The document discusses optimizing machining parameters to increase the metal removal rate in dry end milling of aluminum alloy 6082. The machining parameters investigated are spindle speed, feed rate, and depth of cut. Experiments were performed using a Taguchi design of experiments with the parameters tested at three levels. The experimental data was analyzed using Minitab software to identify the most significant factor affecting metal removal rate. The goal is to determine the optimal settings of the machining parameters to maximize productivity during end milling of aluminum alloy 6082.
Optimization of Cutting Parameters for Surface Roughness and MRR in CNC Turni...IRJET Journal
This document summarizes an experiment that optimized cutting parameters for surface roughness and material removal rate (MRR) in CNC turning of 16MnCr5 steel. The experiment used a Taguchi design of experiments with cutting speed, feed rate, and depth of cut as parameters. An L9 orthogonal array was used to test combinations of the parameters at three levels each. The experiments measured surface roughness and MRR, which were analyzed using signal-to-noise ratios to determine the optimal settings for each response. Analysis of variance was also used to determine the effect of each parameter. The results showed that depth of cut had the highest effect on surface roughness, while feed rate had the lowest effect.
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.
Optimization of Machining Parameters Affecting Surface Roughness of Al6082 in...IRJET Journal
The document discusses optimizing machining parameters to minimize surface roughness in dry end milling of Al6082 aluminum alloy. It reviews previous research, describes the experimental setup using Taguchi methods, and reports results from 27 experiments with varying spindle speed, feed rate, and depth of cut. Analysis found that feed rate had the greatest influence on surface roughness, with higher feed rates increasing roughness. The optimal parameters to minimize roughness were determined.
IRJET- Optimization of Machining Parameters for Turning on CNC Machine of Sta...IRJET Journal
This document discusses an experimental investigation into optimizing machining parameters for turning stainless steel 316 on a CNC machine. Taguchi methods were used to determine the optimal levels for cutting speed, feed rate, and depth of cut. Eighteen experiments were conducted using an L18 orthogonal array with different combinations of the parameters. The results found that depth of cut and feed rate significantly affected material removal rate and surface roughness, while cutting speed did not have a significant impact. Analysis of variance (ANOVA) identified depth of cut as the most influential factor. Optimization found the maximum material removal rate occurred at high cutting speeds, low feed rates, and high depth of cuts.
Study of Influence of Tool Nose Radius on Surface Roughness and Material Remo...IRJET Journal
This document presents an experimental study that investigates the effects of cutting speed, feed rate, depth of cut, and tool nose radius on surface roughness and material removal rate during turning of Inconel 718. An L9 orthogonal array was used to design experiments with the four machining parameters each set at three levels. Turning experiments were conducted on a CNC lathe using different carbide inserts with nose radii of 0.4mm, 0.8mm, and 1.2mm. Surface roughness was measured and material removal rate was calculated for each experiment. Signal-to-noise ratios were determined using Taguchi's smaller-the-better and larger-the-better approaches for surface roughness and material removal rate respectively
IRJET- Material Removal Rate and Surface Roughness based Cutting Paramete...IRJET Journal
This document summarizes a study that optimized cutting parameters for turning EN24 steel using Taguchi methods. Nine turning experiments were conducted using an L9 orthogonal array with cutting speed, feed rate, and depth of cut as parameters. Material removal rate was calculated and surface roughness was measured for each experiment. Signal-to-noise ratios and ANOVA were used to analyze the results and identify optimal parameters for high material removal rate and low surface roughness. The optimal parameters achieved improved material removal rate and surface roughness compared to initial settings.
IRJET- A Review on Optimization of Cutting Parameters in Machining using ...IRJET Journal
This document reviews optimization of cutting parameters in machining using the Taguchi method. It summarizes previous research that has investigated the effects of cutting speed, depth of cut, and feed rate on surface finish in end milling processes using the Taguchi method. The document also provides background on end milling, Taguchi methods, design of experiments, and reviews several previous studies that optimized cutting parameters for different materials using Taguchi methods and found that cutting speed typically has the greatest influence on surface finish, while depth of cut tends to have the smallest effect.
IRJET- Analysis of Cutting Process Parameter During Turning of EN 31 for Mini...IRJET Journal
This document analyzes cutting process parameters to minimize surface roughness during turning of EN 31 steel. Experiments were conducted using a Taguchi design of experiments with cutting speed, feed rate, and tool nose radius as parameters. Measurements showed feed rate had the greatest influence on surface roughness, followed by nose radius. The optimal combination for minimum roughness was a feed rate of 0.025 mm/rev, nose radius of 0.8 mm, and cutting speed of 210 m/min.
Optimization of Cutting Parameters for Surface Roughness and MRR in CNC Turni...IRJET Journal
This document summarizes an experiment that optimized cutting parameters for surface roughness and material removal rate (MRR) in CNC turning of 16MnCr5 steel. The experiment used a Taguchi design of experiments with cutting speed, feed rate, and depth of cut as parameters. An L9 orthogonal array was used to test combinations of the parameters at three levels each. The experiments measured surface roughness and MRR, which were analyzed using signal-to-noise ratios to determine the optimal settings for each response. Analysis of variance was also used to determine the effect of each parameter. The results showed that depth of cut had the highest effect on surface roughness, while feed rate had the lowest effect.
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.
Optimization of Machining Parameters Affecting Surface Roughness of Al6082 in...IRJET Journal
The document discusses optimizing machining parameters to minimize surface roughness in dry end milling of Al6082 aluminum alloy. It reviews previous research, describes the experimental setup using Taguchi methods, and reports results from 27 experiments with varying spindle speed, feed rate, and depth of cut. Analysis found that feed rate had the greatest influence on surface roughness, with higher feed rates increasing roughness. The optimal parameters to minimize roughness were determined.
IRJET- Optimization of Machining Parameters for Turning on CNC Machine of Sta...IRJET Journal
This document discusses an experimental investigation into optimizing machining parameters for turning stainless steel 316 on a CNC machine. Taguchi methods were used to determine the optimal levels for cutting speed, feed rate, and depth of cut. Eighteen experiments were conducted using an L18 orthogonal array with different combinations of the parameters. The results found that depth of cut and feed rate significantly affected material removal rate and surface roughness, while cutting speed did not have a significant impact. Analysis of variance (ANOVA) identified depth of cut as the most influential factor. Optimization found the maximum material removal rate occurred at high cutting speeds, low feed rates, and high depth of cuts.
Study of Influence of Tool Nose Radius on Surface Roughness and Material Remo...IRJET Journal
This document presents an experimental study that investigates the effects of cutting speed, feed rate, depth of cut, and tool nose radius on surface roughness and material removal rate during turning of Inconel 718. An L9 orthogonal array was used to design experiments with the four machining parameters each set at three levels. Turning experiments were conducted on a CNC lathe using different carbide inserts with nose radii of 0.4mm, 0.8mm, and 1.2mm. Surface roughness was measured and material removal rate was calculated for each experiment. Signal-to-noise ratios were determined using Taguchi's smaller-the-better and larger-the-better approaches for surface roughness and material removal rate respectively
IRJET- Material Removal Rate and Surface Roughness based Cutting Paramete...IRJET Journal
This document summarizes a study that optimized cutting parameters for turning EN24 steel using Taguchi methods. Nine turning experiments were conducted using an L9 orthogonal array with cutting speed, feed rate, and depth of cut as parameters. Material removal rate was calculated and surface roughness was measured for each experiment. Signal-to-noise ratios and ANOVA were used to analyze the results and identify optimal parameters for high material removal rate and low surface roughness. The optimal parameters achieved improved material removal rate and surface roughness compared to initial settings.
IRJET- A Review on Optimization of Cutting Parameters in Machining using ...IRJET Journal
This document reviews optimization of cutting parameters in machining using the Taguchi method. It summarizes previous research that has investigated the effects of cutting speed, depth of cut, and feed rate on surface finish in end milling processes using the Taguchi method. The document also provides background on end milling, Taguchi methods, design of experiments, and reviews several previous studies that optimized cutting parameters for different materials using Taguchi methods and found that cutting speed typically has the greatest influence on surface finish, while depth of cut tends to have the smallest effect.
IRJET- Analysis of Cutting Process Parameter During Turning of EN 31 for Mini...IRJET Journal
This document analyzes cutting process parameters to minimize surface roughness during turning of EN 31 steel. Experiments were conducted using a Taguchi design of experiments with cutting speed, feed rate, and tool nose radius as parameters. Measurements showed feed rate had the greatest influence on surface roughness, followed by nose radius. The optimal combination for minimum roughness was a feed rate of 0.025 mm/rev, nose radius of 0.8 mm, and cutting speed of 210 m/min.
IRJET- Optimization of Control Factors for Machining Time in CNC Milling ...IRJET Journal
This document discusses using the Taguchi method to optimize machining parameters for CNC milling of Al-7075 based metal matrix composites (MMCs). The goal is to minimize machining time. Spindle speed, feed rate, and depth of cut were selected as control factors, each with three levels. Nine experiments were conducted using an L9 orthogonal array. The machining time was measured as the response. Signal-to-noise ratios were calculated to determine the optimal levels for minimizing machining time. The results will help identify process parameters that maximize efficiency during CNC milling of MMCs.
IRJET- Review on Cutting Process Parameter for Surface Roughness During Turni...IRJET Journal
This document reviews the effects of cutting parameters like cutting speed, feed rate, nose radius, and depth of cut on surface roughness during turning operations. It discusses previous research that has investigated these effects on various materials like steel, aluminum alloys, and cast iron. The key findings of previous studies are that feed rate often has the greatest influence on surface roughness, while depth of cut and cutting speed also significantly affect results. Response surface methodology and Taguchi experimental design approaches have been used to optimize cutting parameters and predict surface roughness. Overall, controlling cutting parameters is important for achieving the desired surface quality during turning.
Experimental Approach of CNC Drilling Operation for Mild Steel Using Taguchi...IJMER
Drilling is the most common (multi-point) cutting technique targeted for the production of
small-diameter holes. Hole making is among the most important operations in manufacturing, and
drilling is a major and common hole-making process in components. Productivity can be interpreted in
terms of material removal rate in any machining operation. It is, therefore, essential to optimize quality
and productivity simultaneously. Mild steel are soft, ductile, easily machined and is extensive used us a
main engineering material in various industry such as air craft and aerospace industry. The Taguchi
method is applied to formulate the experimental layout to ascertain the Element of impact each
optimum process parameters for CNC drilling machining with drilling operation of mild steel. A total of
27 experimental runs were conducted using an orthogonal array, and the ideal combination of
controllable factor levels was determined for the material removal rate, time of machining and
circularity has been measured. Design optimization for quality was carried out and single to noise ratio
and analysis of variance (ANOVA) were employed using experiment result to confirm effectiveness of
this approach.
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.
Comparative Analysis of Tool Tip Temperature using DEFORM2D and AdvantEdgeIRJET Journal
This document compares tool tip temperature predictions using two finite element software packages, DEFORM2D and AdvantEdge, during orthogonal cutting simulations of aluminum alloy 6061. The simulations were run with cutting speed and feed held constant while tool nose radius was varied from 0.04mm to 0.055mm. Both software packages predicted that maximum tool tip temperature occurred with the smallest nose radius of 0.04mm, and minimum temperature occurred near a nose radius of 0.05mm. Specifically, DEFORM2D predicted a 0.6% lower maximum temperature with a 0.055mm nose radius, while AdvantEdge predicted a 3% lower maximum temperature also with a 0.055mm nose radius. Therefore, both software packages
Optimizing of High Speed Turning Parameters of Inconel 625 (Super Alloy) by u...IRJET Journal
This document discusses optimizing cutting parameters for high speed turning of Inconel 625 super alloy using the Taguchi technique. Inconel 625 is difficult to machine due to its properties. The study aims to determine optimal cutting speed, feed rate, and depth of cut to minimize surface roughness and maximize material removal rate. Experiments are conducted on a CNC turning machine using tungsten carbide tools and Taguchi's L9 orthogonal array. The cutting forces and responses of surface roughness and material removal rate are measured. Regression and Taguchi design of experiments methods are used for analysis to determine the optimal cutting parameters for high speed machining of Inconel 625 super alloy.
IRJET- Review Paper Optimization of Machining Parameters by using of Taguchi'...IRJET Journal
This document summarizes a research paper that used the Taguchi method to optimize machining parameters for turning operations on EN-31 alloy steel. The paper conducted experiments using various cutting speeds, feed rates, and depths of cut. The Taguchi design of experiments approach was used to determine the optimal machining parameters that maximize material removal rate. Analysis with MINITAB statistical software found that feed rate had the greatest influence on surface roughness, while cutting speed most significantly impacted cutting forces. The optimized parameters can improve the efficiency and cost-effectiveness of turning EN-31 alloy steel.
Optimization of Machining Parameters of 20MnCr5 Steel in Turning Operation u...IJMER
Now-a-days increasing the productivity and the quality of the machined parts are the main
challenges of metal cutting industry during turning processes. Optimization methods in turning
processes, considered being a vital role for continual improvement of output quality in product and
processes include modeling of input-output and in process parameters relationship and determination of
optimal cutting conditions. This paper present on Experimental study to optimize the effects of cutting
Parameters on Surface finish and MRR of 20MnCr5 Steel alloy work material by employing Taguchi
techniques. The orthogonal array, signal to noise ratio and analysis of variance were employed to study
the performance characteristics in turning operation. Five parameters were chosen as process variables:
Cutting Speed, Feed, Depth of cut, Hardness of cutting Tool, Cutting environment (wet and dry). The
experimentation plan is designed using Taguchi’s L9 Orthogonal Array (OA) and Minitab statistical
software is used. Optimal cutting parameters for minimum surface roughness (SR) and maximum material
removal rate were obtained. Finally, the relationship between factors and the performance measures
were developed by using multiple regression analysis
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 experimentally investigates the material removal rate (MRR) and tool wear in turning hardened AISI 52100 steel using the Taguchi technique. Experiments were conducted using different cutting speeds, feed rates, and depths of cut based on an L9 orthogonal array. The results were analyzed using signal-to-noise ratios and ANOVA to determine the optimal process parameters for maximizing MRR and minimizing tool wear. The analysis found that cutting speed had the greatest influence on MRR, followed by depth of cut and feed rate. The optimal parameters for MRR were a cutting speed of 1120 rpm, feed rate of 0.12 mm/rev, and depth of cut of 0.4 mm.
Optimization of machining parameters in edm of cfrp composite using taguchi t...IAEME Publication
1. The document summarizes a study that used Taguchi methods to optimize machining parameters for electrical discharge machining (EDM) of carbon fiber reinforced plastic (CFRP) composite material.
2. The study investigated the effects of gap voltage, discharge current, and pulse-on time on surface roughness. Experiments were conducted using an L9 orthogonal array.
3. Analysis of variance (ANOVA) and signal-to-noise ratios were used to analyze the results. It was found that discharge current had the most significant influence on surface roughness, and confirmation experiments validated the optimum parameters identified.
optimization of process parameters for cnc turning using taguchi methods for ...INFOGAIN PUBLICATION
Coated and uncoated tool inserts offers certain degrees of control on the desired rate of tool wear and surface roughness to an extent. This work pursues the quest for realizing the optimal values for the significant process parameters that bears an influence on the response parameters. Experiments were conducted on the samples of EN 24 alloy steel material with the help of PVD coated TiAlN insert and uncoated carbide insert. The experimental runs carried out with proper variation in the levels. Levels are selected with the help of manufacturing catalogue and by pilot experimentation and results are recorded for further analysis. For this study, 9 runs designed using L9 orthogonal array of Taguchi Design of Experiment. Surface roughness was measured using a Mitutoyo surface tester at test lab and material removal rate is calculated by mathematical equation. The data was compiled into Minitab 17 software for analysis. The relationship between the machining parameters and the response variables were analyzed using the Taguchi Method. Optimization of process parameters is carried out by Grey Relational Analysis method (GRA). GRA method is a powerful and most versatile tool which can manipulate the input data as per requirement and comes with results that can be used to have best multi-objective in respective concerns
IRJET- Multi Response Optimization of CNC Turning of Aluminum Alloy (AA-1199)...IRJET Journal
This document summarizes a research paper that investigated optimizing the cutting parameters of a CNC turning process for aluminum alloy AA-1199. The parameters considered were spindle speed, tool feed rate, and depth of cut. Experiments were conducted according to a Taguchi orthogonal array design. The responses measured were surface roughness and material removal rate. Analysis of variance and signal-to-noise ratios identified depth of cut as most significant for surface roughness and tool feed rate as most significant for material removal rate. The optimal parameters found were a spindle speed of 1300 rpm, tool feed of 0.25 mm/min, and depth of cut of 0.3 mm for minimum surface roughness.
This document summarizes a study that used Taguchi methodology and Grey Relational Analysis to optimize machining parameters for CNC end milling of stainless steel 304. The goals were to minimize surface roughness (Ra) and maximize material removal rate (MRR). Experiments were conducted using an L9 orthogonal array to test cutting speed, feed rate, and depth of cut at three levels. Response data was normalized and Grey Relational Coefficients were calculated to determine the optimal parameter combination. The analysis found that a cutting speed of 75 m/min, feed rate of 0.15 mm/rev, and depth of cut of 1.5 mm provided the best results for achieving the combined objectives of lower Ra and higher MRR.
Modeling of Morphology and Deflection Analysis of Copper AlloysIRJET Journal
This document discusses modeling the morphology and deflection analysis of copper alloys during thin wall machining. It presents an experimental investigation to determine optimal cutting conditions for machining thin walls of copper plates. The experiments used Taguchi methods to analyze the impact of cutting speed, feed rate, and depth of cut on surface roughness and part deflection. Analysis of variance (ANOVA) was then used to determine the correlation between these output responses and the cutting parameters, identifying the optimum conditions for thin wall machining of copper. The results showed that with appropriate process parameters, it is possible to end mill thin walls in copper as thin as 0.5mm with an aspect ratio of 48 and achieve a good surface finish and minimal deflection.
Experimental Investigation of Optimization of CNC Turning Process Parameters ...IRJET Journal
The document experimentally investigates optimizing CNC turning process parameters for aluminum materials. It discusses using response surface methodology to identify optimized control factors for speed, feed rate, and depth of cut when turning 99.4% aluminum. Experiments were conducted on a CNC lathe to analyze their effects on cutting force, material removal rate, and hardness. Mathematical models were developed and significance was confirmed with ANOVA. Response surface graphs show relationships between factors and responses. The optimized parameters were identified as 500rpm for speed, 0.3mm/min for feed rate, and 1.5mm for depth of cut, yielding minimum cutting force of 214.38N, maximum material removal rate of 12312mm3/min, and minimum hardness
IRJET- Review Paper Optimizationof MachiningParametersbyusing of Taguchi'...IRJET Journal
This document summarizes an experimental study that used the Taguchi method to optimize machining parameters for turning AA6063 alloy steel. The study aimed to maximize the material removal rate (MRR) by investigating the effects of cutting speed, depth of cut, and feed rate. A number of turning experiments were conducted using an L9 orthogonal array with different combinations of the machining parameters. Analysis of the experimental results found that feed rate had the greatest influence on MRR, followed by depth of cut. The Taguchi method was effective for determining the optimal machining parameters for maximizing the material removal rate during turning of AA6063 alloy steel.
This document summarizes a research study that used the firefly algorithm to optimize machining parameters (cutting speed, feed rate, and depth of cut) in CNC turning operations. Pilot experiments were conducted on a CNC lathe to machine stainless steel using different tools and cutting parameters. Empirical relationships were developed to relate machining time to the cutting parameters based on the experimental data. The firefly algorithm was then applied to determine the optimal cutting parameters that minimize machining time for given operations and surface finish requirements. The results showed that the firefly algorithm was effective at solving this parameter optimization problem.
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.
IRJET- Research Review on Multi-Objective Optimization of Machining Parameter...IRJET Journal
This document reviews research on optimizing machining parameters for turning operations using response surface methodology. It discusses previous studies that investigated factors like cutting speed, feed rate, depth of cut, nose radius, and how they affect responses such as surface roughness, material removal rate, forces, tool life. Most research found feed rate and depth of cut to be most significant for surface roughness, while cutting speed was important for material removal rate and forces. The document concludes that further research is needed to optimize multiple responses simultaneously to improve productivity and reduce costs.
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.
IRJET- Optimization of Control Factors for Machining Time in CNC Milling ...IRJET Journal
This document discusses using the Taguchi method to optimize machining parameters for CNC milling of Al-7075 based metal matrix composites (MMCs). The goal is to minimize machining time. Spindle speed, feed rate, and depth of cut were selected as control factors, each with three levels. Nine experiments were conducted using an L9 orthogonal array. The machining time was measured as the response. Signal-to-noise ratios were calculated to determine the optimal levels for minimizing machining time. The results will help identify process parameters that maximize efficiency during CNC milling of MMCs.
IRJET- Review on Cutting Process Parameter for Surface Roughness During Turni...IRJET Journal
This document reviews the effects of cutting parameters like cutting speed, feed rate, nose radius, and depth of cut on surface roughness during turning operations. It discusses previous research that has investigated these effects on various materials like steel, aluminum alloys, and cast iron. The key findings of previous studies are that feed rate often has the greatest influence on surface roughness, while depth of cut and cutting speed also significantly affect results. Response surface methodology and Taguchi experimental design approaches have been used to optimize cutting parameters and predict surface roughness. Overall, controlling cutting parameters is important for achieving the desired surface quality during turning.
Experimental Approach of CNC Drilling Operation for Mild Steel Using Taguchi...IJMER
Drilling is the most common (multi-point) cutting technique targeted for the production of
small-diameter holes. Hole making is among the most important operations in manufacturing, and
drilling is a major and common hole-making process in components. Productivity can be interpreted in
terms of material removal rate in any machining operation. It is, therefore, essential to optimize quality
and productivity simultaneously. Mild steel are soft, ductile, easily machined and is extensive used us a
main engineering material in various industry such as air craft and aerospace industry. The Taguchi
method is applied to formulate the experimental layout to ascertain the Element of impact each
optimum process parameters for CNC drilling machining with drilling operation of mild steel. A total of
27 experimental runs were conducted using an orthogonal array, and the ideal combination of
controllable factor levels was determined for the material removal rate, time of machining and
circularity has been measured. Design optimization for quality was carried out and single to noise ratio
and analysis of variance (ANOVA) were employed using experiment result to confirm effectiveness of
this approach.
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.
Comparative Analysis of Tool Tip Temperature using DEFORM2D and AdvantEdgeIRJET Journal
This document compares tool tip temperature predictions using two finite element software packages, DEFORM2D and AdvantEdge, during orthogonal cutting simulations of aluminum alloy 6061. The simulations were run with cutting speed and feed held constant while tool nose radius was varied from 0.04mm to 0.055mm. Both software packages predicted that maximum tool tip temperature occurred with the smallest nose radius of 0.04mm, and minimum temperature occurred near a nose radius of 0.05mm. Specifically, DEFORM2D predicted a 0.6% lower maximum temperature with a 0.055mm nose radius, while AdvantEdge predicted a 3% lower maximum temperature also with a 0.055mm nose radius. Therefore, both software packages
Optimizing of High Speed Turning Parameters of Inconel 625 (Super Alloy) by u...IRJET Journal
This document discusses optimizing cutting parameters for high speed turning of Inconel 625 super alloy using the Taguchi technique. Inconel 625 is difficult to machine due to its properties. The study aims to determine optimal cutting speed, feed rate, and depth of cut to minimize surface roughness and maximize material removal rate. Experiments are conducted on a CNC turning machine using tungsten carbide tools and Taguchi's L9 orthogonal array. The cutting forces and responses of surface roughness and material removal rate are measured. Regression and Taguchi design of experiments methods are used for analysis to determine the optimal cutting parameters for high speed machining of Inconel 625 super alloy.
IRJET- Review Paper Optimization of Machining Parameters by using of Taguchi'...IRJET Journal
This document summarizes a research paper that used the Taguchi method to optimize machining parameters for turning operations on EN-31 alloy steel. The paper conducted experiments using various cutting speeds, feed rates, and depths of cut. The Taguchi design of experiments approach was used to determine the optimal machining parameters that maximize material removal rate. Analysis with MINITAB statistical software found that feed rate had the greatest influence on surface roughness, while cutting speed most significantly impacted cutting forces. The optimized parameters can improve the efficiency and cost-effectiveness of turning EN-31 alloy steel.
Optimization of Machining Parameters of 20MnCr5 Steel in Turning Operation u...IJMER
Now-a-days increasing the productivity and the quality of the machined parts are the main
challenges of metal cutting industry during turning processes. Optimization methods in turning
processes, considered being a vital role for continual improvement of output quality in product and
processes include modeling of input-output and in process parameters relationship and determination of
optimal cutting conditions. This paper present on Experimental study to optimize the effects of cutting
Parameters on Surface finish and MRR of 20MnCr5 Steel alloy work material by employing Taguchi
techniques. The orthogonal array, signal to noise ratio and analysis of variance were employed to study
the performance characteristics in turning operation. Five parameters were chosen as process variables:
Cutting Speed, Feed, Depth of cut, Hardness of cutting Tool, Cutting environment (wet and dry). The
experimentation plan is designed using Taguchi’s L9 Orthogonal Array (OA) and Minitab statistical
software is used. Optimal cutting parameters for minimum surface roughness (SR) and maximum material
removal rate were obtained. Finally, the relationship between factors and the performance measures
were developed by using multiple regression analysis
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 experimentally investigates the material removal rate (MRR) and tool wear in turning hardened AISI 52100 steel using the Taguchi technique. Experiments were conducted using different cutting speeds, feed rates, and depths of cut based on an L9 orthogonal array. The results were analyzed using signal-to-noise ratios and ANOVA to determine the optimal process parameters for maximizing MRR and minimizing tool wear. The analysis found that cutting speed had the greatest influence on MRR, followed by depth of cut and feed rate. The optimal parameters for MRR were a cutting speed of 1120 rpm, feed rate of 0.12 mm/rev, and depth of cut of 0.4 mm.
Optimization of machining parameters in edm of cfrp composite using taguchi t...IAEME Publication
1. The document summarizes a study that used Taguchi methods to optimize machining parameters for electrical discharge machining (EDM) of carbon fiber reinforced plastic (CFRP) composite material.
2. The study investigated the effects of gap voltage, discharge current, and pulse-on time on surface roughness. Experiments were conducted using an L9 orthogonal array.
3. Analysis of variance (ANOVA) and signal-to-noise ratios were used to analyze the results. It was found that discharge current had the most significant influence on surface roughness, and confirmation experiments validated the optimum parameters identified.
optimization of process parameters for cnc turning using taguchi methods for ...INFOGAIN PUBLICATION
Coated and uncoated tool inserts offers certain degrees of control on the desired rate of tool wear and surface roughness to an extent. This work pursues the quest for realizing the optimal values for the significant process parameters that bears an influence on the response parameters. Experiments were conducted on the samples of EN 24 alloy steel material with the help of PVD coated TiAlN insert and uncoated carbide insert. The experimental runs carried out with proper variation in the levels. Levels are selected with the help of manufacturing catalogue and by pilot experimentation and results are recorded for further analysis. For this study, 9 runs designed using L9 orthogonal array of Taguchi Design of Experiment. Surface roughness was measured using a Mitutoyo surface tester at test lab and material removal rate is calculated by mathematical equation. The data was compiled into Minitab 17 software for analysis. The relationship between the machining parameters and the response variables were analyzed using the Taguchi Method. Optimization of process parameters is carried out by Grey Relational Analysis method (GRA). GRA method is a powerful and most versatile tool which can manipulate the input data as per requirement and comes with results that can be used to have best multi-objective in respective concerns
IRJET- Multi Response Optimization of CNC Turning of Aluminum Alloy (AA-1199)...IRJET Journal
This document summarizes a research paper that investigated optimizing the cutting parameters of a CNC turning process for aluminum alloy AA-1199. The parameters considered were spindle speed, tool feed rate, and depth of cut. Experiments were conducted according to a Taguchi orthogonal array design. The responses measured were surface roughness and material removal rate. Analysis of variance and signal-to-noise ratios identified depth of cut as most significant for surface roughness and tool feed rate as most significant for material removal rate. The optimal parameters found were a spindle speed of 1300 rpm, tool feed of 0.25 mm/min, and depth of cut of 0.3 mm for minimum surface roughness.
This document summarizes a study that used Taguchi methodology and Grey Relational Analysis to optimize machining parameters for CNC end milling of stainless steel 304. The goals were to minimize surface roughness (Ra) and maximize material removal rate (MRR). Experiments were conducted using an L9 orthogonal array to test cutting speed, feed rate, and depth of cut at three levels. Response data was normalized and Grey Relational Coefficients were calculated to determine the optimal parameter combination. The analysis found that a cutting speed of 75 m/min, feed rate of 0.15 mm/rev, and depth of cut of 1.5 mm provided the best results for achieving the combined objectives of lower Ra and higher MRR.
Modeling of Morphology and Deflection Analysis of Copper AlloysIRJET Journal
This document discusses modeling the morphology and deflection analysis of copper alloys during thin wall machining. It presents an experimental investigation to determine optimal cutting conditions for machining thin walls of copper plates. The experiments used Taguchi methods to analyze the impact of cutting speed, feed rate, and depth of cut on surface roughness and part deflection. Analysis of variance (ANOVA) was then used to determine the correlation between these output responses and the cutting parameters, identifying the optimum conditions for thin wall machining of copper. The results showed that with appropriate process parameters, it is possible to end mill thin walls in copper as thin as 0.5mm with an aspect ratio of 48 and achieve a good surface finish and minimal deflection.
Experimental Investigation of Optimization of CNC Turning Process Parameters ...IRJET Journal
The document experimentally investigates optimizing CNC turning process parameters for aluminum materials. It discusses using response surface methodology to identify optimized control factors for speed, feed rate, and depth of cut when turning 99.4% aluminum. Experiments were conducted on a CNC lathe to analyze their effects on cutting force, material removal rate, and hardness. Mathematical models were developed and significance was confirmed with ANOVA. Response surface graphs show relationships between factors and responses. The optimized parameters were identified as 500rpm for speed, 0.3mm/min for feed rate, and 1.5mm for depth of cut, yielding minimum cutting force of 214.38N, maximum material removal rate of 12312mm3/min, and minimum hardness
IRJET- Review Paper Optimizationof MachiningParametersbyusing of Taguchi'...IRJET Journal
This document summarizes an experimental study that used the Taguchi method to optimize machining parameters for turning AA6063 alloy steel. The study aimed to maximize the material removal rate (MRR) by investigating the effects of cutting speed, depth of cut, and feed rate. A number of turning experiments were conducted using an L9 orthogonal array with different combinations of the machining parameters. Analysis of the experimental results found that feed rate had the greatest influence on MRR, followed by depth of cut. The Taguchi method was effective for determining the optimal machining parameters for maximizing the material removal rate during turning of AA6063 alloy steel.
This document summarizes a research study that used the firefly algorithm to optimize machining parameters (cutting speed, feed rate, and depth of cut) in CNC turning operations. Pilot experiments were conducted on a CNC lathe to machine stainless steel using different tools and cutting parameters. Empirical relationships were developed to relate machining time to the cutting parameters based on the experimental data. The firefly algorithm was then applied to determine the optimal cutting parameters that minimize machining time for given operations and surface finish requirements. The results showed that the firefly algorithm was effective at solving this parameter optimization problem.
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.
IRJET- Research Review on Multi-Objective Optimization of Machining Parameter...IRJET Journal
This document reviews research on optimizing machining parameters for turning operations using response surface methodology. It discusses previous studies that investigated factors like cutting speed, feed rate, depth of cut, nose radius, and how they affect responses such as surface roughness, material removal rate, forces, tool life. Most research found feed rate and depth of cut to be most significant for surface roughness, while cutting speed was important for material removal rate and forces. The document concludes that further research is needed to optimize multiple responses simultaneously to improve productivity and reduce costs.
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.
IRJET- Multi-Objective Optimization of Machining Parameters by using Response...IRJET Journal
This document summarizes a literature review on optimization of machining parameters for turning operations. Several studies that optimized cutting speed, feed rate, and depth of cut to minimize surface roughness and maximize material removal rate are reviewed. Response surface methodology was used in many of these studies to develop models of the output responses based on the input parameters. The literature showed that feed rate typically had the greatest influence on surface roughness, while cutting speed most influenced material removal rate. This study aims to use response surface methodology to optimize machining time and maximize material removal rate during turning of EN-31 alloy steel.
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.
Optimization of Surface Roughness for EN 1010 Low Alloy Steel on WEDM Using R...IJAEMSJORNAL
This document describes research into optimizing the surface roughness of EN 1010 low alloy steel using wire electrical discharge machining (WEDM). Experiments were conducted using a central composite design to investigate the effects of four process parameters (pulse on time, pulse off time, peak current, and servo voltage) on surface roughness. Analysis of variance was used to identify significant parameters and develop a mathematical model relating the parameters to surface roughness. The model achieved a good fit to the data and can be used to determine the optimal parameter settings that minimize surface roughness.
Optimization of Material Removal Rate & Surface Roughness in Dry Turning of M...IJERA Editor
Optimization of machining parameters is valuable to maintain the accuracy of the components and to minimize
the cost of machining. Surface finish is an important measure for the quality of the machined parts. The present
work is an experimental investigation to study the effect of machining parameters on Material Removal Rate
and Surface Roughness in dry turning of medium carbon steel EN19. Taguchi’s single objective optimization
method was used to find the effect of input parameters on the responses. The experiments were conducted as per
Taguchi’s L9 Orthogonal Array on CNC lathe under dry conditions. Cutting parameters of speed, feed and
depth of cut were taken as inputs and machining was done by PVD TiAlN tool. Regression models for the
responses were prepared by using MINITAB-16 software. Analysis of variance (ANOVA) was used to find the
influence of machining parameters on the responses. From the ANOVA results, it is clear that speed has high
influence followed by feed and depth of cut has very low influence in achieving the optimum values for both
Material Removal Rate and Surface Roughness. Finally, experimental and Regression values of responses were
compared. From the results, it is found that both the values are close to each other hence, the regression models
prepared were more accurate and adequate. Percentage of errors between experimental and regression values
were calculated and they found in the range of ±0.20.
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.
Analysis of Surface Roughness for Cylindrical Stainless Steel Pipe (Ss 3163) ...IRJET Journal
This document discusses using artificial neural networks (ANN) to predict surface roughness in cylindrical stainless steel pipes machined using CNC lathe turning. Surface roughness is an important quality metric that is influenced by machining parameters like cutting speed, feed rate, depth of cut, and tool geometry. The document reviews previous research applying ANN and other methods to model surface roughness. It then describes an experiment using ANN to develop a model relating machining parameters to surface roughness measured from turning 316L stainless steel pipes on a CNC lathe. The results indicate ANN is an effective method for accurately predicting surface roughness based on cutting conditions.
Analysis of process parameters in dry machining of en 31 steel by grey relati...IAEME Publication
This paper presents the optimization of surface roughness & material removal rate in dry turning of EN-31 steel.Carbide inserts were used for machining of EN-31 to study effects of process parameters [Cutting speed (S), Feed (F) and depth of cut (d)]. These models can be effectively used to predict the surface roughness (Ra) of the workpiece. The big challenge of the Micro, small& medium industries in India for achieving high quality products with increased productivity.Paper presentswork of an investigation of turning process parameters on EN-31 material, for optimization of surface roughness, material removal rate.The experiment is carried out by considering three controllable input variables namely cutting speed, feed rate, and depth of cut.The design of experiment and optimization of surface roughness is carried out by using Taguchi L9 orthogonal array & Grey Relational analysis.
Analysis of process parameters in dry machining of en 31 steel by grey relati...IAEME Publication
This document summarizes a study that optimized surface roughness and material removal rate when dry turning the steel alloy EN-31. Experiments were conducted using carbide inserts with cutting speed, feed rate, and depth of cut as controllable variables. Taguchi's design of experiments and Grey relational analysis were used to optimize surface roughness. The literature review found that feed rate is often the most influential factor on surface roughness in hard turning steel alloys like EN-31. The goal of the study was to determine optimal machining parameters in dry turning of EN-31 to improve productivity for small and medium industries in India.
ANALYSIS OF PROCESS PARAMETERS IN DRY MACHINING OF EN-31 STEEL by GREY RELATI...IAEME Publication
This paper presents the optimization of surface roughness & material removal rate in dry turning of EN-31 steel.Carbide inserts were used for machining of EN-31 to study effects of process parameters [Cutting speed (S), Feed (F) and depth o f cut (d)]. These models can be effectively used to predict the surface roughness (Ra) of the workpiece. The big challenge of the Micro, small& medium industries in India for achieving high quality products with increased productivity.Paper presents work of an investigation of turning process parameters on EN-31 material, for optimization of surface roughness, material removal rate.The experiment is carried out by considering three controllable input variables namely cutting speed, feed rate, and depth of cut.The design of experiment and optimization of surface roughness is carried out by using Taguchi L9 orthogonal array & Grey Relational analysis.
The document summarizes research on optimizing machining parameters for CNC turning of aluminum alloy 7020 using Response Surface Methodology (RSM). It provides background on CNC turning, tool materials, workpiece material (Al 7020), and machining parameters to be optimized (cutting speed, feed rate, depth of cut). The document also reviews previous literature on optimizing machining parameters for aluminum alloys and describes the methodology used in the present study.
Optimization of Process Parameters for CNC Turning using Taguchi Methods for ...IRJET Journal
The document summarizes an experiment that optimized process parameters for CNC turning of EN8 alloy steel using coated and uncoated tool inserts. The experiment used Taguchi methods to design the experiment with three factors (spindle speed, feed rate, and depth of cut) at three levels each in an L9 orthogonal array. The experiments were conducted and measured the responses of surface roughness and material removal rate. Analysis of variance (ANOVA) and Grey relational analysis were then used to analyze the results and determine the optimal process parameters for minimizing surface roughness and maximizing material removal rate.
OPTIMIZATION OF TURNING PROCESS PARAMETER IN DRY TURNING OF SAE52100 STEELIAEME Publication
This document summarizes an experiment to optimize surface roughness and material removal rate during dry turning of SAE52100 steel. The experiment varied cutting speed, feed rate, and depth of cut using a Taguchi L9 orthogonal array. Surface roughness increased with increasing feed rate and decreasing cutting speed. Material removal rate models were developed that showed it increases with cutting speed and depth of cut but decreases with feed rate. Analysis found feed rate has the greatest influence on surface roughness, while depth of cut most influences material removal rate. The goal of the experiment was to determine optimal machining parameters that minimize surface roughness and maximize material removal rate and productivity during dry turning of SAE52100 steel.
A Review on Optimization of Cutting Parameters for Improvement of Surface Rou...IRJET Journal
This document summarizes a study that used the Taguchi method and Grey Taguchi approach to optimize cutting parameters for improving surface roughness and tool life during low carbon steel turning. The study used an L27 orthogonal array to experiment with cutting speed, feed rate, depth of cut, and corner radius. Surface roughness and flank wear were evaluated as output parameters. Analysis of variance found that cutting speed most significantly affects surface roughness and flank wear, followed by depth of cut, feed rate, and corner radius. The optimized parameters were determined to be a cutting speed of 325m/min, feed rate of 0.1 mm/rev, depth of cut of 0.25mm, and corner radius of 0.8mm.
Effectiveness of multilayer coated tool in turning of aisi 430 f steeleSAT Journals
Abstract This paper presents minimization of surface roughness in dry turning of AISI 430F steel using TiN-TiCN-Al2O3-ZrCN multilayer coated cemented carbide & cryo-treated inserts. Effect of cutting velocity, feed rate, depth of cut & machining duration is studied on the surface roughness. Taguchi’s design of experiment is used to find the optimum factor levels. It is found that the feed rate has much effect in producing lower surface roughness followed by speed. The depth of cut has lesser role on surface roughness. The result of Taguchi method shows that cutting velocity of 250m/min, feed rate of 0.25 mm/rev and depth of cut of 0.3mm should be maintained as optimal parameter settings for both coated and cryo-treated tools. Cryo-treated tools perform better. Keywords: Cryo-treatment, Dry Turning, Surface roughness, Taguchi Method
Performance of machining parameters on powder metals by using PCBN tool and c...IRJET Journal
This document summarizes a study on the effects of machining parameters on the surface roughness of powder metals machined using PCBN and carbide tools. The study involved conducting milling experiments on powder metal steel, varying spindle speed, feed rate, and depth of cut. Analysis of variance was used to determine the significance of each parameter on surface roughness. The experiments found that increased feed rate improved tool life for PCBN tools, while lower feed rate improved tool life for carbide tools. Cutting speed also significantly impacted tool life, with lower speeds leading to longer tool life. The study provided insight into optimizing cutting conditions to increase tool life when machining powder metals.
Full factorial method for optimization of process parameters for surface roug...Editor IJMTER
The document summarizes research on optimizing process parameters for surface roughness and material removal rate during CNC turning of 316L stainless steel. It discusses using a full factorial design of experiments approach to optimize cutting speed, feed rate, and depth of cut. The document reviews previous research optimizing these parameters for different materials and discusses the problem statement of finding the best parameter combination. The scope of the current study and literature reviewed is also summarized.
Milling machining GFRP composites using grey relational analysis and the resp...IRJET Journal
This document summarizes research on optimizing the milling machining process for glass fiber reinforced polymer (GFRP) composites. The researchers used a Taguchi experimental design and Grey Relational Analysis (GRA) to determine the optimal machining parameters that minimize machining force and surface roughness. Their results showed that at optimal levels for spindle speed, feed rate, depth of cut, and cutting tool type, machining force decreased from 17.19N to 15.92N and surface roughness improved. Analysis of variance found that cutting tool type had the greatest influence on machining force. The researchers concluded that Taguchi and GRA methods can effectively optimize composite machining outcomes.
Similar to IRJET-Optimization of Machining Parameters Affecting Metal Removal Rate of Aluminium Alloy 6082 in Dry End Milling Operation on VMC (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Low power architecture of logic gates using adiabatic techniquesnooriasukmaningtyas
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
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.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.