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.
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.
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.
This document reviews optimization of process parameters for surface roughness and material removal rate (MRR) when machining stainless steel 316 on a CNC machine. It begins with an abstract that describes using design of experiments and grey relational analysis to optimize surface roughness based on data from 27 specimens produced via straight turning. The introduction provides background on the importance of surface roughness and challenges of achieving desired quality features on CNC machines. The literature review summarizes several previous studies on optimizing parameters like speed, feed rate, and depth of cut to minimize surface roughness and maximize MRR using techniques like Taguchi methods. The document aims to identify optimal parameter combinations to simultaneously optimize multiple quality objectives.
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.
Effects of the Cutting Conditions and Vibration on the Surface Roughness of E...IRJET Journal
The document presents the results of a study investigating the influence of cutting parameters (spindle speed, axial depth of cut, feed rate) and machining vibration on surface roughness in an end milling process of aluminum alloy. Regression analysis was used to establish mathematical models for predicting surface roughness under various cutting conditions. The results show that accounting for machining vibration in the model improves the correlation between predicted and measured surface roughness values compared to a model using only cutting parameters. This suggests vibration greatly influences cutting quality and is an important parameter for prediction models.
Optimization of machining parameters on milling of GFRP composites by GREY Me...IRJET Journal
1. The document presents an optimization study of milling parameters for glass fiber reinforced polymer (GFRP) composites using Taguchi methods and Grey relational analysis.
2. An L25 orthogonal array was used to design 25 milling experiments varying four parameters (cutting tool, spindle speed, feed rate, depth of cut) at five levels each. The responses of machining force and surface roughness were analyzed.
3. Grey relational analysis was used to determine the optimal machining parameters that minimize the multiple responses of machining force and surface roughness. The analysis identified cutting tool and spindle speed as the most significant parameters affecting the quality characteristics during GFRP milling.
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.
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- 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.
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.
This document reviews optimization of process parameters for surface roughness and material removal rate (MRR) when machining stainless steel 316 on a CNC machine. It begins with an abstract that describes using design of experiments and grey relational analysis to optimize surface roughness based on data from 27 specimens produced via straight turning. The introduction provides background on the importance of surface roughness and challenges of achieving desired quality features on CNC machines. The literature review summarizes several previous studies on optimizing parameters like speed, feed rate, and depth of cut to minimize surface roughness and maximize MRR using techniques like Taguchi methods. The document aims to identify optimal parameter combinations to simultaneously optimize multiple quality objectives.
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.
Effects of the Cutting Conditions and Vibration on the Surface Roughness of E...IRJET Journal
The document presents the results of a study investigating the influence of cutting parameters (spindle speed, axial depth of cut, feed rate) and machining vibration on surface roughness in an end milling process of aluminum alloy. Regression analysis was used to establish mathematical models for predicting surface roughness under various cutting conditions. The results show that accounting for machining vibration in the model improves the correlation between predicted and measured surface roughness values compared to a model using only cutting parameters. This suggests vibration greatly influences cutting quality and is an important parameter for prediction models.
Optimization of machining parameters on milling of GFRP composites by GREY Me...IRJET Journal
1. The document presents an optimization study of milling parameters for glass fiber reinforced polymer (GFRP) composites using Taguchi methods and Grey relational analysis.
2. An L25 orthogonal array was used to design 25 milling experiments varying four parameters (cutting tool, spindle speed, feed rate, depth of cut) at five levels each. The responses of machining force and surface roughness were analyzed.
3. Grey relational analysis was used to determine the optimal machining parameters that minimize the multiple responses of machining force and surface roughness. The analysis identified cutting tool and spindle speed as the most significant parameters affecting the quality characteristics during GFRP milling.
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.
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 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.
“Gray Relational Based Analysis of Al-6351”iosrjce
IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of mechanical and civil engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in mechanical and civil engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
This document describes an experimental study on optimizing cutting parameters for milling aluminum alloy 6351. Experiments were conducted using an orthogonal array design with four cutting parameters (speed, feed, depth of cut, tool diameter) each at three levels. The objectives were to minimize surface roughness and maximize material removal rate. Gray relational analysis was used to determine the optimal cutting conditions for the combined objectives. The results showed that feed had the greatest influence on surface roughness, while speed had the least effect on material removal rate. This analysis method provides a means to optimize multiple performance characteristics simultaneously in milling.
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-Objective Optimization of Machining Parameters for Dry CNC Turnin...IRJET Journal
This document summarizes a study that used Grey Relation Analysis to optimize machining parameters for dry CNC turning of 16MnCr5 steel. Experiments were conducted using an L9 orthogonal array to examine the effects of cutting speed, feed rate, and depth of cut on surface roughness and material removal rate. Grey Relation Analysis was used to determine the optimal parameters that minimize surface roughness and maximize material removal rate. The analysis found that depth of cut has the greatest influence on the responses, followed by speed and then feed rate. The optimal parameters were determined to be a speed of 800 rpm, feed of 0.18 mm/rev, and depth of cut of 1.5 mm.
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.
Experimental Investigation and Parametric Studies of Surface Roughness Analys...IJMER
The modern machining industries are focused on achieving high quality, in terms of
part/component accuracy, surface finish, high production rate and increase in product life. Surface
roughness of machined components has received serious attention of researchers for many years. It has
been an important design feature and quality measure in machining process. There are a large number of
parameters which affect the surface roughness. The typical controllable parameters for the CNC machines
include cutting tool variables, work piece material variables, cutting conditions etc. The desired output is
surface roughness, material removal rate, tool wear, etc. Optimization of machining parameters needs to
determine the most significant parameter for required output. Many techniques are used for optimization
of machining parameters including Taguchi, RSM and ANOVA approach to determine most significant
parameter.
The present work is therefore in a direction to integrate effect of various parameters which affect
the surface roughness. This paper investigates the parameters affecting the surface roughness and / or
material removal rate with CNC turning process studied by researchers. It also discusses some other
parameters such as cutting force and power consumption in different conditions.
Experimental Investigation and Parametric Studies of Surface Roughness Analy...IJMER
The modern machining industries are focused on achieving high quality, in terms of part/component accuracy, surface finish, high production rate and increase in product life. Surface roughness of machined components has received serious attention of researchers for many years. It has
been an important design feature and quality measure in machining process. There are a large number of
parameters which affect the surface roughness. The typical controllable parameters for the CNC machines
include cutting tool variables, work piece material variables, cutting conditions etc. The desired output is
surface roughness, material removal rate, tool wear, etc. Optimization of machining parameters needs to
determine the most significant parameter for required output. Many techniques are used for optimization
of machining parameters including Taguchi, RSM and ANOVA approach to determine most significant
parameter. The present work is therefore in a direction to integrate effect of various parameters which affect
the surface roughness. This paper investigates the parameters affecting the surface roughness and / or
material removal rate with CNC turning process studied by researchers. It also discusses some other parameters such as cutting force and power consumption in different conditions
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.
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
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.
Investigations of machining parameters on surface roughness in cnc milling u...Alexander Decker
This document summarizes a study that investigated the effect of machining parameters on surface roughness in CNC milling of H-13 die steel using the Taguchi technique. The parameters examined were spindle speed, feed rate, and depth of cut. Experiments were conducted using an L9 orthogonal array. Surface roughness measurements showed that lower feed rates, higher spindle speeds, and greater depths of cut produced lower surface roughness values. Analysis of variance identified feed rate as the most influential parameter on surface roughness. The optimized parameters determined were a low feed rate of 0.08 mm/tooth, high spindle speed of 358.8 RPM, and high depth of cut of 0.3 mm.
Process Parametric Optimization of CNC Vertical Milling Machine Using Taguchi...IOSR Journals
Abstract- An experiment was conducted to perform the parametric optimization of CNC end milling machine
tool in varying condition. The tool used for experiment was of Solid Carbide and the Mild Steel work piece was
used during experiment. The experiment has been taken place efficiently and completes its all objective of
optimization. The practical result can be used in industry to get the desirable Surface Roughness and Material
Removal Rate for the work piece by using suitable parameter combination.
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.
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.
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 Cylindrical Grinding of Alloy Steel using desirability functi...IRJET Journal
1. The document summarizes research optimizing parameters for cylindrical grinding of alloy steel. It used Taguchi methods, response surface analysis, and grey relational analysis to determine optimal cutting speed, depth of cut, and feed rate to maximize material removal rate.
2. Analysis found depth of cut had the greatest influence on material removal rate, followed by cutting speed then feed rate. Confirmation tests found less than 1% error between predicted and experimental material removal rates, validating the models.
3. The optimized parameters were found to be a cutting speed of 1900 rpm, depth of cut of 0.06 mm, and feed rate of 0.04 mm/rev, achieving a maximum material removal rate of 2.816 g
Optimization of input parameters of cnc turning operation for the given compIAEME Publication
This document summarizes a study that used Taguchi methods to optimize cutting parameters (spindle speed, feed rate, depth of cut) for CNC turning of an aluminum alloy component. The goals were to minimize surface roughness and dimensional variation. An L9 orthogonal array experiment was conducted, varying the three parameters at three levels each. Surface roughness and dimensional tolerance measurements were used as quality metrics. Analysis found that spindle speed most impacts dimensional variation while feed rate most influences surface roughness. The optimal combination of cutting parameters was identified to improve both surface roughness and dimensional tolerance.
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
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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 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.
“Gray Relational Based Analysis of Al-6351”iosrjce
IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of mechanical and civil engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in mechanical and civil engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
This document describes an experimental study on optimizing cutting parameters for milling aluminum alloy 6351. Experiments were conducted using an orthogonal array design with four cutting parameters (speed, feed, depth of cut, tool diameter) each at three levels. The objectives were to minimize surface roughness and maximize material removal rate. Gray relational analysis was used to determine the optimal cutting conditions for the combined objectives. The results showed that feed had the greatest influence on surface roughness, while speed had the least effect on material removal rate. This analysis method provides a means to optimize multiple performance characteristics simultaneously in milling.
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-Objective Optimization of Machining Parameters for Dry CNC Turnin...IRJET Journal
This document summarizes a study that used Grey Relation Analysis to optimize machining parameters for dry CNC turning of 16MnCr5 steel. Experiments were conducted using an L9 orthogonal array to examine the effects of cutting speed, feed rate, and depth of cut on surface roughness and material removal rate. Grey Relation Analysis was used to determine the optimal parameters that minimize surface roughness and maximize material removal rate. The analysis found that depth of cut has the greatest influence on the responses, followed by speed and then feed rate. The optimal parameters were determined to be a speed of 800 rpm, feed of 0.18 mm/rev, and depth of cut of 1.5 mm.
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.
Experimental Investigation and Parametric Studies of Surface Roughness Analys...IJMER
The modern machining industries are focused on achieving high quality, in terms of
part/component accuracy, surface finish, high production rate and increase in product life. Surface
roughness of machined components has received serious attention of researchers for many years. It has
been an important design feature and quality measure in machining process. There are a large number of
parameters which affect the surface roughness. The typical controllable parameters for the CNC machines
include cutting tool variables, work piece material variables, cutting conditions etc. The desired output is
surface roughness, material removal rate, tool wear, etc. Optimization of machining parameters needs to
determine the most significant parameter for required output. Many techniques are used for optimization
of machining parameters including Taguchi, RSM and ANOVA approach to determine most significant
parameter.
The present work is therefore in a direction to integrate effect of various parameters which affect
the surface roughness. This paper investigates the parameters affecting the surface roughness and / or
material removal rate with CNC turning process studied by researchers. It also discusses some other
parameters such as cutting force and power consumption in different conditions.
Experimental Investigation and Parametric Studies of Surface Roughness Analy...IJMER
The modern machining industries are focused on achieving high quality, in terms of part/component accuracy, surface finish, high production rate and increase in product life. Surface roughness of machined components has received serious attention of researchers for many years. It has
been an important design feature and quality measure in machining process. There are a large number of
parameters which affect the surface roughness. The typical controllable parameters for the CNC machines
include cutting tool variables, work piece material variables, cutting conditions etc. The desired output is
surface roughness, material removal rate, tool wear, etc. Optimization of machining parameters needs to
determine the most significant parameter for required output. Many techniques are used for optimization
of machining parameters including Taguchi, RSM and ANOVA approach to determine most significant
parameter. The present work is therefore in a direction to integrate effect of various parameters which affect
the surface roughness. This paper investigates the parameters affecting the surface roughness and / or
material removal rate with CNC turning process studied by researchers. It also discusses some other parameters such as cutting force and power consumption in different conditions
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.
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
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.
Investigations of machining parameters on surface roughness in cnc milling u...Alexander Decker
This document summarizes a study that investigated the effect of machining parameters on surface roughness in CNC milling of H-13 die steel using the Taguchi technique. The parameters examined were spindle speed, feed rate, and depth of cut. Experiments were conducted using an L9 orthogonal array. Surface roughness measurements showed that lower feed rates, higher spindle speeds, and greater depths of cut produced lower surface roughness values. Analysis of variance identified feed rate as the most influential parameter on surface roughness. The optimized parameters determined were a low feed rate of 0.08 mm/tooth, high spindle speed of 358.8 RPM, and high depth of cut of 0.3 mm.
Process Parametric Optimization of CNC Vertical Milling Machine Using Taguchi...IOSR Journals
Abstract- An experiment was conducted to perform the parametric optimization of CNC end milling machine
tool in varying condition. The tool used for experiment was of Solid Carbide and the Mild Steel work piece was
used during experiment. The experiment has been taken place efficiently and completes its all objective of
optimization. The practical result can be used in industry to get the desirable Surface Roughness and Material
Removal Rate for the work piece by using suitable parameter combination.
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.
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.
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 Cylindrical Grinding of Alloy Steel using desirability functi...IRJET Journal
1. The document summarizes research optimizing parameters for cylindrical grinding of alloy steel. It used Taguchi methods, response surface analysis, and grey relational analysis to determine optimal cutting speed, depth of cut, and feed rate to maximize material removal rate.
2. Analysis found depth of cut had the greatest influence on material removal rate, followed by cutting speed then feed rate. Confirmation tests found less than 1% error between predicted and experimental material removal rates, validating the models.
3. The optimized parameters were found to be a cutting speed of 1900 rpm, depth of cut of 0.06 mm, and feed rate of 0.04 mm/rev, achieving a maximum material removal rate of 2.816 g
Optimization of input parameters of cnc turning operation for the given compIAEME Publication
This document summarizes a study that used Taguchi methods to optimize cutting parameters (spindle speed, feed rate, depth of cut) for CNC turning of an aluminum alloy component. The goals were to minimize surface roughness and dimensional variation. An L9 orthogonal array experiment was conducted, varying the three parameters at three levels each. Surface roughness and dimensional tolerance measurements were used as quality metrics. Analysis found that spindle speed most impacts dimensional variation while feed rate most influences surface roughness. The optimal combination of cutting parameters was identified to improve both surface roughness and dimensional tolerance.
Similar to Milling machining GFRP composites using grey relational analysis and the response surface methodology approach (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.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELijaia
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
AI for Legal Research with applications, toolsmahaffeycheryld
AI applications in legal research include rapid document analysis, case law review, and statute interpretation. AI-powered tools can sift through vast legal databases to find relevant precedents and citations, enhancing research accuracy and speed. They assist in legal writing by drafting and proofreading documents. Predictive analytics help foresee case outcomes based on historical data, aiding in strategic decision-making. AI also automates routine tasks like contract review and due diligence, freeing up lawyers to focus on complex legal issues. These applications make legal research more efficient, cost-effective, and accessible.
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.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Rainfall intensity duration frequency curve statistical analysis and modeling...bijceesjournal
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.