Application of the Entropy Weight and TOPSIS ... - Semantic Scholar
International Journal of Manufacturing, Materials, and Mechanical Engineering, 4(4), 49-63, Oct.-Dec. 2014 49
Application of the Entropy Weight and TOPSIS Method on Al–12% SiC Metal Matrix Composite during EDM Rajesh Kumar Bhuyan, KIIT University, Bhubaneswar, India Arun Kumar Parida, KIIT University, Bhubaneswar, India Bharat Chandra Routara, KIIT University, Bhubaneswar, India
ABSTRACT The objective of this paper is to find the optimum combination on different machining characteristics during electrical discharge machining process of Al-12%SiC Metal matrix composite. Central composite design (CCD) method is used to investigate the effect of three process parameters such as peak current (Ip), pulse on time (Ton), flushing pressure (Fp) on the four response parameters like Material removal rate (MRR), Tool wear rate (TWR), Radial over cut (ROC) and Surface roughness (SR). The multiple objective problems of machining characteristics are optimized by a combine approach of Technique for order preference by similarity to an ideal solution (TOPSIS) and entropy weight measurement method. The Analysis of Variance (ANOVA) is implemented to identify the statistically significant of the Closeness-coefficient results. Finally confirmation test is conducted to compare the experimental data and the predicted data at its optimum parameter to identify the effectiveness of the proposed method. Keywords:
Aluminum Metal Matrix Composites, ANOVA, Entropy Weight Measurement Method, Radial over cut (ROC), TOPSIS
INTRODUCTION Metal matrix composite (MMC) materials are mostly used for different applications like automotive, aerospace, defence, sports, electrical appliance and other industries. The composite materials mainly consist of matrix and reinforcement, its main function is to transfer and
distributes the load to the reinforcement. The transfer of load depends on the bonding between matrix and reinforcement with its fabrication technique. The Aluminium alloys are quite attractive due to their low density, high damping capacity, capability of strengthened by precipitation, good corrosion resistance, with high thermal and electrical conductivity. When
DOI: 10.4018/ijmmme.2014100104 Copyright © 2014, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.
50 International Journal of Manufacturing, Materials, and Mechanical Engineering, 4(4), 49-63, Oct.-Dec. 2014
this Aluminium alloy is reinforced with ceramic like SiC to form a metal matrix composite its physical and mechanical properties increased in compare to the strength and stiffness offered by other conventional material (Muthukrishnan & Davim, 2011). Recently Electric discharge machine (EDM) is used in most of the manufacturing industry to machining both conventional and composite materials. The Electric discharge machine is based on the principle of thermoelectric energy .Where the material is removed by successive electrical discharges between the electrode and the work piece. During this machining process a discharge channel is created where the temperature reaches approximately 10,0000C. Due to this high temperature the material is removed by the action of evaporation and melting from both the electrode and the work piece. The optimum material removal is only possible by selecting the suitable machining parameters as per the work piece material (Garg et al., 2010).
LITERATURE REVIEW In the past, researcher are employed various optimization technique to improved the machining characteristics during the EDM process. Hung, Yang, and Leong (1994). in their study described that aluminium alloys are light weight in compare to monolithic material when it is reinforced with SiC to form an aluminium metal matrix composite. Ji et al. (2012) expressed their view that Al-SiC composite is one of the advance composite material that posses superior physical and mechanical properties in compare to other conventional material. Patel, Pandey, and Rao (2009) studied about the machining characteristics, surface integrity and material removal mechanism of Al2O3–SiCw–TiC ceramic composite during EDM. They found that surface roughness increases with discharge current and pulse on time as well as it provides the key information on the mechanisms of formation of recast layer. Dhar et al. (2007) conducted an experiment during EDM process, in which
pulse current, pulse duration and gap voltage are selected as process parameters that affect material removal rate, tool wear rate, radial over cut and surface roughness of Al–4Cu–6Si alloy with 10 wt.% SiC composites. They stated that material removal rate, tool wear rate and radial over cut are increased significantly with current. Also the mathematical model equations are developed to predict the optimal conditions suitable for the selected model. Karthikeyan, Narayanan, and Naagarazan (1999) used the three level full factor design to developed the mathematical models for the responses like material removal rate, tool wear rate and surface roughness using the process parameters such as current, pulse duration and the percent volume fraction of SiC during the EDM machining of LM25 aluminium-SiC metal matrix composite. They concluded that material removal rate is decreases with increase in the percentage volume of SiC, while the tool wear rate and the surface roughness are increases with an increase in percentage volume of SiC .Also the model significance is checked and analyzed by ANOVA.Mohan, Rajadurai, and Satyanarayana (2004) conducted an experimental study by using rotary EDM with hollow tube electrode to drill Al6025-SiC composite. They found that material removal rate is higher in rotating tube electrode in compare to solid electrode. Furthermore explained that the increase in percentage of volume SiC, the material removal rate and surface roughness are decreases but electrode wear rate is increases. Shandilya et al. (2012) used the Response Surface methodology and ANOVA technique to optimize the process parameters of Al 6061-SiC metal matrix composite during WEDM. They are studied the microstructure of the machining surface through scanning electron microscopic. Singh (2012) used the Taguchi’s L18 orthogonal array and grey relational analysis to investigate the effects of process parameters such as pulse current, pulse on time, duty cycle, gap voltage and tool electrode lift time for the responses like material removal rate, tool wear rate and surface roughness during the EDM process of 6061Al/Al2O3/20P composites. According to
Copyright © 2014, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.
13 more pages are available in the full version of this document, which may be purchased using the "Add to Cart" button on the product's webpage: www.igi-global.com/article/application-of-the-entropy-weightand-topsis-method-on-al12-sic-metal-matrix-compositeduring-edm/122890?camid=4v1
This title is available in InfoSci-Journals, InfoSci-Journal Disciplines Engineering, Natural, and Physical Science. Recommend this product to your librarian: www.igi-global.com/e-resources/libraryrecommendation/?id=2
Related Content Guiding Principles for Hygienic Design of Evaporators to Mitigate Contamination-Related Risks in Air Blast Freezing Systems Frank Theo Moerman and Kostadin Fikiin (2015). Handbook of Research on Advances and Applications in Refrigeration Systems and Technologies (pp. 490-542).
www.igi-global.com/chapter/guiding-principles-for-hygienic-design-ofevaporators-to-mitigate-contamination-related-risks-in-air-blast-freezingsystems/136758?camid=4v1a CMAC Based Hybrid Control System for Solving Electrohydraulic System Nonlinearities Amro Shafik, Magdy Abdelhameed and Ahmed Kassem (2014). International Journal of Manufacturing, Materials, and Mechanical Engineering (pp. 47-72).
www.igi-global.com/article/cmac-based-hybrid-control-system-for-solvingelectrohydraulic-system-nonlinearities/115947?camid=4v1a
Cold Thermal Energy Storage Franc Franc Kosi, Branislav Zivkovic, Mirko S. Komatina, Dragi Antonijevic, Mohamed Abdul Galil and Uros Milorad Milovancevic (2015). Handbook of Research on Advances and Applications in Refrigeration Systems and Technologies (pp. 752-783).
www.igi-global.com/chapter/cold-thermal-energystorage/136764?camid=4v1a Simulation and Reliability Analysis of Laser-Welded Blanks after Metal Surface Finishing Process Tanmay Pandit and Ahad Ali (2012). International Journal of Manufacturing, Materials, and Mechanical Engineering (pp. 1-11).
www.igi-global.com/article/simulation-reliability-analysis-laserwelded/73924?camid=4v1a
Application of the Entropy Weight and TOPSIS Method on Al–12% SiC Metal Matrix Composite during EDM Rajesh Kumar Bhuyan, KIIT University, Bhubaneswar, India Arun Kumar Parida, KIIT University, Bhubaneswar, India Bharat Chandra Routara, KIIT University, Bhubaneswar, India
ABSTRACT The objective of this paper is to find the optimum combination on different machining characteristics during electrical discharge machining process of Al-12%SiC Metal matrix composite. Central composite design (CCD) method is used to investigate the effect of three process parameters such as peak current (Ip), pulse on time (Ton), flushing pressure (Fp) on the four response parameters like Material removal rate (MRR), Tool wear rate (TWR), Radial over cut (ROC) and Surface roughness (SR). The multiple objective problems of machining characteristics are optimized by a combine approach of Technique for order preference by similarity to an ideal solution (TOPSIS) and entropy weight measurement method. The Analysis of Variance (ANOVA) is implemented to identify the statistically significant of the Closeness-coefficient results. Finally confirmation test is conducted to compare the experimental data and the predicted data at its optimum parameter to identify the effectiveness of the proposed method. Keywords:
Aluminum Metal Matrix Composites, ANOVA, Entropy Weight Measurement Method, Radial over cut (ROC), TOPSIS
INTRODUCTION Metal matrix composite (MMC) materials are mostly used for different applications like automotive, aerospace, defence, sports, electrical appliance and other industries. The composite materials mainly consist of matrix and reinforcement, its main function is to transfer and
distributes the load to the reinforcement. The transfer of load depends on the bonding between matrix and reinforcement with its fabrication technique. The Aluminium alloys are quite attractive due to their low density, high damping capacity, capability of strengthened by precipitation, good corrosion resistance, with high thermal and electrical conductivity. When
DOI: 10.4018/ijmmme.2014100104 Copyright © 2014, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.
50 International Journal of Manufacturing, Materials, and Mechanical Engineering, 4(4), 49-63, Oct.-Dec. 2014
this Aluminium alloy is reinforced with ceramic like SiC to form a metal matrix composite its physical and mechanical properties increased in compare to the strength and stiffness offered by other conventional material (Muthukrishnan & Davim, 2011). Recently Electric discharge machine (EDM) is used in most of the manufacturing industry to machining both conventional and composite materials. The Electric discharge machine is based on the principle of thermoelectric energy .Where the material is removed by successive electrical discharges between the electrode and the work piece. During this machining process a discharge channel is created where the temperature reaches approximately 10,0000C. Due to this high temperature the material is removed by the action of evaporation and melting from both the electrode and the work piece. The optimum material removal is only possible by selecting the suitable machining parameters as per the work piece material (Garg et al., 2010).
LITERATURE REVIEW In the past, researcher are employed various optimization technique to improved the machining characteristics during the EDM process. Hung, Yang, and Leong (1994). in their study described that aluminium alloys are light weight in compare to monolithic material when it is reinforced with SiC to form an aluminium metal matrix composite. Ji et al. (2012) expressed their view that Al-SiC composite is one of the advance composite material that posses superior physical and mechanical properties in compare to other conventional material. Patel, Pandey, and Rao (2009) studied about the machining characteristics, surface integrity and material removal mechanism of Al2O3–SiCw–TiC ceramic composite during EDM. They found that surface roughness increases with discharge current and pulse on time as well as it provides the key information on the mechanisms of formation of recast layer. Dhar et al. (2007) conducted an experiment during EDM process, in which
pulse current, pulse duration and gap voltage are selected as process parameters that affect material removal rate, tool wear rate, radial over cut and surface roughness of Al–4Cu–6Si alloy with 10 wt.% SiC composites. They stated that material removal rate, tool wear rate and radial over cut are increased significantly with current. Also the mathematical model equations are developed to predict the optimal conditions suitable for the selected model. Karthikeyan, Narayanan, and Naagarazan (1999) used the three level full factor design to developed the mathematical models for the responses like material removal rate, tool wear rate and surface roughness using the process parameters such as current, pulse duration and the percent volume fraction of SiC during the EDM machining of LM25 aluminium-SiC metal matrix composite. They concluded that material removal rate is decreases with increase in the percentage volume of SiC, while the tool wear rate and the surface roughness are increases with an increase in percentage volume of SiC .Also the model significance is checked and analyzed by ANOVA.Mohan, Rajadurai, and Satyanarayana (2004) conducted an experimental study by using rotary EDM with hollow tube electrode to drill Al6025-SiC composite. They found that material removal rate is higher in rotating tube electrode in compare to solid electrode. Furthermore explained that the increase in percentage of volume SiC, the material removal rate and surface roughness are decreases but electrode wear rate is increases. Shandilya et al. (2012) used the Response Surface methodology and ANOVA technique to optimize the process parameters of Al 6061-SiC metal matrix composite during WEDM. They are studied the microstructure of the machining surface through scanning electron microscopic. Singh (2012) used the Taguchi’s L18 orthogonal array and grey relational analysis to investigate the effects of process parameters such as pulse current, pulse on time, duty cycle, gap voltage and tool electrode lift time for the responses like material removal rate, tool wear rate and surface roughness during the EDM process of 6061Al/Al2O3/20P composites. According to
Copyright © 2014, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.
13 more pages are available in the full version of this document, which may be purchased using the "Add to Cart" button on the product's webpage: www.igi-global.com/article/application-of-the-entropy-weightand-topsis-method-on-al12-sic-metal-matrix-compositeduring-edm/122890?camid=4v1
This title is available in InfoSci-Journals, InfoSci-Journal Disciplines Engineering, Natural, and Physical Science. Recommend this product to your librarian: www.igi-global.com/e-resources/libraryrecommendation/?id=2
Related Content Guiding Principles for Hygienic Design of Evaporators to Mitigate Contamination-Related Risks in Air Blast Freezing Systems Frank Theo Moerman and Kostadin Fikiin (2015). Handbook of Research on Advances and Applications in Refrigeration Systems and Technologies (pp. 490-542).
www.igi-global.com/chapter/guiding-principles-for-hygienic-design-ofevaporators-to-mitigate-contamination-related-risks-in-air-blast-freezingsystems/136758?camid=4v1a CMAC Based Hybrid Control System for Solving Electrohydraulic System Nonlinearities Amro Shafik, Magdy Abdelhameed and Ahmed Kassem (2014). International Journal of Manufacturing, Materials, and Mechanical Engineering (pp. 47-72).
www.igi-global.com/article/cmac-based-hybrid-control-system-for-solvingelectrohydraulic-system-nonlinearities/115947?camid=4v1a
Cold Thermal Energy Storage Franc Franc Kosi, Branislav Zivkovic, Mirko S. Komatina, Dragi Antonijevic, Mohamed Abdul Galil and Uros Milorad Milovancevic (2015). Handbook of Research on Advances and Applications in Refrigeration Systems and Technologies (pp. 752-783).
www.igi-global.com/chapter/cold-thermal-energystorage/136764?camid=4v1a Simulation and Reliability Analysis of Laser-Welded Blanks after Metal Surface Finishing Process Tanmay Pandit and Ahad Ali (2012). International Journal of Manufacturing, Materials, and Mechanical Engineering (pp. 1-11).
www.igi-global.com/article/simulation-reliability-analysis-laserwelded/73924?camid=4v1a
