In this paper effect of process parameter on mechanical properties of friction stir welded aluminum alloy joints using
factorial design is calculated. In experimentation, Two Level of Factorial Design is found to be a more effective tool to
investigate the interaction effects of parameters on the required response. Various models have been proposed in this context
out of that 95% are at an adequate confidence level. In an analysis of stir welding, tensile strength is found to get an increase
with a decrease in rotational speed of tool while decreases with increase in the welding speed.At the low rotational speed of tool
high welding speed, there is a small increasing response to Tensile Strength. But at high rpm, and high welding speed, there is
a significant increase in Tensile Strength. At a low value of welding speed and high rotational speed, there is a sharp decrease
in Tensile Strength. At high welding speed, an increase in rpm, there is a little decrease in Tensile Strength. Prediction of the
Tensile Strength at any combination of the two parameters welding speed and rotational speed can be done. With increase
shoulder diameter, there is a decrease in Impact Strength. Impact Strength increases with the increase in tool rotational speed.
IRJET-Experimental Study on Spring Back Phenomenon in Sheet Metal V- Die BendingIRJET Journal
This document presents an experimental study on the spring back phenomenon in sheet metal V-die bending. The study investigates how factors like angle, sheet thickness, and varying width cross-section affect the amount of spring back that occurs in CRC-D steel sheets. Experiments were conducted using a design of experiments approach based on response surface methodology. 20 bending experiments were performed according to the experimental design matrix. The results show that spring back decreases with increasing angle and first increases then decreases with increasing thickness. Spring back also increases linearly with increasing width. A regression model was developed to predict spring back based on the experimental results.
Experimental and Fe Analysis of Eccentric Loaded Welded Joint StructureIJERA Editor
Arc welded structures are widely used in automobiles, constructions & power plants. As the main cause of weldment failure is design defect & overload, hence it is necessary to analyze the maximum stresses in the weldment. In this project experimentation is carried out on symmetrical and unsymmetrical eccentric loaded welded joint to determine the breaking stress in the weldment. The FE analysis & analytical estimation of breaking stress is also carried out to verify the experimental results. The stress distribution along weld size & throat thickness is evaluated and also compared with reported findings under same loading condition. Further eccentric loaded welded joint is analyzed under eccentric load by varying the gap between parent plates.
This document summarizes a study on the tensile behavior of aluminum plates welded using friction stir welding. Various welding parameters like rotational speed, welding speed, and pin diameter were experimented with to weld an aluminum alloy. Mathematical models were developed using a statistical design of experiments approach to understand the effects of the parameters on tensile strength. It was found that tensile strength decreases with increasing rotational speed, increases with increasing welding speed, and decreases with increasing pin diameter. The maximum tensile strength was achieved at low rotational speed and high welding speed. Regression models for tensile strength were developed and validated to be adequate predictors within 95% confidence level.
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
An Experimental Analysis and Optimization of Process Parameters on Friction S...IRJET Journal
This document summarizes an experimental study that used Taguchi methods to optimize process parameters for friction stir welding of dissimilar aluminum alloys AA6061-T6 and AA6951-T6. The researchers conducted experiments using a Taguchi L9 orthogonal array to examine the effects of rotational speed, welding speed, and tool tilt angle on the tensile strength of the welded joints. Analysis of variance and signal-to-noise ratios were used to analyze the results and identify the optimal levels for each parameter to maximize tensile strength. The researchers found that rotational speed had the greatest influence on tensile strength, followed by welding speed, with tool tilt angle having the smallest effect.
Optimising drilling parameters of gfrp by using grey relational analysiseSAT Publishing House
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.
Optimization of resistance spot welding process parameters of AISI 304l and A...IRJET Journal
This document summarizes research that optimized resistance spot welding process parameters for joining AISI 304L stainless steel and AISI 1020 carbon steel. The researchers investigated the effects of welding current, pressure, weld time, and hold time on tensile strength and nugget diameter using Taguchi methods. Analysis of variance found that welding current had the strongest influence on response variables. Optimization revealed that maximum tensile strength and minimum nugget diameter were achieved with a current of 10kA, pressure of 4 bars, weld time of 10 cycles, and hold time of 25 cycles. In conclusion, welding current was the most significant factor affecting joint quality.
Study of mechanical properties in mild steel using metal inert gas weldingeSAT Publishing House
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
IRJET-Experimental Study on Spring Back Phenomenon in Sheet Metal V- Die BendingIRJET Journal
This document presents an experimental study on the spring back phenomenon in sheet metal V-die bending. The study investigates how factors like angle, sheet thickness, and varying width cross-section affect the amount of spring back that occurs in CRC-D steel sheets. Experiments were conducted using a design of experiments approach based on response surface methodology. 20 bending experiments were performed according to the experimental design matrix. The results show that spring back decreases with increasing angle and first increases then decreases with increasing thickness. Spring back also increases linearly with increasing width. A regression model was developed to predict spring back based on the experimental results.
Experimental and Fe Analysis of Eccentric Loaded Welded Joint StructureIJERA Editor
Arc welded structures are widely used in automobiles, constructions & power plants. As the main cause of weldment failure is design defect & overload, hence it is necessary to analyze the maximum stresses in the weldment. In this project experimentation is carried out on symmetrical and unsymmetrical eccentric loaded welded joint to determine the breaking stress in the weldment. The FE analysis & analytical estimation of breaking stress is also carried out to verify the experimental results. The stress distribution along weld size & throat thickness is evaluated and also compared with reported findings under same loading condition. Further eccentric loaded welded joint is analyzed under eccentric load by varying the gap between parent plates.
This document summarizes a study on the tensile behavior of aluminum plates welded using friction stir welding. Various welding parameters like rotational speed, welding speed, and pin diameter were experimented with to weld an aluminum alloy. Mathematical models were developed using a statistical design of experiments approach to understand the effects of the parameters on tensile strength. It was found that tensile strength decreases with increasing rotational speed, increases with increasing welding speed, and decreases with increasing pin diameter. The maximum tensile strength was achieved at low rotational speed and high welding speed. Regression models for tensile strength were developed and validated to be adequate predictors within 95% confidence level.
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
An Experimental Analysis and Optimization of Process Parameters on Friction S...IRJET Journal
This document summarizes an experimental study that used Taguchi methods to optimize process parameters for friction stir welding of dissimilar aluminum alloys AA6061-T6 and AA6951-T6. The researchers conducted experiments using a Taguchi L9 orthogonal array to examine the effects of rotational speed, welding speed, and tool tilt angle on the tensile strength of the welded joints. Analysis of variance and signal-to-noise ratios were used to analyze the results and identify the optimal levels for each parameter to maximize tensile strength. The researchers found that rotational speed had the greatest influence on tensile strength, followed by welding speed, with tool tilt angle having the smallest effect.
Optimising drilling parameters of gfrp by using grey relational analysiseSAT Publishing House
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.
Optimization of resistance spot welding process parameters of AISI 304l and A...IRJET Journal
This document summarizes research that optimized resistance spot welding process parameters for joining AISI 304L stainless steel and AISI 1020 carbon steel. The researchers investigated the effects of welding current, pressure, weld time, and hold time on tensile strength and nugget diameter using Taguchi methods. Analysis of variance found that welding current had the strongest influence on response variables. Optimization revealed that maximum tensile strength and minimum nugget diameter were achieved with a current of 10kA, pressure of 4 bars, weld time of 10 cycles, and hold time of 25 cycles. In conclusion, welding current was the most significant factor affecting joint quality.
Study of mechanical properties in mild steel using metal inert gas weldingeSAT Publishing House
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
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
Optimizing the process parameters of friction stir butt welded joint on alumi...eSAT Journals
1) The document discusses optimizing the process parameters of friction stir butt welding on an aluminum alloy AA6061-T6. Experiments were conducted using an L9 orthogonal Taguchi array to evaluate the effects of tool rotational speed, welding feed rate, and pin diameter on tensile strength, hardness, and ductility.
2) Analysis of the signal-to-noise ratios showed that pin diameter was the most influential factor for tensile strength, while tool traverse feed had the greatest effect on hardness. The optimal parameters for maximum tensile strength were a rotational speed of 1400 rpm, feed rate of 40 mm/min, and pin diameter of 6 mm.
3) For hardness, the optimal parameters were a
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
The document summarizes an experimental study that used Response Surface Methodology (RSM) to develop a model for predicting weld strength in CO2 arc welding of AISI 1022 steel plates. The study investigated how welding current, voltage, wire feed rate, and gas pressure affect weld strength. Central composite design was used to test various parameter combinations in 31 experimental runs. Regression analysis found that current, voltage, wire feed rate, and gas pressure significantly affect weld strength in linear terms. An RSM model was developed to predict weld strength as a function of the parameters. The model fits the experimental data with 98.8% accuracy.
Optimizing the process parameters of friction stir butt welded joint on alumi...eSAT Publishing House
1) The document discusses optimizing the process parameters of friction stir butt welding on aluminum alloy AA6061-T6. Experiments were conducted using an L9 orthogonal Taguchi design to evaluate the effects of tool rotational speed, welding feed rate, and pin diameter on tensile strength, hardness, and ductility.
2) Tensile strength, hardness, and elongation measurements were made on the welded joints produced under each experimental condition. Signal-to-noise ratios were calculated from the data to analyze the effects of the parameters on the properties.
3) Statistical analysis using Minitab found that tool rotational speed had the greatest influence on tensile strength and hardness, while pin diameter most influenced ductility.
ANALYTICAL AND EXPERIMENTAL EVALUATION OF SPRING BACK EFFECTS IN A TYPICAL ...IAEME Publication
Prediction of spring back for forming of a typical shape of Cold Rolled steel sheet has been carried out using FEM. The objective of this work is to predict the spring back in the form of a typical shape of cold rolled steel sheet and compare that with the actual spring back as occurs in experiment. A typical shape is designed using AutoCAD and Solidworks. Die and punch to form the shape has been designed using 2d and 3d modelling tools. The Finite element simulation is done considering the material and geometric nonlinearity. Non-linear material properties are obtained from the tensile testing of the standard test specimen made from the same material and of same thickness. Geometric nonlinearity is considered by selecting appropriate option in the FEM package.
Investigations on the surface roughness produced in turning of al6061 (as cas...eSAT Journals
Abstract: Surface roughness produced on the machined component is one of the key attribute of machining process. In this work the effect of various turning process parameters on surface roughness produced on Al6061 (as cast condition) is investigated. Also the effect of using coolant on surface roughness while turning is also determined. It is observed increase in cutting speed by 39.29% resulted in decrease of surface roughness by 31.44%. Increase in feed rate and depth of cut leads to increase in surface roughness. Quantitative analysis of surface roughness obtained in machining with coolant and without coolant is also presented. Keywords: Al6061, Surface Roughness, Turning Process, Spindle Speed, Depth of Cut, ANOVA
IRJET- Tensile and Shear Strength Approximate Prediction of Friction Surf...IRJET Journal
This document discusses using artificial neural networks (ANN) to predict the tensile and shear strength of tool steel coatings deposited through friction surfacing. Friction surfacing is used to deposit coatings on materials and has various industrial applications. An experiment was conducted to deposit tool steel coatings on low carbon steel using different levels of friction pressure, rotational speed, and welding speed. Tensile and shear strength tests were performed on the coatings. ANN models using a feedforward neural network (FFNN) structure were developed and trained on the experimental data to predict coating tensile and shear strength based on the friction surfacing process parameters. The ANN models provide a way to understand and optimize the relationship between mechanical properties and processing
This document summarizes an experimental study on optimizing surface roughness and material removal rate during turning of AISI D2 steel. 27 experiments were conducted using a full factorial design varying cutting speed, feed rate, and depth of cut. Cutting speed had the greatest effect on surface roughness, while feed rate and depth of cut most influenced material removal rate. Analysis of variance found cutting speed contributed 79.8% to surface roughness. Grey relational analysis identified the optimal condition for low surface roughness as low feed rate, low depth of cut, and high cutting speed.
Determination of Significant Process Parameter in Metal Inert Gas Welding of ...IJERA Editor
The aim of present study is to determine the most significant input parameter such as welding current, arc
voltage and root gap during the Metal Inert Gas Welding (MIG) of Mild Steel 1018 grade by Analysis of
Variance (ANOVA). The hardness and tensile strength of weld specimen are investigated in this study. The
selected three input parameters were varied at three levels. On the analogy, nine experiments were performed
based on L9 orthogonal array of Taguchi’s methodology, which consist three input parameters. Root gap has
greatest effect on tensile strength followed by welding current and arc voltage. Arc voltage has greatest effect on
hardness followed by root gap and welding current. Weld metal consists of fine grains of ferrite and pearlite.
Thickness optimization of thick walled circular cylinder by heat treatmentIRJET Journal
1. The document analyzes the thickness optimization of thick walled circular cylinders through heat treatment. It determines the maximum internal pressure capacities of untreated and heat treated cylinders using analytical calculations and finite element analysis in ANSYS.
2. The untreated cylinder can sustain a maximum internal pressure of 80MPa. The heat treated cylinder's maximum pressure capacity is improved to 110MPa. Further reducing the heat treated cylinder's thickness by 5mm reduces its maximum pressure to 90MPa.
3. Modal analysis of the reduced thickness heat treated cylinder shows natural frequencies from analytical calculations agree with ANSYS results within 3%. Its working frequencies from 21.5-45.7Hz avoid resonance conditions.
Finite element modeling and bending stress analysis of non standard spur geareSAT Journals
Abstract Gears are toothed wheels, transmitting power and motion from one shaft to another by means of successive engagement of teeth. Having a higher degree of reliability, compactness, high velocity ratio and finally able to transmit motion at a very low velocity, gears are gaining importance as the most efficient means for transmitting power. A gearing system is susceptible to problems such as interference, backlash and undercut. The contact portions of tooth profiles that are not conjugate is called interference. Furthermore due to interference and in the absence of undercut, the involute tip or face of the driven gear tends to dig out the non-involute flank of the driver. The response of a spur gear and its wear is an engineering problem that has not been completely overcome yet. With the perspective of overcoming such defects and for increase the efficiency of gearing system, the use of a non-standard spur gear i.e., an asymmetric spur gear having different pressure angles for drive and coast side of the tooth comes into picture. This paper emphasis on the generation of an asymmetric spur gear tooth using modeling software and bending stress at the root of Asymmetric spur gear tooth is estimated by finite element analysis using ANSYS software and results were compared with the standard spur gear tooth. Keywords: Asymmetric spur gear, Bending stress, Finite element method, Pressure angle
IRJET- Pushover Analysis of Vertically Regular and Irregular Steel StructureIRJET Journal
The document summarizes a study that performed pushover analysis on regular and irregular steel structures using ETABS 2016 software. Three 9-story buildings were modeled - one regular structure and two with irregularities (mass and stiffness irregularities). Pushover analysis was conducted and results like story displacement and shear were compared. The analysis found that due to mass and stiffness irregularities, story shear and displacement values increased compared to the regular structure. Therefore, vertical irregularities can negatively impact a structure's seismic performance.
A REVIEW ON OPTIMIZATION OF RESISTANCE SPOT WELDING OF ALUMINUM COMPONENTS US...AM Publications
Resistance Spot welding (RSW) is one of the common welding processes used for sheet joining especially in the automobile and aerospace industry. It is used in a wide range of industries but notably for the assembly of sheet steel vehicle bodies. This is a type of resistance welding where the spot welds are made at regular intervals on overlapping sheets of metal. Spot welding is primarily used for joining parts that are normally up to 3 mm in thickness. The joint quality can be defined in terms of properties such as weld-bead geometry, mechanical properties and distortion.The objective of the research is to determine the optimum combination of parameters responsible for better quality of joints. The complicated behavior of the process must be analyzed to set the optimum parameters to get the optimum weld quality. The paper also presents the FEA simulation of the RSW process.
Prediction of surface roughness in high speed machining a comparisoneSAT Publishing House
This document compares three techniques for predicting surface roughness (Ra) in high speed machining operations: Response Surface Methodology (RSM), Artificial Neural Network (ANN), and Adaptive Neuro-Fuzzy Inference System (ANFIS). Experiments were conducted using different cutting speeds and feeds to measure surface roughness and tool vibrations. RSM, ANN, and ANFIS models were developed using the experimental data to predict surface roughness based on the input parameters of cutting speed, feed rate, and vibration. The predicted values from each technique were compared to the actual experimental values and to each other to determine which technique most accurately modeled and predicted surface roughness.
Multi-Objective Optimization ( Surface Roughness & Material Removal Rate) of ...IJERA Editor
The present study applied Taguchi method through a case study in straight turning of AISI 202 stainless steel bar on CNC Machine ( Mfd by ACE DESIGNERS) using Titanium Carbide tool for the optimization of Material removal rate, Surface Roughness and tool wear process parameter.The study aimed at evaluating the best process environment which could simultaneously satisfy requirements of both quality as well as productivity with special emphasis on maximizing material removal rate and minimizing surface roughness and tool flank wear at various combination of cutting speed, feed, depth of cut. The predicted optimal setting ensured maximum MRR and minimum surface roughness and tool wear. Since optimum material removal rate is desired, so higher the better criteria of Taguchi signal to noise ratio is used for MRR – SNs = -10 log(Sy2/n) For surface roughness and tool wear – SNL = -10 log(S(1/y2)/n) The results have been verified with the help of S/N Ratios calculation and various graphs have been plotted to show the below mentioned observations.
a) MRR first increases with increase in cutting speed and then decreases.
b) With the increase in feed, MRR increases.
c) With the increase in depth of cut, MRR first increases and then decreases.
d) With the increase in cutting speed, Surface Roughness first decreases and then increases.
e) With the increase in feed, Surface Roughness increases.
f) With the increase in depth of cut, Surface Roughness first increases and then decreases.
IRJET- A Review on: Parametric Study for Optimization of CNC Turning Process ...IRJET Journal
This document reviews research on optimizing CNC turning process parameters to minimize surface roughness. It summarizes 10 research papers that studied the effects of cutting speed, feed rate, depth of cut, cutting tool type, and cooling conditions on surface roughness when turning various materials like steel, aluminum, and titanium. The document finds that feed rate typically has the largest effect on surface roughness, followed by cutting speed, while depth of cut has a smaller impact. It recommends using techniques like Taguchi methods, response surface methodology, and ANOVA to determine the optimal process parameters that achieve the minimum possible surface roughness.
TENSILE BEHAVIOUR OF ALUMINIUM PLATES (5083) WELDED BY FRICTION STIR WELDING IAEME Publication
Using arc welding, gas welding and other welding process, it is very difficult to weld the aluminum alloys. Friction stir welding, on the other hand, can be used to join most Al alloys and
better surface finishing is achieved. Although the work piece does heat up during friction stir weld, the temperature does not reach the melting point.
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%.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
Optimizing the process parameters of friction stir butt welded joint on alumi...eSAT Journals
1) The document discusses optimizing the process parameters of friction stir butt welding on an aluminum alloy AA6061-T6. Experiments were conducted using an L9 orthogonal Taguchi array to evaluate the effects of tool rotational speed, welding feed rate, and pin diameter on tensile strength, hardness, and ductility.
2) Analysis of the signal-to-noise ratios showed that pin diameter was the most influential factor for tensile strength, while tool traverse feed had the greatest effect on hardness. The optimal parameters for maximum tensile strength were a rotational speed of 1400 rpm, feed rate of 40 mm/min, and pin diameter of 6 mm.
3) For hardness, the optimal parameters were a
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
The document summarizes an experimental study that used Response Surface Methodology (RSM) to develop a model for predicting weld strength in CO2 arc welding of AISI 1022 steel plates. The study investigated how welding current, voltage, wire feed rate, and gas pressure affect weld strength. Central composite design was used to test various parameter combinations in 31 experimental runs. Regression analysis found that current, voltage, wire feed rate, and gas pressure significantly affect weld strength in linear terms. An RSM model was developed to predict weld strength as a function of the parameters. The model fits the experimental data with 98.8% accuracy.
Optimizing the process parameters of friction stir butt welded joint on alumi...eSAT Publishing House
1) The document discusses optimizing the process parameters of friction stir butt welding on aluminum alloy AA6061-T6. Experiments were conducted using an L9 orthogonal Taguchi design to evaluate the effects of tool rotational speed, welding feed rate, and pin diameter on tensile strength, hardness, and ductility.
2) Tensile strength, hardness, and elongation measurements were made on the welded joints produced under each experimental condition. Signal-to-noise ratios were calculated from the data to analyze the effects of the parameters on the properties.
3) Statistical analysis using Minitab found that tool rotational speed had the greatest influence on tensile strength and hardness, while pin diameter most influenced ductility.
ANALYTICAL AND EXPERIMENTAL EVALUATION OF SPRING BACK EFFECTS IN A TYPICAL ...IAEME Publication
Prediction of spring back for forming of a typical shape of Cold Rolled steel sheet has been carried out using FEM. The objective of this work is to predict the spring back in the form of a typical shape of cold rolled steel sheet and compare that with the actual spring back as occurs in experiment. A typical shape is designed using AutoCAD and Solidworks. Die and punch to form the shape has been designed using 2d and 3d modelling tools. The Finite element simulation is done considering the material and geometric nonlinearity. Non-linear material properties are obtained from the tensile testing of the standard test specimen made from the same material and of same thickness. Geometric nonlinearity is considered by selecting appropriate option in the FEM package.
Investigations on the surface roughness produced in turning of al6061 (as cas...eSAT Journals
Abstract: Surface roughness produced on the machined component is one of the key attribute of machining process. In this work the effect of various turning process parameters on surface roughness produced on Al6061 (as cast condition) is investigated. Also the effect of using coolant on surface roughness while turning is also determined. It is observed increase in cutting speed by 39.29% resulted in decrease of surface roughness by 31.44%. Increase in feed rate and depth of cut leads to increase in surface roughness. Quantitative analysis of surface roughness obtained in machining with coolant and without coolant is also presented. Keywords: Al6061, Surface Roughness, Turning Process, Spindle Speed, Depth of Cut, ANOVA
IRJET- Tensile and Shear Strength Approximate Prediction of Friction Surf...IRJET Journal
This document discusses using artificial neural networks (ANN) to predict the tensile and shear strength of tool steel coatings deposited through friction surfacing. Friction surfacing is used to deposit coatings on materials and has various industrial applications. An experiment was conducted to deposit tool steel coatings on low carbon steel using different levels of friction pressure, rotational speed, and welding speed. Tensile and shear strength tests were performed on the coatings. ANN models using a feedforward neural network (FFNN) structure were developed and trained on the experimental data to predict coating tensile and shear strength based on the friction surfacing process parameters. The ANN models provide a way to understand and optimize the relationship between mechanical properties and processing
This document summarizes an experimental study on optimizing surface roughness and material removal rate during turning of AISI D2 steel. 27 experiments were conducted using a full factorial design varying cutting speed, feed rate, and depth of cut. Cutting speed had the greatest effect on surface roughness, while feed rate and depth of cut most influenced material removal rate. Analysis of variance found cutting speed contributed 79.8% to surface roughness. Grey relational analysis identified the optimal condition for low surface roughness as low feed rate, low depth of cut, and high cutting speed.
Determination of Significant Process Parameter in Metal Inert Gas Welding of ...IJERA Editor
The aim of present study is to determine the most significant input parameter such as welding current, arc
voltage and root gap during the Metal Inert Gas Welding (MIG) of Mild Steel 1018 grade by Analysis of
Variance (ANOVA). The hardness and tensile strength of weld specimen are investigated in this study. The
selected three input parameters were varied at three levels. On the analogy, nine experiments were performed
based on L9 orthogonal array of Taguchi’s methodology, which consist three input parameters. Root gap has
greatest effect on tensile strength followed by welding current and arc voltage. Arc voltage has greatest effect on
hardness followed by root gap and welding current. Weld metal consists of fine grains of ferrite and pearlite.
Thickness optimization of thick walled circular cylinder by heat treatmentIRJET Journal
1. The document analyzes the thickness optimization of thick walled circular cylinders through heat treatment. It determines the maximum internal pressure capacities of untreated and heat treated cylinders using analytical calculations and finite element analysis in ANSYS.
2. The untreated cylinder can sustain a maximum internal pressure of 80MPa. The heat treated cylinder's maximum pressure capacity is improved to 110MPa. Further reducing the heat treated cylinder's thickness by 5mm reduces its maximum pressure to 90MPa.
3. Modal analysis of the reduced thickness heat treated cylinder shows natural frequencies from analytical calculations agree with ANSYS results within 3%. Its working frequencies from 21.5-45.7Hz avoid resonance conditions.
Finite element modeling and bending stress analysis of non standard spur geareSAT Journals
Abstract Gears are toothed wheels, transmitting power and motion from one shaft to another by means of successive engagement of teeth. Having a higher degree of reliability, compactness, high velocity ratio and finally able to transmit motion at a very low velocity, gears are gaining importance as the most efficient means for transmitting power. A gearing system is susceptible to problems such as interference, backlash and undercut. The contact portions of tooth profiles that are not conjugate is called interference. Furthermore due to interference and in the absence of undercut, the involute tip or face of the driven gear tends to dig out the non-involute flank of the driver. The response of a spur gear and its wear is an engineering problem that has not been completely overcome yet. With the perspective of overcoming such defects and for increase the efficiency of gearing system, the use of a non-standard spur gear i.e., an asymmetric spur gear having different pressure angles for drive and coast side of the tooth comes into picture. This paper emphasis on the generation of an asymmetric spur gear tooth using modeling software and bending stress at the root of Asymmetric spur gear tooth is estimated by finite element analysis using ANSYS software and results were compared with the standard spur gear tooth. Keywords: Asymmetric spur gear, Bending stress, Finite element method, Pressure angle
IRJET- Pushover Analysis of Vertically Regular and Irregular Steel StructureIRJET Journal
The document summarizes a study that performed pushover analysis on regular and irregular steel structures using ETABS 2016 software. Three 9-story buildings were modeled - one regular structure and two with irregularities (mass and stiffness irregularities). Pushover analysis was conducted and results like story displacement and shear were compared. The analysis found that due to mass and stiffness irregularities, story shear and displacement values increased compared to the regular structure. Therefore, vertical irregularities can negatively impact a structure's seismic performance.
A REVIEW ON OPTIMIZATION OF RESISTANCE SPOT WELDING OF ALUMINUM COMPONENTS US...AM Publications
Resistance Spot welding (RSW) is one of the common welding processes used for sheet joining especially in the automobile and aerospace industry. It is used in a wide range of industries but notably for the assembly of sheet steel vehicle bodies. This is a type of resistance welding where the spot welds are made at regular intervals on overlapping sheets of metal. Spot welding is primarily used for joining parts that are normally up to 3 mm in thickness. The joint quality can be defined in terms of properties such as weld-bead geometry, mechanical properties and distortion.The objective of the research is to determine the optimum combination of parameters responsible for better quality of joints. The complicated behavior of the process must be analyzed to set the optimum parameters to get the optimum weld quality. The paper also presents the FEA simulation of the RSW process.
Prediction of surface roughness in high speed machining a comparisoneSAT Publishing House
This document compares three techniques for predicting surface roughness (Ra) in high speed machining operations: Response Surface Methodology (RSM), Artificial Neural Network (ANN), and Adaptive Neuro-Fuzzy Inference System (ANFIS). Experiments were conducted using different cutting speeds and feeds to measure surface roughness and tool vibrations. RSM, ANN, and ANFIS models were developed using the experimental data to predict surface roughness based on the input parameters of cutting speed, feed rate, and vibration. The predicted values from each technique were compared to the actual experimental values and to each other to determine which technique most accurately modeled and predicted surface roughness.
Multi-Objective Optimization ( Surface Roughness & Material Removal Rate) of ...IJERA Editor
The present study applied Taguchi method through a case study in straight turning of AISI 202 stainless steel bar on CNC Machine ( Mfd by ACE DESIGNERS) using Titanium Carbide tool for the optimization of Material removal rate, Surface Roughness and tool wear process parameter.The study aimed at evaluating the best process environment which could simultaneously satisfy requirements of both quality as well as productivity with special emphasis on maximizing material removal rate and minimizing surface roughness and tool flank wear at various combination of cutting speed, feed, depth of cut. The predicted optimal setting ensured maximum MRR and minimum surface roughness and tool wear. Since optimum material removal rate is desired, so higher the better criteria of Taguchi signal to noise ratio is used for MRR – SNs = -10 log(Sy2/n) For surface roughness and tool wear – SNL = -10 log(S(1/y2)/n) The results have been verified with the help of S/N Ratios calculation and various graphs have been plotted to show the below mentioned observations.
a) MRR first increases with increase in cutting speed and then decreases.
b) With the increase in feed, MRR increases.
c) With the increase in depth of cut, MRR first increases and then decreases.
d) With the increase in cutting speed, Surface Roughness first decreases and then increases.
e) With the increase in feed, Surface Roughness increases.
f) With the increase in depth of cut, Surface Roughness first increases and then decreases.
IRJET- A Review on: Parametric Study for Optimization of CNC Turning Process ...IRJET Journal
This document reviews research on optimizing CNC turning process parameters to minimize surface roughness. It summarizes 10 research papers that studied the effects of cutting speed, feed rate, depth of cut, cutting tool type, and cooling conditions on surface roughness when turning various materials like steel, aluminum, and titanium. The document finds that feed rate typically has the largest effect on surface roughness, followed by cutting speed, while depth of cut has a smaller impact. It recommends using techniques like Taguchi methods, response surface methodology, and ANOVA to determine the optimal process parameters that achieve the minimum possible surface roughness.
TENSILE BEHAVIOUR OF ALUMINIUM PLATES (5083) WELDED BY FRICTION STIR WELDING IAEME Publication
Using arc welding, gas welding and other welding process, it is very difficult to weld the aluminum alloys. Friction stir welding, on the other hand, can be used to join most Al alloys and
better surface finishing is achieved. Although the work piece does heat up during friction stir weld, the temperature does not reach the melting point.
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%.
Optimization of friction stir welding process parameter using taguchi method ...eSAT Journals
Abstract Friction stir welding (FSW) is relatively new solid state joining process. This joining technique is energy efficient, environment friendly and versatile. Welding is a multiinput-output process in which quality of welded joint is depends upon a input parameter. Therefore optimization of input process parameter is required to achieve good quality of welding. There are so many methods of optimization in which Taguchi method and Response surface methodology are selected for optimization of process parameter. In this review the effect of process parameter on welded joint studied and optimizes the parameter by using Taguchi method and Response surface methodology. The study of Friction stir welding of Aluminium alloy and High density polyethylene sheets shows the improvement in welded joint quality by optimization of process parameter. The main process parameters which affect the strength of welded joint is tool rotational speed, welding speed, axial force and tool pin profile. Keywords: Friction stir welding (FSW), Optimization, Taguchi Method Response surface Methodology Prediction models
Experimental Investigation for Mechanical Properties of Aluminium Alloy Al 60...IRJET Journal
This document presents an experimental investigation of the mechanical properties of friction stir welded aluminum alloy Al 6061 joints considering different friction stir welding parameters. Specifically, it examines the effects of tool shape (taper or threaded), welding speed, and feed rate on the tensile strength, impact toughness, and microhardness of the welded joints. Experiments were conducted according to a Taguchi L8 orthogonal array design of experiments. Results indicated that welding speed had the greatest influence on tensile strength, feed rate most influenced impact toughness and microhardness, and the optimal parameters were a taper tool, 600 RPM welding speed, and 40 mm/min feed rate. These parameters produced joints with maximum mechanical property strengths.
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.
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
Effect of various process parameters on friction stir welded jointeSAT Journals
Abstract Pure and ZnS added ADP (ammonium dihydrogen phosphate) single crystals have been grown at room temperature by the free evaporation method. A total of six crystals have been grown and characterized structurally, chemically, thermally, optically, mechanically and electrically by using the suitable standard methods. Results obtained indicate that the impurity molecules have entered into the ADP crystal matrix. ZnS addition is found to increase the SHG efficiency significantly. All the grown crystals exhibit good optical transmission in the entire visible region. Results of AC and DC electrical measurements indicate a normal dielectric behaviour for all the six crystals grown. The electrical parameters, viz., DC electrical conductivity, dielectric constant, dielectric loss factor and AC electrical conductivity are found to increase with the increase in temperature. The optical, mechanical and electrical parameters are found to vary nonlinearly with the impurity (ZnS) concentration. Keywords: ADP crystal, Crystal growth, Doped crystals, Physical properties, X-ray diffraction.
Regression analysis of shot peening process for performance characteristics o...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
Multi Response Optimization of Friction Stir Lap Welding Process Parameters U...IJERA Editor
This document summarizes a study that optimized friction stir lap welding process parameters using a multi-criteria decision making approach. Experiments were conducted using different combinations of tool rotational speed, welding speed, and tool tilt angle. The responses of hardness, shear strength, elongation percentage, and peak load were measured. These responses were optimized using Deng's similarity-based method to determine the optimal parameter values. The method calculated normalized values, assigned weights to each response, and determined positive and negative ideal solutions. It was found that the optimum parameter values were a tool rotational speed of 710 rpm, welding speed of 1.5 mm/min, and tool tilt angle of 1 degree.
A review on effect of various parameters on cutting tool in orthogonal metal ...eSAT Journals
Abstract
In recent years there is great progress in the field of tool design. Tool is an important factor for machinability process. In the
metal cutting process various cutting parameters affecting on the cutting tool. The various parameters include as cutting speed,
feed rate, depth of cut, rake angle. The effect of these parameters on the cutting forces, tool temperature, and surface roughness
studied. This helps in evaluating the tool life and tool wear. This effect of parameters on tool is important for efficient machining
and machining conditions. The paper also covers the effect of cutting parameters on the chip formation and residual stresses
produced during cutting process.
Keywords: Cutting parameters, orthogonal, cutting process, cutting tool
Investigations of machining parameters on surface roughness in cnc milling u...Alexander Decker
This document summarizes a study that investigated the effect of machining parameters on surface roughness in CNC milling of H-13 die steel using the Taguchi technique. The parameters examined were spindle speed, feed rate, and depth of cut. Experiments were conducted using an L9 orthogonal array. Surface roughness measurements showed that lower feed rates, higher spindle speeds, and greater depths of cut produced lower surface roughness values. Analysis of variance identified feed rate as the most influential parameter on surface roughness. The optimized parameters determined were a low feed rate of 0.08 mm/tooth, high spindle speed of 358.8 RPM, and high depth of cut of 0.3 mm.
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.
IRJET- Multi-Response Parametric Optimization During Turning of En-31 Bar usi...IRJET Journal
The document discusses using the Grey Relational Analysis (GRA) method to optimize multiple responses during turning of EN-31 steel bar. GRA was used to determine the best process parameters to simultaneously maximize material removal rate and minimize surface roughness. An experiment was conducted using a CNC lathe with varying cutting speed, feed rate, and depth of cut. Response values for material removal rate and surface roughness were measured and a GRA coefficient was calculated for each experimental condition. The condition with the highest GRA coefficient ranking would provide the optimal settings to meet the goals of high productivity and quality.
Simulation and experimental studies for lateral extrusion of square and penta...eSAT Journals
This document discusses simulation and experimental studies of lateral extrusion of square and pentagonal heads from round shafts. Finite element analysis was used to simulate the process and predict extrusion loads and metal flow patterns. Experiments were conducted using a test rig to laterally extrude square and pentagonal shapes from lead billets and extrusion loads were measured. The finite element predictions matched well with experimental results, with peak load variations between them being less than 7.4%. Metal flow patterns from simulations and experiments showed initial filling of die corners followed by flow toward the top corners.
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.
Taguchi based Optimization of Cutting Parameters Affecting Surface Roughness ...IRJET Journal
This document summarizes a study that used the Taguchi method to optimize cutting parameters (speed, feed rate, depth of cut) for minimizing surface roughness during CNC dry turning of 16MnCr5 steel. Experiments were conducted based on an L27 orthogonal array with three factors at three levels. Analysis of variance (ANOVA) was used to determine the percentage contribution of each factor on surface roughness. Results showed that depth of cut had the highest influence on surface roughness, followed by speed and then feed rate.
Comparative study on different pin geometries of tool profile in friction sti...IAEME Publication
This document presents a comparative study on different pin geometries for tool profiles in friction stir welding using artificial neural networks. An experiment was conducted using AA6061 aluminum alloy plates welded with two different pin profiles (conical and triangular). Tensile strength test results were obtained for 27 welded joints under different welding parameters. Regression and artificial neural network models were developed to predict tensile strength based on the input parameters of tool rotation speed, welding speed, and axial force. The regression model results showed good agreement with experimental data. The artificial neural network model was found to be an effective method for predicting joint performance and identifying optimal welding conditions compared to regression analysis.
Finite element modeling for maximum temperature in friction stir welding of a...eSAT Publishing House
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
Optimization of Surface Roughness Parameters in Turning EN1A Steel on a CNC L...IRJET Journal
This document summarizes an experiment to optimize surface roughness parameters when turning EN1A steel on a CNC lathe with coolant. The experiment uses Taguchi methods to design the experiment with three factors (cutting speed, feed rate, and depth of cut) at three levels each, for a total of nine experiments. Analysis of variance is used to analyze the results and determine that feed rate has the highest contribution to surface roughness at 68.56%, followed by cutting speed at 18.98% and depth of cut at 12.46%. Regression and general linear models are developed to model the relationship between the input and output parameters. The results provide optimal cutting conditions and are useful for manufacturing industries to improve surface finish.
Similar to Effect of process parameter on mechanical properties of friction stir welded aluminium alloy joints using factorial design (20)
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
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.
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/)
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
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.
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.