International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Experimental Analysis of Material Removal Rate in Drilling of 41Cr4 by a Tagu...IJERA Editor
In manufacturing industries the largest amount of money spent on drills. Therefore, from the viewpoint of cost and productivity, modeling and optimization of drilling processes parameter are extremely important for the manufacturing industry this paper presents a detailed model for drilling process parameter. The detailed structure includes in the model, are three parameters such as such as Spindle Speed, feed and depth of cut on material removal rate in drilling of 41 Cr 4 material using HSS spiral drill .We an effect of this three parameters on material removal rate .The detailed mathematical model is simulated by Minitab14 and simulation results fit experiment data very well In this investigation, an effective approach based on Taguchi method, analysis of variance (ANOVA), multivariable linear regression (MVLR), has been developed to determine the optimum conditions leading to higher MRR. Experiments were conducted by varying Spindle Speed, feed and depth of cut using L9 orthogonal array of Taguchi method. The present work aims at optimizing process parameters to achieve high MMR. Experimental results from the orthogonal array were used as the training data for the MVLR model to map the relationship between process parameters and MMR the experiment was conducted on drilling machine. From the investigation It concludes that speed is most influencing parameter followed by feed and depth of cut on MRR
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
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.
Experimental Analysis of Material Removal Rate in Drilling of 41Cr4 by a Tagu...IJERA Editor
In manufacturing industries the largest amount of money spent on drills. Therefore, from the viewpoint of cost and productivity, modeling and optimization of drilling processes parameter are extremely important for the manufacturing industry this paper presents a detailed model for drilling process parameter. The detailed structure includes in the model, are three parameters such as such as Spindle Speed, feed and depth of cut on material removal rate in drilling of 41 Cr 4 material using HSS spiral drill .We an effect of this three parameters on material removal rate .The detailed mathematical model is simulated by Minitab14 and simulation results fit experiment data very well In this investigation, an effective approach based on Taguchi method, analysis of variance (ANOVA), multivariable linear regression (MVLR), has been developed to determine the optimum conditions leading to higher MRR. Experiments were conducted by varying Spindle Speed, feed and depth of cut using L9 orthogonal array of Taguchi method. The present work aims at optimizing process parameters to achieve high MMR. Experimental results from the orthogonal array were used as the training data for the MVLR model to map the relationship between process parameters and MMR the experiment was conducted on drilling machine. From the investigation It concludes that speed is most influencing parameter followed by feed and depth of cut on MRR
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
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.
“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.
Parametric analysis and multi objective optimization of cutting parameters in...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
Parametric analysis and multi objective optimization of cutting parameters in...eSAT Journals
Abstract Modern manufacturers, seeking to remain competitive in the market, rely on their Manufacturing engineers and production personnel to quickly and effectively set up manufacturing processes for new products. This paper presents the multi response optimization of turning parameters for Turning on AISI 4340 Alloy Steel. Experiments are designed and conducted based on Taguchi’s L27 Orthogonal array design. This paper discusses an investigation into the use of Taguchi parameter Design and Regression analysis to predict and optimize the Surface Roughness, Metal Removal Rate and Power Consumption in turning operations using CVD Cutting Tool. The Analysis of Variance (ANOVA) is employed to analyze the influence of Process Parameters during Turning. This paper also remarks the advantages of multi-objective optimization approach over the single-objective one. The useful results have been obtained by this research for other similar type of studies and can be helpful for further research works on the Tool life and Vibration of tools etc. Keywords: Turning, Ra, MRR, PC, Taguchi, Anova etc…
In this experimental study, an attempt is made to obtain optimum cutting parameters for turning
of mild steel on the basis of surface roughness and surface temperature. Optimization of cutting parameters is
very important to obtain a good machining quality of surface and to inhibit the increase of temperature.
Minimum Quantity Lubrication (MQL) has been introduced to avoid excessive use of cutting fluid. The
parameters considered here are cutting speed, feed and depth of cut. Optimal cutting parameters for each
performance measure were obtained employing Taguchi experimental method. To study the performance
characteristics in turning operation Analysis of Variance (ANOVA) was employed. It is found that cutting speed
and feed has significant effect on both surface roughness and temperature.
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.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
“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.
Parametric analysis and multi objective optimization of cutting parameters in...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
Parametric analysis and multi objective optimization of cutting parameters in...eSAT Journals
Abstract Modern manufacturers, seeking to remain competitive in the market, rely on their Manufacturing engineers and production personnel to quickly and effectively set up manufacturing processes for new products. This paper presents the multi response optimization of turning parameters for Turning on AISI 4340 Alloy Steel. Experiments are designed and conducted based on Taguchi’s L27 Orthogonal array design. This paper discusses an investigation into the use of Taguchi parameter Design and Regression analysis to predict and optimize the Surface Roughness, Metal Removal Rate and Power Consumption in turning operations using CVD Cutting Tool. The Analysis of Variance (ANOVA) is employed to analyze the influence of Process Parameters during Turning. This paper also remarks the advantages of multi-objective optimization approach over the single-objective one. The useful results have been obtained by this research for other similar type of studies and can be helpful for further research works on the Tool life and Vibration of tools etc. Keywords: Turning, Ra, MRR, PC, Taguchi, Anova etc…
In this experimental study, an attempt is made to obtain optimum cutting parameters for turning
of mild steel on the basis of surface roughness and surface temperature. Optimization of cutting parameters is
very important to obtain a good machining quality of surface and to inhibit the increase of temperature.
Minimum Quantity Lubrication (MQL) has been introduced to avoid excessive use of cutting fluid. The
parameters considered here are cutting speed, feed and depth of cut. Optimal cutting parameters for each
performance measure were obtained employing Taguchi experimental method. To study the performance
characteristics in turning operation Analysis of Variance (ANOVA) was employed. It is found that cutting speed
and feed has significant effect on both surface roughness and temperature.
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.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Effectiveness of multilayer coated tool in turning of aisi 430 f steeleSAT Journals
Abstract This paper presents minimization of surface roughness in dry turning of AISI 430F steel using TiN-TiCN-Al2O3-ZrCN multilayer coated cemented carbide & cryo-treated inserts. Effect of cutting velocity, feed rate, depth of cut & machining duration is studied on the surface roughness. Taguchi’s design of experiment is used to find the optimum factor levels. It is found that the feed rate has much effect in producing lower surface roughness followed by speed. The depth of cut has lesser role on surface roughness. The result of Taguchi method shows that cutting velocity of 250m/min, feed rate of 0.25 mm/rev and depth of cut of 0.3mm should be maintained as optimal parameter settings for both coated and cryo-treated tools. Cryo-treated tools perform better. Keywords: Cryo-treatment, Dry Turning, Surface roughness, Taguchi Method
The selection of optimal cutting parameters in turning operation is very important to
achieve high cutting performance. This paper deals with the optimization of performance
characteristics of turning EN-16 steel alloy using tungsten carbide inserts by Taguchi approach. The
experiments were performed on the basis of an L-18 orthogonal array given by Taguchi’s parameter
design approach. The performance characteristics such as thrust force and Material Removal Rate
(MRR) are optimized with the optimal combination of cutting parameters such as nose radius,
cutting speed, feed rate and depth of cut. Analysis of variance (ANOVA) is applied to identify the
most significant factor using MINITAB-16 software. The cutting parameters are varied to observe
the effects on performance characteristics and find the optimal results. Finally, confirmation tests are
performed to verify the experimental results. The results from the confirmation tests proved that the
performance characteristics such as thrust force and MRR are improved simultaneously through
optimal combination of process parameters obtained from Taguchi approach
Optimising drilling parameters of gfrp by using grey relational analysiseSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Taguchi Method for Optimization of Cutting Parameters in Turning OperationsIDES Editor
Surface roughness an indicator of surface quality is
one of the prime customer requirements for machined parts.
For efficient use of machine tools, optimum cutting
parameters are required. The turning process parameter
optimization is highly complex and time consuming. In this
paper taguchi parameter optimization methodology is applied
to optimize cutting parameters in turning. The turning
parameters evaluated are, cutting velocity, feed rate, depth of
cut, and nose radius of tool and hardness of the material each
at two levels. The results of analysis show that feed rate,
cutting velocity and nose radius have present significant
contribution on the surface roughness and depth of cut and
hardness of material have less significant contribution on the
surface roughness.
“Optimization of Cutting Parameters for Turning AISI 316 Stainless Steel Base...IOSRJMCE
The objective of this work is the optimization of the cutting parameters for turning AISI 316 stainless steel to achieve the better surface finish using Taguchi’s methodology. Taguchi Parameter Design is a powerful and efficient method for optimizing quality and performance output of manufacturing processes, thus a powerful tool for meeting this challenge. This work discusses an investigation into the use of Taguchi Parameter Design for optimizing surface roughness generated by a Turning operation. In this method, four control factors viz. cutting speed, feed rate, depth of cut, three different cutting fluids (sherol B, sherol ENF, straight cutting oil) and one work piece material (AISI 316 stainless steel) were investigated at three different levels and the turning operations are done on Banka 1000 lathe machine. Cutting speed followed by cutting fluid has the significant role. The quality characteristic identified is surface roughness. Experiments carried out using L9 (34 ) Orthogonal Array with three different levels of control factors.The test results were analyzed using “smallerthe-better” criteria for Signal-to-Noise ratio in order to optimize the process. The experimental results were analyzed, conformed and successfully used to achieve good surface finish on work piece materials.
Studies on material removal rate of al6061 while turning with coolant and wit...eSAT Journals
Abstract: Material Removal Rate (MRR) is one of the key attribute of machining process which influences productivity. In this work the effect of various turning process parameters on MRR produced on Al6061 (as cast condition) is investigated. Also, the effect of using coolant on MRR while turning is also determined. MRR is found to increase almost linearly with increase in feed rate. Increase in depth of cut and cutting speed is found to increase the MRR by 70.66 % and 16.36 % respectively. Keywords: Al6061, Material Removal Rate, Turning Process, Spindle Speed, Depth of Cut, ANOVA, Taguchi Method
Prediction of output Responses in Milling of Casted Aluminum by using ANNijiert bestjournal
The important goal in the modern industries is to m anufacture the products with lower cost and with hi gh quality in short span of time. There are two main p ractical problems that engineers face in a manufacturing process. The first is to determine th e values of process parameters that will yield the desired product quality (meet technical specificati ons) and the second is to maximize manufacturing system performance using the available resources. T he increase of customer needs for quality products (more precise tolerances and better product surface roughness) have driven the metal cutting process. The main objective of this project work is to study the effect of surface roughness and Material Removal R ate in a machining of cast aluminum on CNC milling mach ine with High Speed Steel cutting tool. The feasibility of implementation of design of experime nts (DOE),and Artificial Neural network in milling process is analyzed.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
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Gt3511931198
1. M. Adinarayana et al Int. Journal of Engineering Research and Application
ISSN : 2248-9622, Vol. 3, Issue 5, Sep-Oct 2013, pp.1193-1198
RESEARCH ARTICLE
www.ijera.com
OPEN ACCESS
Multi Objective Optimization during Turning of EN24 Alloy Steel
M. Adinarayana1, G. Prasanthi2, G. Krishnaiah3
1
(Assistant Professor, Department of mechanical Engineering, Sir Vishvesvaraiah Institute of Science &
Technology Angallu , Madanapalli)
2
(Professor, Department of Mechanical Engineering,JNTUA College of Engineering, JNTUA, Anantapuram)
3
(Professor, Department of Mechanical Engineering, SVU College of Engineering, S.V.University, Tirupati)
ABSTRACT
The paper envisages the study to optimize the effects of process variables on surface roughness, MRR and power
consumption of En24 of work material using PVD coated tool. In the present investigation the influence of
spindle speed, feed rate, and depth of cut were studied as process parameters. The experiments have been
conducted using full factorial design in the design of experiments (DOE) on a conventional lathe. A Model has
been developed using regression technique. The optimal cutting parameters for minimum surface roughness,
maximum MRR and minimum power consumption were obtained using Taguchi technique. The contribution of
various process parameters on response variables have been found by using ANOVA technique.
Keywords - En 24 alloy steel, PVD tool, DOE, Taguchi technique, ANOVA.
I.
INTRODUCTION
Increased in Productivity and machined part
quality characteristics are the main hinderness of metal
based industry [1]. Surface finish is the prime
requirement of the customer satisfaction and also
productivity which fulfills the customer demand. For
this purpose, quality of the product should be well
with in customer satisfaction and also productivity
should be high. In addition to the quality of the
product, the material removal rate (MRR) is also an
important characteristics in machining operation and
high MRR is always desirable [2]. To ensure the cost
of the final finished product, power consumption
should be as low as possible. Hence the objective of
the present work is to optimize spindle speed, feed and
depth of cut so as to minimize surface roughness, and
maximize MRR and minimize power consumption.
En 24 is a medium carbon low alloy steel and finds its
typical applications in the manufacture of automobile
and machine tool parts, low specific heat, tendency to
strain harden, and diffuse between tool and work
material En24 alloy steel gives rise to problems like
large cutting forces. High cutting tool temperatures ,
poor surface finish and built up edge formation[3]. In
today’s manufacturing industry, special attention is
given to surface finish and power consumption.
Traditionally the desired cutting parameters are
determined based on hands on experience [4]. Of the
many goals focused in manufacturing industry, power
consumption plays vital and dual role. One its cuts
down the cost per product and secondly the
environmental impact by reducing the amount of
carbon emissions that are created in using by electrical
energy.
www.ijera.com
II.
MATERIALS AND METHODS
2.1Specification of work material:
The work material used for the present study
is En 24 alloy steel. The chemical composition of the
work material is shown in Table 1.
2.2 Taguchi Method
Taguchi method is an effective tool in
designing of high quality system. It provides simple
efficient and systematic qualitative optimal design to
aid high performance, quality at a relatively low cost.
Conventional methods for experimental design are of
complex in nature and difficult to use. In addition to
that these methods require a large number of
experiments when the process parameters increase. In
order to minimize number of experiments, a powerful
tool has been designed for high quality system by
Taguchi. For determination of the best design it
requires the use of statistically designed experiment
[5].Taguchi approach in design of experiments is easy
to adapt and apply for uses with limited knowledge of
statistics and hence gained wide popularity in the
engineering and scientific community [6-7].The
cutting parameters ranges were selected based on
machining guidelines provided by manufacturer of
cutting tool manufacturers Kayocera. The control
factors and levels are shown in Table 2.
2.3Analysis of variance (ANOVA)
ANOVA is used to determine the influence of
any given process parameters from a series of
experimental results by design of experiments and it
can be used to interpret experimental data. Since there
will be large number of process variables which
control the process, some mathematical model are
require to represent the process. However these
models are to be develop using only the significant
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2. M. Adinarayana et al Int. Journal of Engineering Research and Application
ISSN : 2248-9622, Vol. 3, Issue 5, Sep-Oct 2013, pp.1193-1198
parameters which influences the process, rather than
including all the parameters. In order to achieves this,
statistical analysis the experimental results will be
processed using analysis of variance (ANOVA) [8].
III.
EXPERIMENTATION AND
MATHEMATICAL MODELLING
The experiment is conducted for Dry turning
operation of using EN24 Alloy steel as work material
and PVD as tool material on a conventional lathe PSG
A141. The tests were carried for a 500 mm length
work material. The process parameters used as spindle
speed (rpm), feed (mm/rev), depth of cut (mm). The
response variables are Surface roughness, material
removal rate and power consumption, The
experimental results were recorded in Table 3. Surface
roughness of machined surface has been measured by
a stylus (surftest SJ201-P) instrument and power
consumption is measured by using Watt meter.
Material removal rate is calculated by following
formula.
MRR = (Initial weight - final weight) / Density x
Time
Where Density of EN 24 material = 7.85 gm/cc
Surface roughness need to the minimum for good
quality product
(Lower is the better)
The surface roughness, Ra
IV.
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Min Ra (s, f, d)
Minimizing
Ra 3.158 S 0.135 f
0.110
d 0.105 … (3.1)
MRR need to be maximum for increasing the
production rate
(Higher is the better)
The material removal rate, MRR
Max MRR (s, f, d)
Maximizing
MRR 0.003 S 1.23 f
0.675
d 0.181 … (3.2)
Power consumption need to be minimum for reducing
the cost of finished product,
(Lower is the better)
The Power consumption, PC
Min PC (s, f, d)
Minimizing
PC 0.053 S 1.01 f
0.472
d 0.156 …
(3.3)
Ranking of various process parameters for the desired
conditions of surface roughness, material removal rate
and power consumption shown in Tables 4,5 and 6.
And the percentage contributions of various process
parameters on response variables such as surface
roughness, material removal rate and power
consumption were shown in Tables 7,8and 9.
TABLES AND FIGURES
Table 1: Chemical composition of EN 24 alloy steel
Si
Mn
S
P
Cr
Element
C
Composition
0.38-0.43
0.15-0.30
Level
1
2
3
0.60-0.80
0.040
0.035
Ni
0.70-0.90
Mo
1.65-2.00
0.20-0.30
Table 2: Process parameters and their levels
Speed (s)
Feed rate(f)
Depth of cut(d)
(rpm)
(mm/rev)
(mm)
740
0.09
0.15
580
0.07
0.10
450
0.05
0.05
Table 3: Experimental data and results for 3 parameters, corresponding Ra, MRR and PC for
PVD tool
Power
Surface
Material
Speed, s
Feed, f
Depth of
Consumed
S.No
Roughness
removal rate
(rpm)
(mm/rev)
cut, (mm)
(kw)
Ra (µm)
(mm3/min)
1
740
0.09
0.15
3.0598
0.514286
2
740
3
740
4
0.09
0.1
3.9465
0.636364
12.035
0.09
0.05
6.1885
0.553846
8.37689
740
0.07
0.15
3.0729
0.292683
10.91348
5
740
0.07
0.1
3.4368
0.27907
9.56774
6
740
0.07
0.05
6.5319
0.404494
6.53712
7
740
0.05
0.15
6.1136
0.542169
9.164832
8
740
0.05
0.1
3.4316
0.350877
7.66528
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12.26053
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3. M. Adinarayana et al Int. Journal of Engineering Research and Application
ISSN : 2248-9622, Vol. 3, Issue 5, Sep-Oct 2013, pp.1193-1198
www.ijera.com
9
740
0.05
0.05
5.1471
0.705882
4.89326
10
580
0.09
0.15
6.3332
0.292683
6.457821
11
580
0.09
0.1
5.1596
0.677419
5.01187
12
580
0.09
0.05
3.8766
1.037037
7.286254
13
580
0.07
0.15
7.8758
0.336
7.848
14
580
0.07
0.1
3.4517
0.677419
6.72485
15
580
0.07
0.05
3.9452
0.194805
8.766383
16
580
0.05
0.15
5.8248
0.393443
5.80663
17
580
0.05
0.1
2.6401
0.32345
4.361176
18
580
0.05
0.05
4.0198
0.224439
5.445271
19
450
0.09
0.15
4.2968
0.314136
7.659078
20
450
0.09
0.1
5.863
0.48913
4.970542
21
450
0.09
0.05
3.7452
0.157068
6.541089
22
450
0.07
0.15
3.5772
0.339623
3.792101
23
450
0.07
0.1
3.5979
0.327869
4.56132
24
450
0.07
0.05
3.6215
0.218182
5.541289
25
450
0.05
0.15
6.504
0.26087
6.42373
26
450
0.05
0.1
4.1852
0.257143
5.37698
27
450
0.05
0.05
2.5687
0.083916
3.709838
Table 4: Response Table for Signal to Noise Ratios for PVD tool [Ra]
Level
Speed(S)
Feed(f)
Depth of Cut(d)
1
-12.20
-12.60
-12.55
2
-13.16
-12.31
-11.75
3
-12.77
-13.22
-13.83
Delta(max-min)
0.97
0.92
2.08
Rank
2
3
1
Table 5: Response Table for Signal to Noise Ratio for PVD tool [MRR]
Level
Speed(S)
Feed(f)
Depth of Cut(d)
1
-12.181
-10.368
-10.413
2
-7.965
-9.886
-7.597
3
-6.877
-6.769
-9.014
Delta(max-min)
5.304
3.599
2.816
Rank
1
2
3
Level
1
2
3
Delta(max-min)
Rank
Table 6: Response Table for Signal to Noise Ratio for PVD tool [PC]
Speed(S)
Feed(f)
Depth of Cut(d)
-14.41
-15.07
-15.77
-15.95
-16.62
-16.00
-18.81
-17.47
-17.40
4.39
2.39
1.62
1
2
3
Table 7: ANOVA for the response surface roughness (Ra) on PVD tool
SUM OF
MEAN OF
% OF
SOURCE
DOF
SQUARES
SQUARES
F RATIO
CONTRIBUTION
Speed(S)
2
1.494399
0.7471995
0.201548
6.72979001
Feed(F)
2
0.635909
0.3179545
0.085764
2.86371581
DOC(D)
2
6.831865
3.4159325
0.921404
30.7662257
SXF
4
3.202954
0.8007385
0.215989
14.4239978
SXD
4
1.847163
0.4617908
0.124562
8.31840701
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4. M. Adinarayana et al Int. Journal of Engineering Research and Application
ISSN : 2248-9622, Vol. 3, Issue 5, Sep-Oct 2013, pp.1193-1198
FXD
ERROR
TOTAL
4
8
26
8.193438
29.65849
22.20573
2.0483595
3.7073112
0.552519
www.ijera.com
36.8978547
100
Table 8: ANOVA for the response Material removal rate (MRR) on PVD tool
SUM OF
MEAN OF
% OF
SOURCE
DOF
SQUARES
SQUARES
F RATIO
CONTRIBUTION
Speed(S)
2
0.232972
0.116486
1.693354
39.1905918
Feed(F)
2
0.181899
0.0909495
1.322131
30.5990825
DOC(D)
2
0.030228
0.015114
0.219712
5.0849596
SXF
4
0.003399
0.0008498
0.012353
0.57178039
SXD
4
0.137133
0.0342833
0.498375
23.0685379
FXD
4
0.008828
0.002207
0.032083
1.48504775
ERROR
8
0.550321
0.0687901
TOTAL
26
0.594459
100
SOURCE
Speed(S)
Feed(F)
DOC(D)
SXF
SXD
FXD
ERROR
Table 9: ANOVA for the response Power Consumed on PVD tool
SUM OF
MEAN OF
% OF
DOF
SQUARES
SQUARES
F RATIO
CONTRIBUTION
2
63.8412
31.9206
7.194574
9.901974
2
17.98143
8.990715
2.026415
16.80153
2
10.59735
5.298675
1.194267
59.65207
4
0.507796
0.126949
0.028613
0.474475
4
13.57496
3.39374
0.764914
12.6842
4
0.51991
0.129978
0.029296
0.485795
8
35.49408
4.43676
TOTAL
26
107.0226
100
Main Effect plot Analysis:
Figure 3: Interaction data means for Surface
roughness (Ra) on PVD tool
Figure 1: Plots of main effects for means for Surface
roughness (Ra) on PVD tool
Figure 2: S/N ratio for Surface roughness (Ra) on
PVD tool
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Figure 4: Plots of main effects for means
for Material removal rate on PVD tool
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5. M. Adinarayana et al Int. Journal of Engineering Research and Application
ISSN : 2248-9622, Vol. 3, Issue 5, Sep-Oct 2013, pp.1193-1198
Figure 5: S/N ratio for Material removal rate on PVD
tool
Figure 9: Interaction data means for Power
Consumed on PVD tool
V.
Figure 6: Interaction data means for Material removal
rate on PVD tool
Figure 7: Plots of main effects for means for Power
Consumed on PVD tool
ANALYSIS OF RESULTS
In the Taguchi method the results of the
experiments are analyzed to achieve one or more of
the following three objectives:
a) To establish the best or the optimum condition for
a product or a process.
b) To estimate the contribution of individual factors.
c) To estimate the response under the optimum
conditions.
Studying the main effects of each of the
factors identifies the optimum condition (Figures 1 to
9). The process involves minor arithmetic
manipulation of the numerical result and usually can
be done with the help
of a simple calculator. The main effects indicate the
general trend of the influence of the factors.
Knowing the characteristic i.e. whether a higher or
lower value produces the preferred result, the levels
of the factors, which are expected to produce the best
results, can be predicted.
The knowledge of the contribution of
individual factors is the key to deciding the nature of
the control to be established on a production process.
The analysis of variance (ANOVA) is the statistical
treatment most commonly applied to the results of
the experiment to determine the percent contribution
of each factor. Study of the ANOVA table for a given
analysis helps to determine which of the factors need
control and which do not. In this study, an L27
orthogonal array with was used.
VI.
Figure 8: S/N ratio for Power Consumed on PVD tool
www.ijera.com
www.ijera.com
CONCLUSION
The results obtained in this study lead to
conclusions for turning of EN 24 after conducting the
experiments and analyzing the resulting data.
1) From the results obtained by experiment, the
influence of surface roughness (Ra), Material
Removal Rate (MRR) and Power Consumption
(PC) by the cutting parameters like speed, feed,
DOC is
a) The feed rate has the variable effect on surface
roughness, cutting speed and depth of cut an
approximate decreasing trend.
b) Cutting speed, feed rate and depth of cut for
Material Removal Rate have increasing trend.
c) Power Consumption is increase with increase
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6. M. Adinarayana et al Int. Journal of Engineering Research and Application
ISSN : 2248-9622, Vol. 3, Issue 5, Sep-Oct 2013, pp.1193-1198
in cutting speed, feed rate and depth of cut.
2) For the design of Experiments, Taguchi method is
applied for finding optimal cutting parameters of
cutting parameters
a) For minimum surface roughness, the
optimality conditions are: Speed: 580 rpm,
Feed: 0.09 mm/rev, and Depth of cut: 0.15 mm
b) For maximum material removal rate, the
optimality conditions are: Speed: 740rpm,
Feed: 0.09 mm/rev, and Depth of cut: 0.10 mm
c) For minimum power consumption, the
optimality conditions are: Speed: 740 rpm,
Feed: 0.09 mm/rev, and Depth of cut: 0.15 mm
3) Analysis of Variance (ANOVA) is done and
found that it shows :
a) The depth of cut has great influence for the
response surface roughness (30.76%), Speed
has great influence for the response Material
removal rate (39.19%) , Depth of cut has great
influence for the response Power consumption
(59.65%).
b). The interaction of cutting parameters is also
studied for the three responses Ra, MRR
and PC as follows :
(i) For minimum surface roughness, the
percentage contributions of various interacting
parameters are: speed x feed : 14.42%; speed x
depth of cut : 8.31% ; feed x depth of cut :
36.89%
(ii) For maximum material removal rate, the
percentage contributions of various interacting
parameters are: speed x feed : 0.57%; speed x
depth of cut : 23.06% ; feed x depth of cut :
1.48%
(iii) For minimum power consumption, the
percentage contributions of various interacting
parameters are: speed x feed : 0.47%; speed x
depth of cut : 12.68% ; feed x depth of cut :
0.48%.
4) Using the experimental data, a multi linear
regression model is developed for the responses
Ra, MRR and PC.
This research highlighted the use of Taguchi
design
of
experiments
and
analysis
of
variance(ANOVA). In the present study, the process
parameters such as spindle speed, feed and depth of
cut is considered. Further the study may be extended
for more parameters such as nose radius, rake angle,
introduction of cutting fluids etc.
[3]
[4]
[5]
[6]
[7]
[8]
www.ijera.com
8”.International
journal
of
current
Engineering and Technology vol 1, Dec
2011.
Hari singh, Pradeep kumar”. Optimizing
cutting forces for turned parts by Taguchi
parameters design approach”, Indian journal
of Engineering and Material science vol-12
April 2005 PP97-103.
Yang H , Tang Y.S (1988), Design of
Optimization of cutting parameters for
turning operation based on Taguchi method,
Journal of material processing technology
vol84, 122-129.
Erasan
Alsan,
Necip
CamscuBurak
Bingoren, Design of optimization of cutting
parameters When turning hardened AISI
4140 steel (63 HRC) with Al2O3+ TiCN
mixed ceramic tool, material and design,
date received 21.07.2005 and date accepted
06.01.2006.
6.D.C.Montgomentry,Design and analysis of
experiments, 4th edition, New york:
Wiley;1997.
N. Nalbant, H.Gokkaya, G.Sur, Application
of Taguchi method in the optimization of
cutting parameters for surface roughness in
turning, material and design, date received
21.07.2006 and date accepted 06.01.2006.
Rahul Davis, Jitentdra Singh Madhukar,
Vikash Singh Rana, and Prince Singh.,
Optimization of cutting parameters in Dry
turning operation of EN24 steel .
International
journal
of
Emerging
technology
and Advanced engineering
website www.ijetae.com (ISSN 2250-2459,
Volume 2, Issue 10,October2012).
REFERENCES
[1]
[2]
Mahendra
korat,
Neeraj
Agarwal,
Optimization of different Machining
parameters of En 24 Alloy steel in CNC
Turning by use of Taguchi method”.
International journal of engineering research
and application. ISSN: 2248-9622[VOL 2].
Hardeep singh, Rajesh khanna ,M.P. Gary”.
Effect of Cutting Parameters on MRR and
Surface Roughness, in Turning En-
www.ijera.com
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