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-Optimization of Machining Parameters Affecting Metal Removal Rate of Al...IRJET Journal
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.
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- 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.
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.
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.
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.
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.
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-Optimization of Machining Parameters Affecting Metal Removal Rate of Al...IRJET Journal
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.
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- 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.
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.
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.
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.
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.
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- 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.
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
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.
Optimization of surface roughness in high speed end milling operation usingIAEME Publication
This document summarizes an investigation into optimizing surface roughness in high-speed end milling of Al-Si-Mg-Fe alloy workpieces using Taguchi's method. The study used an L9 orthogonal array to experiment with cutting speed, feed rate, and depth of cut. Surface roughness was measured and ANOVA was performed. Results showed depth of cut had the strongest influence on surface roughness, contributing over 73% of the variation, while cutting speed and feed rate also significantly impacted surface roughness. Surface roughness decreased with increasing cutting speed and increased with higher feed rates and depths of cut. Overall, Taguchi's method was able to optimize the machining parameters to minimize surface roughness.
IRJET- Taguchi Optimization of Cutting Parameters for Surface Roughness and M...IRJET Journal
This document summarizes a study that used the Taguchi method to optimize cutting parameters (cutting speed, feed rate, and depth of cut) for surface roughness and material removal rate during turning operations. Experiments were conducted using a CNC lathe machine and 25Cr-12 Ni TP309 steel workpiece material. An L9 orthogonal array was used to collect data on the response variables (surface roughness and material removal rate) based on variations in the cutting parameters. The data was analyzed using signal-to-noise ratios and ANOVA to determine the optimal cutting parameter settings that minimized surface roughness and maximized material removal rate.
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.
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- 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.
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.
Prediction of Tool Life of Different Coated Cutting Tools During Machining of...IRJET Journal
This document summarizes research on predicting the tool life of different coated cutting tools during machining of Inconel 718. Two coatings, TiAlSiN and TiAlN, were deposited on tungsten carbide end mills. Experiments were conducted to analyze tool wear and surface roughness at various cutting speeds, feeds, and depths of cut. The results showed that coated tools performed better than uncoated tools with longer tool life. TiAlSiN coated tools performed the best with the longest tool life. As flank wear increased with cutting time, the surface roughness of the machined parts also increased. Cutting forces generally increased with progression of tool wear and other factors like work hardening. Higher cutting speeds and feeds led
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.
Modeling and Optimization of Surface roughness and Machining Induced Vibratio...theijes
This paper presents the machining induced vibration and surface roughness modeled, predicted and optimized as functions of the cutting tool overhang, feed rate and cutting speed during hard and high speed turning of 41Cr4 alloy structural steel on an engine lathe machine with a carbide tool. The response surface methodology, based on central composite design of experiment was adopted, and analysis facilitated by using the Design Expert 9 software to generate and validate the models, predict the effect of the process variables on the response variables as well as obtain the optimum setting of the process variables that would minimize the response variables. Quadratic regression models were suggested as best fit for the measured machining induced vibration and surface roughness data. All the model terms of the machining induced vibration are significant with exception of the square term of the tool overhang. Whereas, all those of the surface roughness are significant with exception of the linear term of the tool overhang. The optimum setting of the cutting tool overhang at 57.8784 mm, feed rate at 0.15 mm/rev and the cutting speed at 328.507 rev/min minimized the machining induced vibration to a value of 0.18 mm/s2 , and the surface roughness to a value of 4.399 µmm with desirability of 0.822. Within the selected experimental design limits, the obtained response surface models can be used to accurately predict and optimize the machining induced vibration and surface roughness as functions of the tool overhang, feed rate and cutting speed during hard turning of 41Cr4 alloy structural steel.
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 Cylindrical Grinding Process Parameters on C40E Steel Using T...IJERA Editor
Surface finish and dimensional accuracy play a vital role in the today’s engineering industry. There are several methods used to achieve good surface finish like burnishing, honing and lapping, and grinding. Grinding is one of these ways that improves the surface finish and dimensional accuracy simultaneously. C40E steel has good industrial application in manufacturing of shafts, axles, spindles, studs, etc. In the present work the cylindrical grinding of C40E steel is done for the optimization of grinding process parameters. During this experimental work input process parameters i.e. speed, feed, depth of cut is optimized using Taguchi L9 orthogonal array. Analysis of variance (ANOVA) concluded that surface roughness is minimum at the 210 rpm, 0.11mm/rev feed, and 0.04mm depth of penetration.
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
IRJET- Manufacturing Technology: Optimization of Machining Performance in...IRJET Journal
This document presents a new methodology for optimizing machining performance in contour finish turning operations. It develops a computer program to calculate effective cutting conditions and tool geometry along the workpiece contour. It also formulates a methodology to predict chip side-flow for complex grooved tool inserts. Experimental databases are established and data interpolation is used to predict cutting forces, chip shape/size, and surface roughness. Finally, an optimization program is developed to determine optimal cutting conditions for contour finish turning based on predictions of machining performance.
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 Tool Path and Process Parameters in Slot Milling using Grey R...IRJET Journal
This document summarizes a research study that aimed to optimize the tool path and process parameters for slot milling of AISI D3 steel. The study investigated different tool paths (raster, trochoidal, hybrid) at various cutting speeds and feed rates using a Taguchi experimental design. Surface roughness and cutting forces were measured for each experimental run. Grey relational analysis was used to analyze the results and identify the optimal tool path and cutting conditions that minimized surface roughness and cutting forces. The results of the study will help manufacturers select machining parameters that improve part quality while reducing production costs.
SolidCAM iMachining technology positive effects on cutting tool life during m...IRJET Journal
The document analyzes the effects of using SolidCAM iMachining technology on tool wear during machining of stainless steel AISI 304. Key findings include:
1) Tool life was increased significantly, with a tool expected to last 200-300 minutes instead lasting around 1000 minutes with minimal dimensional changes in the workpiece.
2) Dimensions of machined parts were measured after machining sets of 20 pieces and found to remain within tolerance limits.
3) Tool wear analysis found some initial chipping but the engaged cutting edge showed no significant wear features, attributed to use of an appropriate AlTiN+ coating.
IRJET- Experimental Analysis and Geometrical Effect on Mild Steel with Un...IRJET Journal
This document describes an experimental analysis of drilling mild steel with both uncoated and tungsten carbide coated high-speed steel drill bits using the Taguchi technique. The experiment analyzed the impact of drilling speed, feed rate, and depth of cut on surface roughness, hole diameter, and material removal rate. Experiments were conducted on a CNC milling machine without cutting fluid. Results for the uncoated and coated drilling were collected and analyzed using Minitab software to determine the optimal drilling parameters.
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.
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.
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
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.
Optimization of surface roughness in high speed end milling operation usingIAEME Publication
This document summarizes an investigation into optimizing surface roughness in high-speed end milling of Al-Si-Mg-Fe alloy workpieces using Taguchi's method. The study used an L9 orthogonal array to experiment with cutting speed, feed rate, and depth of cut. Surface roughness was measured and ANOVA was performed. Results showed depth of cut had the strongest influence on surface roughness, contributing over 73% of the variation, while cutting speed and feed rate also significantly impacted surface roughness. Surface roughness decreased with increasing cutting speed and increased with higher feed rates and depths of cut. Overall, Taguchi's method was able to optimize the machining parameters to minimize surface roughness.
IRJET- Taguchi Optimization of Cutting Parameters for Surface Roughness and M...IRJET Journal
This document summarizes a study that used the Taguchi method to optimize cutting parameters (cutting speed, feed rate, and depth of cut) for surface roughness and material removal rate during turning operations. Experiments were conducted using a CNC lathe machine and 25Cr-12 Ni TP309 steel workpiece material. An L9 orthogonal array was used to collect data on the response variables (surface roughness and material removal rate) based on variations in the cutting parameters. The data was analyzed using signal-to-noise ratios and ANOVA to determine the optimal cutting parameter settings that minimized surface roughness and maximized material removal rate.
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.
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- 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.
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.
Prediction of Tool Life of Different Coated Cutting Tools During Machining of...IRJET Journal
This document summarizes research on predicting the tool life of different coated cutting tools during machining of Inconel 718. Two coatings, TiAlSiN and TiAlN, were deposited on tungsten carbide end mills. Experiments were conducted to analyze tool wear and surface roughness at various cutting speeds, feeds, and depths of cut. The results showed that coated tools performed better than uncoated tools with longer tool life. TiAlSiN coated tools performed the best with the longest tool life. As flank wear increased with cutting time, the surface roughness of the machined parts also increased. Cutting forces generally increased with progression of tool wear and other factors like work hardening. Higher cutting speeds and feeds led
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.
Modeling and Optimization of Surface roughness and Machining Induced Vibratio...theijes
This paper presents the machining induced vibration and surface roughness modeled, predicted and optimized as functions of the cutting tool overhang, feed rate and cutting speed during hard and high speed turning of 41Cr4 alloy structural steel on an engine lathe machine with a carbide tool. The response surface methodology, based on central composite design of experiment was adopted, and analysis facilitated by using the Design Expert 9 software to generate and validate the models, predict the effect of the process variables on the response variables as well as obtain the optimum setting of the process variables that would minimize the response variables. Quadratic regression models were suggested as best fit for the measured machining induced vibration and surface roughness data. All the model terms of the machining induced vibration are significant with exception of the square term of the tool overhang. Whereas, all those of the surface roughness are significant with exception of the linear term of the tool overhang. The optimum setting of the cutting tool overhang at 57.8784 mm, feed rate at 0.15 mm/rev and the cutting speed at 328.507 rev/min minimized the machining induced vibration to a value of 0.18 mm/s2 , and the surface roughness to a value of 4.399 µmm with desirability of 0.822. Within the selected experimental design limits, the obtained response surface models can be used to accurately predict and optimize the machining induced vibration and surface roughness as functions of the tool overhang, feed rate and cutting speed during hard turning of 41Cr4 alloy structural steel.
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 Cylindrical Grinding Process Parameters on C40E Steel Using T...IJERA Editor
Surface finish and dimensional accuracy play a vital role in the today’s engineering industry. There are several methods used to achieve good surface finish like burnishing, honing and lapping, and grinding. Grinding is one of these ways that improves the surface finish and dimensional accuracy simultaneously. C40E steel has good industrial application in manufacturing of shafts, axles, spindles, studs, etc. In the present work the cylindrical grinding of C40E steel is done for the optimization of grinding process parameters. During this experimental work input process parameters i.e. speed, feed, depth of cut is optimized using Taguchi L9 orthogonal array. Analysis of variance (ANOVA) concluded that surface roughness is minimum at the 210 rpm, 0.11mm/rev feed, and 0.04mm depth of penetration.
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
IRJET- Manufacturing Technology: Optimization of Machining Performance in...IRJET Journal
This document presents a new methodology for optimizing machining performance in contour finish turning operations. It develops a computer program to calculate effective cutting conditions and tool geometry along the workpiece contour. It also formulates a methodology to predict chip side-flow for complex grooved tool inserts. Experimental databases are established and data interpolation is used to predict cutting forces, chip shape/size, and surface roughness. Finally, an optimization program is developed to determine optimal cutting conditions for contour finish turning based on predictions of machining performance.
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 Tool Path and Process Parameters in Slot Milling using Grey R...IRJET Journal
This document summarizes a research study that aimed to optimize the tool path and process parameters for slot milling of AISI D3 steel. The study investigated different tool paths (raster, trochoidal, hybrid) at various cutting speeds and feed rates using a Taguchi experimental design. Surface roughness and cutting forces were measured for each experimental run. Grey relational analysis was used to analyze the results and identify the optimal tool path and cutting conditions that minimized surface roughness and cutting forces. The results of the study will help manufacturers select machining parameters that improve part quality while reducing production costs.
SolidCAM iMachining technology positive effects on cutting tool life during m...IRJET Journal
The document analyzes the effects of using SolidCAM iMachining technology on tool wear during machining of stainless steel AISI 304. Key findings include:
1) Tool life was increased significantly, with a tool expected to last 200-300 minutes instead lasting around 1000 minutes with minimal dimensional changes in the workpiece.
2) Dimensions of machined parts were measured after machining sets of 20 pieces and found to remain within tolerance limits.
3) Tool wear analysis found some initial chipping but the engaged cutting edge showed no significant wear features, attributed to use of an appropriate AlTiN+ coating.
IRJET- Experimental Analysis and Geometrical Effect on Mild Steel with Un...IRJET Journal
This document describes an experimental analysis of drilling mild steel with both uncoated and tungsten carbide coated high-speed steel drill bits using the Taguchi technique. The experiment analyzed the impact of drilling speed, feed rate, and depth of cut on surface roughness, hole diameter, and material removal rate. Experiments were conducted on a CNC milling machine without cutting fluid. Results for the uncoated and coated drilling were collected and analyzed using Minitab software to determine the optimal drilling parameters.
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.
IRJET- Selection for Better and Increased Tool Life by the Use of HSS Cutting...IRJET Journal
This document summarizes a research study that evaluated the optimal cutting parameters for maximum tool life when machining mild steel and aluminum with HSS cutting tools under dry conditions. Experiments were conducted using different spindle speeds, cutting speeds, and feed rates to determine their effects on depth of cut and tool life. Results showed that higher spindle speeds and feeds decreased tool life for both materials. Mild steel provided longer tool life than aluminum. The study aimed to identify cutting conditions for improved tool life by selecting appropriate workpiece and cutting tool materials along with suitable feed rates and lower cutting speeds.
Optimization of surface roughness in high speed end milling operation usingIAEME Publication
This document summarizes an investigation into optimizing surface roughness in high-speed end milling of Al-Si-Mg-Fe alloy workpieces using Taguchi's method. The study used an L9 orthogonal array to experiment with cutting speed, feed rate, and depth of cut. Surface roughness was measured and ANOVA was performed. Results showed depth of cut had the strongest influence on surface roughness, contributing over 73% of the variation, while cutting speed and feed rate also significantly impacted surface roughness. Surface roughness decreased with increasing cutting speed and increased with higher feed rates and depths of cut.
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.
Optimization of Tool Wear and Cutting Force By Effective Use of Cutting Param...IRJET Journal
This document summarizes an experimental study that aimed to optimize tool wear and cutting force during turning operations of mild steel using high speed steel tools. Experiments were conducted using a center lathe machine across various cutting parameters (spindle speed, depth of cut, feed rate). Data on tool wear and cutting force was collected for 27 experimental runs based on a Taguchi L27 orthogonal array. The data was then analyzed using graphical and statistical (Signal-to-Noise ratio, ANOVA) methods to determine the optimal cutting parameter levels that minimize tool wear and cutting force. The results show that depth of cut had the greatest influence on tool wear and cutting force, followed by feed rate and spindle speed.
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 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.
An Investigation on Surface Roughness of A356 Aluminium Alloy in Turning Proc...IRJET Journal
This document describes an investigation into optimizing surface roughness in the turning process of an A356 aluminum alloy rod. The study uses Taguchi methods to design experiments that vary cutting speed, feed rate, and depth of cut as process parameters. Experiments are conducted on a CNC lathe using a carbide tip tool. Surface roughness is measured using a portable profilometer and analyzed using ANOVA to determine the best process conditions for minimizing surface roughness while maximizing productivity. The optimal conditions found will be verified with confirmation tests.
An experiental investigation of effect of cutting parameters and tool materia...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
An experiental investigation of effect of cutting parameters and tool materia...eSAT Journals
Abstract The major needs of machining are high material removal rate, good work surface finish and low tool wear. Industries are hiring to increase economical benefits by reducing the cost of production. These objectives can be achieved by using proper cutting tool material and cutting parameters. This report presents comparisons of two different coated carbide inserts under different cutting parameters used during machining of cylinder liners made up of grey cast iron. The comparison has been realized through the tool life tests and productivity. The measurement has been carried out from rough boring operation at three cutting speed (Vc) and feed rate (f). Depth of cut (doc) is kept constant at 1.5mm. Cutting tool used in this work is titanium nitride (TiN) coated carbide and comparing with Multilayer coated tool is titanium nitride (TiN) + titanium carbo nitride (TiCN) + Aluminium oxide (Al2O3) coated carbide inserts. The type of the insert is SNMG 120408. Cutting conditions used is speed (Vc) 100m/min, 125m/min, 150m/min. Feed rate (f) 0.25mm/rev,0.3mm/rev,0.35mm/rev. Finally results of the present work determine the appropriate parameter for increasing the tool life, and productivity. Key words: Tool life, Coated tool material, Process parameters, Productivity.
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.
Optimization of Machining Parameters for Turning Of Aluminium Alloy 7075 Usin...IRJET Journal
This document describes an experiment to optimize machining parameters for turning aluminum alloy 7075 using the Taguchi method. Three machining parameters (cutting speed, feed rate, and depth of cut) were varied across 27 experiments based on a Taguchi orthogonal array design. The results were analyzed to determine the optimal levels for maximizing material removal rate and minimizing machining time. Analysis of variance showed that cutting speed had the greatest influence on both responses, followed by feed rate. The optimal parameters for maximum material removal rate and minimum machining time were a cutting speed of 1500 m/min, feed rate of 0.20 mm/rev, and depth of cut of 0.8 mm.
IRJET- Development of Special Tool with Fixture for Process Optimization ...IRJET Journal
1) The document describes the development of a specialized tool and fixture for cutting hex key holes.
2) The tool is designed using CAD software based on key hole dimensions and analyzed using classical techniques validated by finite element analysis.
3) The tool allows hex key holes to be cut on a lathe in a rotary broaching process, decreasing machining costs by 20 times and production time by 10 times while maintaining quality.
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.
Similar to IRJET- Optimization of Control Factors for Machining Time in CNC Milling of AL-7075 based MMCs using Taguchi Robust Design Methodology (18)
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.
The CBC machine is a common diagnostic tool used by doctors to measure a patient's red blood cell count, white blood cell count and platelet count. The machine uses a small sample of the patient's blood, which is then placed into special tubes and analyzed. The results of the analysis are then displayed on a screen for the doctor to review. The CBC machine is an important tool for diagnosing various conditions, such as anemia, infection and leukemia. It can also help to monitor a patient's response to treatment.
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.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
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.
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.
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.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024