermediate member i.e.
spider. Motion transmission system of vehicles consist several components which sometimes encounter unfortunate failures. Some
common reasons for the failures may be manufacturing and design faults, maintenance faults, raw material faults, material processing
faults as well as the user originated faults. In this paper finite element analysis of the component is carried out to find the stress and
displacement of the final product. For modeling of the component, CATIA V5 R17 software is used. Preprocessing work like meshing
and analysis work is carried out in HYPERWORKS software. Using FEA analysis, we can identify the nature and characteristics of
stresses acting on the yoke and also evaluate the influence of the loads/ mass/ geometry/ boundary conditions over the yoke.
Keywords: Steering Yoke, Structural analysis, FEA, CATIA V5, Hyper works
Finite Element Based Analysis of Rotating Robot PedestalIRJET Journal
The document describes performing a finite element analysis on the pedestal structure that supports two rotating robots. It outlines creating a CAD model of the pedestal in ANSYS, applying boundary conditions like forces and moments from the robot specifications, and analyzing the structure to determine equivalent stress and total deformation to validate that the design is safe and stable under the expected loads. The analysis found the maximum stress of 216 MPa and deformation of 1.33 mm when applying the worst-case load combinations, and modifications to the bolt size reduced the stress below the allowable limit of 150 MPa.
IRJET- Design and Analysis of an Indexing FixtureIRJET Journal
The document describes the design and analysis of an indexing fixture used to rotate a 6-cylinder truck engine block. The indexing fixture allows the engine block to be rotated through specific angles, improving safety, reducing time, and making the process easier compared to previous manual methods. Key components of the indexing fixture include a base to bear the engine block, left and right indexing plates, shafts, housings, and a motor providing 2.2 kW of power to rotate the fixture. Design calculations determined the maximum torque of 4254 Nm would occur at 90 degrees of rotation. The indexing fixture aims to improve ergonomics, ease of handling, safety, and reduce time compared to previous lifting and rotating of heavy engine blocks.
EFFECTS OF PROCESS PARAMETERS ON CUTTING SPEED IN WIRE-CUT EDM OF 9CRSI TOOL ...IAEME Publication
This article presents a study on the investigation of the effects of the input
parameters on the cutting speed in machining 90CrSi tool steel using wire cut electrical
discharge machining (EDM). In this work, experiments were performed with factorial
design with a total of 32 experimental runs. In addition, the input factors including the
pulse on time, the pulse off time, the cutting voltage, the server voltage, the wire feed
and the feed speed were carefully selected for the investigation. The effects of this
factors on the cutting speed were learned by analysing variance. Moreover, a
regression equation to determine the cutting speed was introduced
Application of Taguchi Experiment Design for Decrease of Cogging Torque in P...ijcsa
GENICHI TAGUCHI developed statistical methods for quality improvement of engineering products,
marketing, etc. This method is called Taguchi method that more recently applied to engineering and
applied science. The Taguchi experiment design method for optimal design to mitigate cogging torque of a
surface permanent magnet (SPM) motor is used in this article. In this paper, an efficient algorithm to the
solutions for shape of PM is proposed and applied to optimize the shape of PMs in a surface-mounted PM
motor to reduce the cogging torque. Finally, Simulation results are presented that indicates the reduction
of magnitude of cogging torque.
Cutting parameter optimization for minimizing machining distortion of thinIAEME Publication
This document discusses an experimental study that uses Taguchi design of experiments to optimize machining parameters for minimizing distortion when machining thin-walled aluminum components. Specifically:
1) A series of machining experiments were conducted using an L16 orthogonal array to examine the effects of speed, feed, depth of cut, width of cut, and tool path on distortion.
2) Analysis of the signal-to-noise ratios and ANOVA revealed that depth of cut has the greatest influence on distortion (55.72%), followed by width of cut (25.31%). Feed has a negligible effect (2.49%).
3) Confirmation experiments using the optimized parameters of low feed, medium-high speed, low
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
The document describes the design and development of an attachment for a universal testing machine (UTM) to enable torsion testing. The attachment allows the UTM to determine the torsional strength and stiffness of materials by applying a twisting motion. It consists of a base plate and two chucks, with one chuck fixed and the other rotating due to steel wires connected to the UTM head. Calculations were done to design the attachment's dimensions. Torsion tests on rods showed modulus of rigidity values that matched standard results, demonstrating the feasibility of the attachment for expanding the UTM's testing capabilities.
Identification of dynamic rigidity for high speed spindles supported on ball ...eSAT Journals
Abstract The widespread use of high-speed machining in recent decades has led to a significant area of research on issues that limit its productivity. Regenerative chatter is a well‐known machining problem that results in unstable cutting process, leads to the poor surface quality, reduced material removal rate and damage on the machine tool itself. The main requirement for the stability of system dynamics is the information of tool tip frequency response functions (FRF’s).The present work considered a coupled model of spindle-bearing system by using the angular contact ball bearing forces on stability of machining. Using Timoshenko beam element formulation, the spindle unit is analyzed by including the gyroscopic and centrifugal terms and the bearing contact forces are arrived from Hertzian contact theory. Then, the model is used for studying the effects of viscous damping to obtain the tool point FRF for the dynamic spindle. Index Terms: Spindle dynamics, Stability, High speed effects, Bearing contact forces, Hertzian contact theory, Finite element modeling.
IRJET- Static Analysis of Cutting Tool using Finite Element ApproachIRJET Journal
This document summarizes a study that used finite element analysis to examine the static stress on a single point cutting tool under different tool geometry parameters. A CAD model of the cutting tool and workpiece was created in ANSYS. The tool's total deformation and von Mises stress were calculated for variations in relief angle, back rake angle, and chip formation. The results showed that increasing the relief angle and back rake angle decreased tool stress levels significantly. A positive back rake angle helped move chips away from the workpiece and led to easier material shearing over compression. Continuous chip formation with a positive rake angle also helped maintain tool safety during hard material cutting. In conclusion, a positive rake angle is preferred for machining
The prediction of surface roughness in finish turning of en 19 steelIAEME Publication
This document describes a study that used the Taguchi method to analyze the effects of five turning process parameters (spindle speed, pressurized coolant jet, rake angle, feed rate, and depth of cut) on the surface roughness of EN-19 steel. Experiments were conducted using an L16 orthogonal array with different parameter levels. Analysis of variance showed that spindle speed had the greatest effect on surface roughness, followed by pressurized coolant jet and rake angle. The optimal combination of parameters to minimize surface roughness was determined to be a spindle speed of 1560 rpm, pressurized coolant jet of 0.5 bar, rake angle of 40 degrees, feed rate of 0.16 mm/rev,
Smart Prediction Of Surface Finishing Quality Of En-8 Work Piece By Ann ModelIJERA Editor
Turning is a material removal process a subtractive form of machining which is used to create parts of circular
or rotational form of desired geometry/shape by removing unwanted material. Accuracy of any process depends
on involvement of operational variables. The operating parameters that contribute to turning process are Cutting
speed, Depth of cut, Feed rate. Vibrations, tool life, tool wear, surface finish and cutting forces etc are also in
direct relation with values selected for process parameters. So to improve the efficiency of process and quality
of the product it is necessary to control the process parameters. We have considered surface roughness the
parameters with main focus as it dictates the aesthetics and sometimes ergonomical characteristics of the
product. In this work a neural network is created using feed forward back propagation technique for simulation
of the process using the Matlab Neural network toolbox. So with assurance of accuracy of the predictive
capabilities of the neural network it was then used for optimization.
IRJET-Optimization of Geometrical Parameters of Single Point Cutting Tool to ...IRJET Journal
The document discusses optimizing the geometrical parameters of a single point cutting tool to reduce stress and vibration during turning operations. Modal and harmonic analyses were performed to determine the tool's natural frequency range of 11384Hz to 45322Hz. Optimization found the minimum stress and vibration occurred with a horizontal and vertical cross-sectional dimension of 18.2mm, a back rack angle of 10.88°, side rack angle of 10.88°, end relief angle of 9.06°, end cutting angle of 27.2°, and side cutting edge angle of 13.6°. The optimal parameters can help reduce tool wear and extend the life of single point cutting tools.
STATIC ANALYSIS OF A 6 - AXIS INDUSTRIAL ROBOT USING FINITE ELEMENT ANALYSISIAEME Publication
The present work aims to find out the Deformation, Stresses, Shear Elastic Strainand Strain Energy at different points of an industrial robot to determine it’s the safetyfactor by using Finite Element Method (FEM). Six axis industrial robots are generally
used in industries for various production works such as pick and place and fordifferent operations. So it needs to be properly designed. The model of robot isestablished using the ANSYS software and finite element analysis is done. Different
values of typical gripper loads are applied, and values at different conditions arecompared to find out the weak parts, so further design improvement can be done.
DESIGN MODIFICATION AND ANALYSIS OF FIXTURE TO ACCOMMODATE DIFFERENT STEAM TU...Journal For Research
This document discusses the design modification and analysis of a fixture to accommodate different steam turbine casings. The existing fixture design is modeled and analyzed using finite element analysis, which shows high vibration and stresses. The fixture design is then modified by increasing the number of truss members, adding horizontal support members, and relocating control points. Analysis of the modified design shows reduced stresses, deformation, and vibration compared to the existing design. Specifically, the modified design increases natural frequency by up to 138% while reducing equivalent stress by up to 94% and deformation by up to 94%. In conclusion, the modified universal fixture design improves handling of different steam turbine casings with less vibration and stress.
This document summarizes an experimental study that uses an artificial neural network (ANN) to predict vibrations and cutting forces during turning operations. Experimental tests were conducted under various cutting conditions on an EN-8 workpiece material. Vibrations were measured with an accelerometer and FFT analyzer, and cutting forces were measured with a dynamometer. The experimental data was then used to train an ANN model in Matlab to predict vibrations and forces based on cutting parameters like spindle speed, feed rate, and depth of cut. The goal was to develop an ANN model that could predict vibrations and forces to avoid tool failure and improve process efficiency, quality, and costs.
This document summarizes a study that used artificial neural networks (ANN) and fuzzy logic to predict drill wear. Acoustic emission, vibration velocity, and drill chatter measured via machine vision were used as input parameters. An ANN using backpropagation and a Mamdani fuzzy inference system were developed and compared. When predicting actual tool wear measured with a microscope, the ANN model produced better correlations and is selected for wear prediction under the present work conditions.
Analysis of problems of biomass grinder integrated with briquetting planteSAT Journals
Abstract In briquetting plant, briquettes are produced through small pieces of soybean stalk, pigeon pea straw, lantana stalk, cotton stalk with moisture content below 10%. Biomass grinding machine is an important part of the briquetting plant, whose function is to convert aggregate material in to small pieces. Biomass grinder consists of mainly hammer, grate and shaft. Shaft is an essential component of grinding machine, when holds hammers, pulley and fan. The failures of shaft bearing were observed due to non uniform distribution of stress. The study was under taken to conduct simulation study of shaft for stress analysis with the help of FE software ANSYS 12.0.1. Keywords: Biomass Grinder, FEM, Stress-strain, Stepped Shaft
The document discusses friction welding of copper alloys and optimizing process parameters to minimize flash. It presents the following:
1) Friction welding involves rotating one workpiece at high speed while pressing it against another to generate heat and forge a joint. The document aims to optimize parameters like pressure and time to minimize flash width, height and thickness.
2) An experiment is conducted using a Taguchi orthogonal array to test friction pressure from 10-20 bar, time from 4-6 seconds, upset pressure from 20-30 bar, and upset time from 3-5 seconds.
3) Artificial neural networks and simulated annealing are used to model the process and optimize the parameters to minimize an objective function of
An Investigation on Surface Roughness of A356 Aluminium Alloy in Turning Proc...IRJET Journal
This document describes an investigation into optimizing surface roughness in the turning process of an A356 aluminum alloy rod. The study uses Taguchi methods to design experiments that vary cutting speed, feed rate, and depth of cut as process parameters. Experiments are conducted on a CNC lathe using a carbide tip tool. Surface roughness is measured using a portable profilometer and analyzed using ANOVA to determine the best process conditions for minimizing surface roughness while maximizing productivity. The optimal conditions found will be verified with confirmation tests.
Taguchi method and anova an approach for process parameters 2IAEME Publication
This document presents a study that uses the Taguchi method and ANOVA to optimize the surface roughness of EN 353 steel during wet turning operations. The study examines five process parameters (depth of cut, feed rate, spindle speed, rake angle, and pressurized coolant jet) at two levels each in a 16-run orthogonal array experiment. ANOVA results show that rake angle significantly affects surface roughness. The optimal parameter settings to minimize surface roughness are identified as: depth of cut of 1.0 mm, feed rate of 0.8 mm/rev, spindle speed of 780 rpm, rake angle of 70 degrees, and pressurized coolant jet of 1.0 bar. Confirmation tests validate that these settings
The document discusses the structural analysis and optimization of a steering yoke component in an automobile. Finite element analysis was conducted on the original design using Hyperworks software to determine stresses and displacement under an applied torque load. The analysis found high stresses in some areas. Topology optimization was then used to modify the design by removing unnecessary material. Analysis of the modified design showed lower stresses within the yield strength of the material, indicating an improved and safe design.
Structural analysis of steering yoke of an automobile for withstanding torsio...eSAT Journals
Abstract
The steering columns in a steering system are one of the main devices of an automobile. It is a very important part to attain stability and
steady movement of the vehicle. It consists of two yokes, one on each shaft, connected by a cross-shaped intermediate member i.e.
spider. Motion transmission system of vehicles consist several components which sometimes encounter unfortunate failures. Some
common reasons for the failures may be manufacturing and design faults, maintenance faults, raw material faults, material processing
faults as well as the user originated faults. In this paper finite element analysis of the component is carried out to find the stress and
displacement of the final product. For modeling of the component, CATIA V5 R17 software is used. Preprocessing work like meshing
and analysis work is carried out in HYPERWORKS software. Using FEA analysis, we can identify the nature and characteristics of
stresses acting on the yoke and also evaluate the influence of the loads/ mass/ geometry/ boundary conditions over the yoke.
Keywords: Steering Yoke, Structural analysis, FEA, CATIA V5, Hyper works
Finite Element Based Analysis of Rotating Robot PedestalIRJET Journal
The document describes performing a finite element analysis on the pedestal structure that supports two rotating robots. It outlines creating a CAD model of the pedestal in ANSYS, applying boundary conditions like forces and moments from the robot specifications, and analyzing the structure to determine equivalent stress and total deformation to validate that the design is safe and stable under the expected loads. The analysis found the maximum stress of 216 MPa and deformation of 1.33 mm when applying the worst-case load combinations, and modifications to the bolt size reduced the stress below the allowable limit of 150 MPa.
IRJET- Design and Analysis of an Indexing FixtureIRJET Journal
The document describes the design and analysis of an indexing fixture used to rotate a 6-cylinder truck engine block. The indexing fixture allows the engine block to be rotated through specific angles, improving safety, reducing time, and making the process easier compared to previous manual methods. Key components of the indexing fixture include a base to bear the engine block, left and right indexing plates, shafts, housings, and a motor providing 2.2 kW of power to rotate the fixture. Design calculations determined the maximum torque of 4254 Nm would occur at 90 degrees of rotation. The indexing fixture aims to improve ergonomics, ease of handling, safety, and reduce time compared to previous lifting and rotating of heavy engine blocks.
EFFECTS OF PROCESS PARAMETERS ON CUTTING SPEED IN WIRE-CUT EDM OF 9CRSI TOOL ...IAEME Publication
This article presents a study on the investigation of the effects of the input
parameters on the cutting speed in machining 90CrSi tool steel using wire cut electrical
discharge machining (EDM). In this work, experiments were performed with factorial
design with a total of 32 experimental runs. In addition, the input factors including the
pulse on time, the pulse off time, the cutting voltage, the server voltage, the wire feed
and the feed speed were carefully selected for the investigation. The effects of this
factors on the cutting speed were learned by analysing variance. Moreover, a
regression equation to determine the cutting speed was introduced
Application of Taguchi Experiment Design for Decrease of Cogging Torque in P...ijcsa
GENICHI TAGUCHI developed statistical methods for quality improvement of engineering products,
marketing, etc. This method is called Taguchi method that more recently applied to engineering and
applied science. The Taguchi experiment design method for optimal design to mitigate cogging torque of a
surface permanent magnet (SPM) motor is used in this article. In this paper, an efficient algorithm to the
solutions for shape of PM is proposed and applied to optimize the shape of PMs in a surface-mounted PM
motor to reduce the cogging torque. Finally, Simulation results are presented that indicates the reduction
of magnitude of cogging torque.
Cutting parameter optimization for minimizing machining distortion of thinIAEME Publication
This document discusses an experimental study that uses Taguchi design of experiments to optimize machining parameters for minimizing distortion when machining thin-walled aluminum components. Specifically:
1) A series of machining experiments were conducted using an L16 orthogonal array to examine the effects of speed, feed, depth of cut, width of cut, and tool path on distortion.
2) Analysis of the signal-to-noise ratios and ANOVA revealed that depth of cut has the greatest influence on distortion (55.72%), followed by width of cut (25.31%). Feed has a negligible effect (2.49%).
3) Confirmation experiments using the optimized parameters of low feed, medium-high speed, low
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
The document describes the design and development of an attachment for a universal testing machine (UTM) to enable torsion testing. The attachment allows the UTM to determine the torsional strength and stiffness of materials by applying a twisting motion. It consists of a base plate and two chucks, with one chuck fixed and the other rotating due to steel wires connected to the UTM head. Calculations were done to design the attachment's dimensions. Torsion tests on rods showed modulus of rigidity values that matched standard results, demonstrating the feasibility of the attachment for expanding the UTM's testing capabilities.
Identification of dynamic rigidity for high speed spindles supported on ball ...eSAT Journals
Abstract The widespread use of high-speed machining in recent decades has led to a significant area of research on issues that limit its productivity. Regenerative chatter is a well‐known machining problem that results in unstable cutting process, leads to the poor surface quality, reduced material removal rate and damage on the machine tool itself. The main requirement for the stability of system dynamics is the information of tool tip frequency response functions (FRF’s).The present work considered a coupled model of spindle-bearing system by using the angular contact ball bearing forces on stability of machining. Using Timoshenko beam element formulation, the spindle unit is analyzed by including the gyroscopic and centrifugal terms and the bearing contact forces are arrived from Hertzian contact theory. Then, the model is used for studying the effects of viscous damping to obtain the tool point FRF for the dynamic spindle. Index Terms: Spindle dynamics, Stability, High speed effects, Bearing contact forces, Hertzian contact theory, Finite element modeling.
IRJET- Static Analysis of Cutting Tool using Finite Element ApproachIRJET Journal
This document summarizes a study that used finite element analysis to examine the static stress on a single point cutting tool under different tool geometry parameters. A CAD model of the cutting tool and workpiece was created in ANSYS. The tool's total deformation and von Mises stress were calculated for variations in relief angle, back rake angle, and chip formation. The results showed that increasing the relief angle and back rake angle decreased tool stress levels significantly. A positive back rake angle helped move chips away from the workpiece and led to easier material shearing over compression. Continuous chip formation with a positive rake angle also helped maintain tool safety during hard material cutting. In conclusion, a positive rake angle is preferred for machining
The prediction of surface roughness in finish turning of en 19 steelIAEME Publication
This document describes a study that used the Taguchi method to analyze the effects of five turning process parameters (spindle speed, pressurized coolant jet, rake angle, feed rate, and depth of cut) on the surface roughness of EN-19 steel. Experiments were conducted using an L16 orthogonal array with different parameter levels. Analysis of variance showed that spindle speed had the greatest effect on surface roughness, followed by pressurized coolant jet and rake angle. The optimal combination of parameters to minimize surface roughness was determined to be a spindle speed of 1560 rpm, pressurized coolant jet of 0.5 bar, rake angle of 40 degrees, feed rate of 0.16 mm/rev,
Smart Prediction Of Surface Finishing Quality Of En-8 Work Piece By Ann ModelIJERA Editor
Turning is a material removal process a subtractive form of machining which is used to create parts of circular
or rotational form of desired geometry/shape by removing unwanted material. Accuracy of any process depends
on involvement of operational variables. The operating parameters that contribute to turning process are Cutting
speed, Depth of cut, Feed rate. Vibrations, tool life, tool wear, surface finish and cutting forces etc are also in
direct relation with values selected for process parameters. So to improve the efficiency of process and quality
of the product it is necessary to control the process parameters. We have considered surface roughness the
parameters with main focus as it dictates the aesthetics and sometimes ergonomical characteristics of the
product. In this work a neural network is created using feed forward back propagation technique for simulation
of the process using the Matlab Neural network toolbox. So with assurance of accuracy of the predictive
capabilities of the neural network it was then used for optimization.
IRJET-Optimization of Geometrical Parameters of Single Point Cutting Tool to ...IRJET Journal
The document discusses optimizing the geometrical parameters of a single point cutting tool to reduce stress and vibration during turning operations. Modal and harmonic analyses were performed to determine the tool's natural frequency range of 11384Hz to 45322Hz. Optimization found the minimum stress and vibration occurred with a horizontal and vertical cross-sectional dimension of 18.2mm, a back rack angle of 10.88°, side rack angle of 10.88°, end relief angle of 9.06°, end cutting angle of 27.2°, and side cutting edge angle of 13.6°. The optimal parameters can help reduce tool wear and extend the life of single point cutting tools.
STATIC ANALYSIS OF A 6 - AXIS INDUSTRIAL ROBOT USING FINITE ELEMENT ANALYSISIAEME Publication
The present work aims to find out the Deformation, Stresses, Shear Elastic Strainand Strain Energy at different points of an industrial robot to determine it’s the safetyfactor by using Finite Element Method (FEM). Six axis industrial robots are generally
used in industries for various production works such as pick and place and fordifferent operations. So it needs to be properly designed. The model of robot isestablished using the ANSYS software and finite element analysis is done. Different
values of typical gripper loads are applied, and values at different conditions arecompared to find out the weak parts, so further design improvement can be done.
DESIGN MODIFICATION AND ANALYSIS OF FIXTURE TO ACCOMMODATE DIFFERENT STEAM TU...Journal For Research
This document discusses the design modification and analysis of a fixture to accommodate different steam turbine casings. The existing fixture design is modeled and analyzed using finite element analysis, which shows high vibration and stresses. The fixture design is then modified by increasing the number of truss members, adding horizontal support members, and relocating control points. Analysis of the modified design shows reduced stresses, deformation, and vibration compared to the existing design. Specifically, the modified design increases natural frequency by up to 138% while reducing equivalent stress by up to 94% and deformation by up to 94%. In conclusion, the modified universal fixture design improves handling of different steam turbine casings with less vibration and stress.
This document summarizes an experimental study that uses an artificial neural network (ANN) to predict vibrations and cutting forces during turning operations. Experimental tests were conducted under various cutting conditions on an EN-8 workpiece material. Vibrations were measured with an accelerometer and FFT analyzer, and cutting forces were measured with a dynamometer. The experimental data was then used to train an ANN model in Matlab to predict vibrations and forces based on cutting parameters like spindle speed, feed rate, and depth of cut. The goal was to develop an ANN model that could predict vibrations and forces to avoid tool failure and improve process efficiency, quality, and costs.
This document summarizes a study that used artificial neural networks (ANN) and fuzzy logic to predict drill wear. Acoustic emission, vibration velocity, and drill chatter measured via machine vision were used as input parameters. An ANN using backpropagation and a Mamdani fuzzy inference system were developed and compared. When predicting actual tool wear measured with a microscope, the ANN model produced better correlations and is selected for wear prediction under the present work conditions.
ANALYSIS AND MODELING OF SINGLE POINT CUTTING (HSS MATERIAL) TOOL WITH HELP O...IAEME Publication
The purpose of this article is to study the change of vibration on lathe machine by the change of tool material. Industrial vibration on analysis is a measurement tool used to identify, predict and prevent failure in any rotating machinery. By the vibration analysis on any mechanical component will improve the reliability of machine and lead to better machine efficiency and reduce down time for eliminating electrical and mechanical failure.
This document summarizes a study that used Taguchi experimental design to optimize process parameters for friction stir welding of aluminum alloy 6063. Experiments varied tool rotational speed, welding speed, and axial force. Tensile testing found the highest strength (92 MPa) at a rotational speed of 1400 rpm, welding speed of 1.2 mm/sec, and axial force of 7 KN. Welding speed had the greatest influence on strength. Analysis of variance identified statistically significant parameters affecting strength. The optimal parameters achieved a joint efficiency of 70%.
MULTI OBJECTIVE OPTIMIZATION OF CUTTING PARAMETERS IN TURNING OPERATION OF ST...IAEME Publication
Turning is a machining operation in which the cutting tool moves linearly while the work piece rotates to remove material. Turning is one the most important machining operation in
industries. The process of turning is influenced by many factors such as the cutting velocity, feed rate, depth of cut, geometry of cutting tool cutting conditions etc.
EFFECT OF VIBRATION ON MICRO-ELECTRO-DISCHARGE MACHINING IAEME Publication
The Principal objective of the research work is decided to carryout Response Surface Methodology (RSM) based investigations into the effect of Voltage, Capacitance and work piece vibration Frequency, amplitude on different materials. The RSM based mathematical models of Material Removal Rate (MRR) and Tool Wear Rate (TWR) have been developed using the data obtained through Central Composite Design (CCD). The Analysis of Variance (ANOVA) was performed along with Fisher’s statistical test (F-test) to verify the lack-of-fit and adequacy of the developed mathematical models for the desired confidence interval. The ANOVA table includes sum
of squares (SS), degrees of freedom (DF) and mean square (MS). In ANOVA, the contributions for SS is from the first order terms (linear), the second order terms (square), the interaction terms, lack of fit and the residual error.
Application of taguchi method and anova in optimization of cuttingIAEME Publication
The document describes a study that used Taguchi methods and analysis of variance (ANOVA) to optimize cutting parameters for material removal rate (MRR) and surface roughness during turning of mild steel. Experiments were conducted varying spindle speed, depth of cut, and feed rate as cutting parameters. ANOVA results showed that spindle speed had the greatest influence on MRR, while feed rate most significantly impacted surface roughness. Taguchi analysis indicated spindle speed provided the largest variation in MRR and feed rate produced the greatest variation in surface roughness. The optimal cutting parameters for maximum MRR and minimum surface roughness were determined.
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.
This document summarizes a study on optimizing electric discharge machining (EDM) parameters to maximize material removal rate (MRR) and minimize electrode wear rate (EWR) when machining stainless steel 316 with a copper electrode. Experiments were conducted using a Taguchi design of experiments with four machining parameters (pulse on time, pulse off time, current, fluid pressure) each at three levels. Results showed that pulse off time and current had the most significant effects on MRR and EWR, respectively. Specifically, MRR increased with longer pulse off times while EWR decreased at higher currents. The optimal settings found were a current of 12 amps and long pulse off time to achieve maximum MRR during EDM of
IRJET- ANN Modeling for Prediction of Cutting Force Component during Orthogon...IRJET Journal
This document describes research using an artificial neural network model to predict cutting force during orthogonal turning. The researchers developed a MATLAB interface to estimate the effects of cutting parameters like speed, feed rate, and depth of cut on cutting force. They conducted turning experiments on mild steel and measured cutting forces. This experimental data was used to train an ANN model with cutting parameters as inputs and measured cutting forces as outputs. The trained ANN model could then predict cutting forces based on given cutting parameter values, providing a way to estimate experimental results without additional physical tests. Evaluation showed the ANN model provided precise predictions of how cutting parameters influence cutting force.
Investigation of turning process to improve productivity mrr for better sur...IAEME Publication
This document summarizes a study that investigated turning parameters to improve productivity (material removal rate or MRR) while achieving better surface finish when machining an aluminum alloy (Al-7075-T6). Taguchi methodology was used to optimize cutting speed, feed rate, and depth of cut. The analysis found that feed rate most significantly influenced surface roughness, while cutting speed most significantly affected MRR. The optimal parameters for high MRR with good surface finish were determined to be a cutting speed of 15.102 m/min, feed rate of 0.3207 mm/rev, and depth of cut of 0.5 mm.
IRJET- Parametric Study of CNC Turning Process Parameters for Surface Roughne...IRJET Journal
The document presents a study analyzing the effect of machining parameters on surface roughness in CNC turning processes. Experiments were conducted varying speed, feed rate, and depth of cut using stainless steel 304. Surface roughness values were measured and analyzed using analysis of variance, artificial neural networks, and genetic algorithms. The optimal machining parameters were determined that minimized surface roughness. Specifically, 27 experiments were conducted using a full factorial design, and surface roughness values were measured. The data was then analyzed using ANOVA, ANN, and GA models to understand the relationship between inputs and surface roughness, and identify the best settings.
ANALYSIS OF TOOL WEAR IN MILLING USING MACHINE LEARNING TECHNIQUEIRJET Journal
This document describes a study that uses machine learning to analyze tool wear in milling operations. Specifically, it uses logistic regression on a dataset of tool vibration readings during milling under different tool conditions (new, medium wear, blunt). Vibration data including acceleration and frequency is collected using an FFT analyzer during milling tests. A dataset with over 7,000 data points across three conditions is created. Logistic regression is applied to classify the tool condition based on the vibration features, achieving 99.1% accuracy on the test data. The authors aim to implement this algorithm on industrial milling machines to accurately predict tool wear in real-time.
The document describes an experiment to optimize electrode wear rate (EWR) during electrical discharge machining (EDM) of AISI 304 stainless steel. The experiment uses a 2-level factorial design to examine the effects of 4 factors - electrode shape, pulse current, pulse on time, and pulse off time - on EWR. Experiments were conducted according to the design and EWR was measured. The results were analyzed using response tables, graphs, normal probability plots, and ANOVA to identify significant factors and interactions affecting EWR. Electrode shape, pulse current, pulse on time, and pulse off time were found to significantly affect EWR, as did several 2-factor interactions between the parameters.
AISI 304 stainless steel have a wide range of applications in the industrial field. The need for
machining AISI 304 SS has not been eliminated fully. The electrode wear rate (EWR) is an
important aspect during electrical discharge machining (EDM). In this investigation an attempt has
been made to assess the factors influencing electrode wear rate on the machining of AISI 304 SS.
Design of experiments (full factorial design) concept has been used for experimentation. The
machining experiments were conducted on a die sinking EDM machine using two levels of factors.
The factors considered were electrode shape, pulse current, pulse on time and pulse off time. A
procedure has been developed to assess and optimize the chosen factors to attain minimum electrode
wear rate by incorporating: (i) response table and response graph; (ii) normal probability plot; (iii)
interaction graphs; (iv) analysis of variance (ANOVA) technique. The results indicated that
electrode shape is a factor, which has greater influence on EWR, followed by pulse off time. Also the
determined optimal conditions really reduce the EWR on the machining of AISI 304 SS within the
ranges of parameters studied.
A STUDY OF THE EFFECTS OF MACHINING PARAMETERS ON SURFACE ROUGHNESS USING RES...IAEME Publication
This document summarizes a study that investigated the effects of machining parameters on surface roughness in end milling of EN11 alloy steel. Experiments were conducted using an L18 orthogonal array to test combinations of depth of cut, feed rate, spindle speed, and coolant. Surface roughness was measured for each test and analyzed using response surface methodology. The results showed that machining parameters significantly affected surface roughness and statistical models could be developed to optimize the parameters to achieve a desired surface finish.
The document describes an experimental study on the effect of vibration on micro-electro-discharge machining (μEDM). Response surface methodology was used to develop mathematical models for material removal rate and tool wear rate based on experiments using a central composite design. Analysis of variance was performed to verify the models. The results show that applying vibration to the workpiece during μEDM can impact process performance characteristics like material removal rate and tool wear rate. The developed models can be used to determine optimal input parameter values for the μEDM drilling process.
The entire research work is experiment oriented and the conclusions are drawn based on
graphical analysis of experimental results. The research work carried out reveals that the findings are
encouraging in establishing the effect of Voltage, Capacitance and work piece vibration Frequency,
amplitude on different materials µEDM drilling process performance characteristics. The results of
this investigations can be adopted in deciding the optimal values of input process parameters µEDM
drilling process
The document describes an experimental study that uses response surface methodology to develop mathematical models for material removal rate (MRR) and tool wear rate (TWR) in micro-electro-discharge machining (μEDM) as functions of voltage, capacitance, and workpiece vibration frequency and amplitude. Central composite design was used to generate experimental data, and analysis of variance was performed to verify the adequacy of the developed models within a given confidence interval. The results provide information on optimizing input process parameters for μEDM drilling.
OPTIMIZATION OF ELECTRODE WEAR RATE ON ELECTRICAL DISCHARGE MACHINING AISI 30...IAEME Publication
AISI 304 stainless steel have a wide range of applications in the industrial field. The need for machining AISI 304 SS has not been eliminated fully. The electrode wear rate (EWR) is an
important aspect during electrical discharge machining (EDM). In this investigation an attempt has been made to assess the factors influencing electrode wear rate on the machining of AISI 304 SS. Design of experiments (full factorial design) concept has been used for experimentation. The machining experiments were conducted on a die sinking EDM machine using two levels of factors.
Similar to PREDICTION OF VIBRATIONS, CUTTING FORCE OF SINGLE POINT CUTTING TOOL BY USING ARTIFICIAL NEURAL NETWORK IN TURNING (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.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Design and optimization of ion propulsion dronebjmsejournal
Electric propulsion technology is widely used in many kinds of vehicles in recent years, and aircrafts are no exception. Technically, UAVs are electrically propelled but tend to produce a significant amount of noise and vibrations. Ion propulsion technology for drones is a potential solution to this problem. Ion propulsion technology is proven to be feasible in the earth’s atmosphere. The study presented in this article shows the design of EHD thrusters and power supply for ion propulsion drones along with performance optimization of high-voltage power supply for endurance in earth’s atmosphere.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Software Engineering and Project Management - Software Testing + Agile Method...Prakhyath Rai
Software Testing: A Strategic Approach to Software Testing, Strategic Issues, Test Strategies for Conventional Software, Test Strategies for Object -Oriented Software, Validation Testing, System Testing, The Art of Debugging.
Agile Methodology: Before Agile – Waterfall, Agile Development.
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.