Multi-objective optimization in titanium powder mixed electrical discharge machining process parameters for die steels
In this paper, it has been proposed a viable optimal solution for achieving multi-objective optimization in powder mixed electrical discharge machining (PMEDM) process parameters, using titanium powder. Taguchi–AHP–Deng’s method is used to solve the multi-criteria decision making (MCDM) problem for...
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Published in | Alexandria engineering journal Vol. 59; no. 6; pp. 4063 - 4079 |
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Format | Journal Article |
Language | English |
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Elsevier B.V
01.12.2020
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Abstract | In this paper, it has been proposed a viable optimal solution for achieving multi-objective optimization in powder mixed electrical discharge machining (PMEDM) process parameters, using titanium powder. Taguchi–AHP–Deng’s method is used to solve the multi-criteria decision making (MCDM) problem for this technology. The process parameters selected are workpiece material, electrode material, electrode polarity, pulse on time (Ton), pulse off time (Tof), current (I), and powder concentration. The material removal rate (MRR), tool wear rate (TWR), surface roughness (SR), hardness surface (HV), and white layer thickness (WLT) were determined simultaneously. The results showed that the optimal material for the workpiece is SKD11 die steel; the optimal material for the electrode is Gr; and the polarity of the electrode should be positive. The optimal values for the other process parameters were determined to be Ton = 20 μs, Tof = 57 μs, and I = 8 A, and that for the powder concentration was 10 g/l. The quality criteria for the optimal process parameters were determined to be MRR = 59.669 mm3/min, TWR = 14.073 mm3/min, SR = 4.45 μm, HV = 907.64 HV and WLT = 8.56 μm. The results were verified through experiments, which revealed a good accuracy (error ≈ 11.67%). The white-layer formation on the machined surface was reduced using titanium powder-based PMEDM for die steel at the optimal conditions. The results showed that Deng’s similarity method is the most suitable for MCDM in PMEDM using titanium powder. |
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AbstractList | In this paper, it has been proposed a viable optimal solution for achieving multi-objective optimization in powder mixed electrical discharge machining (PMEDM) process parameters, using titanium powder. Taguchi–AHP–Deng’s method is used to solve the multi-criteria decision making (MCDM) problem for this technology. The process parameters selected are workpiece material, electrode material, electrode polarity, pulse on time (Ton), pulse off time (Tof), current (I), and powder concentration. The material removal rate (MRR), tool wear rate (TWR), surface roughness (SR), hardness surface (HV), and white layer thickness (WLT) were determined simultaneously. The results showed that the optimal material for the workpiece is SKD11 die steel; the optimal material for the electrode is Gr; and the polarity of the electrode should be positive. The optimal values for the other process parameters were determined to be Ton = 20 μs, Tof = 57 μs, and I = 8 A, and that for the powder concentration was 10 g/l. The quality criteria for the optimal process parameters were determined to be MRR = 59.669 mm3/min, TWR = 14.073 mm3/min, SR = 4.45 μm, HV = 907.64 HV and WLT = 8.56 μm. The results were verified through experiments, which revealed a good accuracy (error ≈ 11.67%). The white-layer formation on the machined surface was reduced using titanium powder-based PMEDM for die steel at the optimal conditions. The results showed that Deng’s similarity method is the most suitable for MCDM in PMEDM using titanium powder. |
Author | Huu, Phan-Nguyen |
Author_xml | – sequence: 1 givenname: Phan-Nguyen surname: Huu fullname: Huu, Phan-Nguyen email: nguyenhuuphan@haui.edu.vn organization: Faculty of Mechanical Engineering, Hanoi University of Industry, Viet Nam |
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Cites_doi | 10.1016/j.ijmachtools.2016.12.005 10.1080/10910344.2017.1283957 10.1016/j.measurement.2014.09.029 10.1007/s00170-016-9130-2 10.1504/IJPQM.2018.092984 10.1007/s12633-018-9877-1 10.1016/j.matpr.2017.02.051 10.1016/j.measurement.2018.09.038 10.1016/j.measurement.2014.11.025 10.1515/meceng-2016-0003 10.1016/j.matpr.2017.05.042 10.1088/2053-1591/ab1ae0 10.1016/j.eswa.2011.01.026 10.1016/j.measurement.2018.01.057 10.1016/j.proeng.2013.09.163 10.3311/PPme.10431 10.1016/j.measurement.2018.03.076 10.1007/s13369-019-03978-5 10.1007/s00170-013-5274-5 10.1007/s40092-015-0112-z 10.1080/10426914.2016.1176182 10.1007/s00170-007-1061-5 10.1016/j.jclepro.2019.117894 10.1016/j.ijmachtools.2006.08.026 10.1016/j.measurement.2018.04.096 10.7736/KSPE.2019.36.9.793 |
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Keywords | Powder mixed electrical discharge machining Multi-objective optimization Deng’s similarity-based method Multi-criteria decision making |
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References | Khanna, Kumar, Garg, Singh, Sharma (b0105) 2015; 11 Sakthivel, Saravanakumar, Muthuramalingam (b0165) 2018; 24 Muniappan, Jaivaakheish, Jayakumar, Arunagiri, Senthilkumar (b0095) 2018; 402 Tiwary, Pradhan, Bhattacharyya (b0055) 2014; 2 Gadakh (b0075) 2012; 7 Tripathy, Tripathy (b0010) 2017; 4 Dastagiri M, Rao PS and Valli PM. TOPSIS, GRA Methods for Parametric Optimization on Wire Electrical Discharge Machining (WEDM) Process. All India Manufacturing Technology, Design and Research Conference 2016; 497–504. Diyaley, Shilal, Shivakoti, Ghadai, Kalita (b0065) 2017; 61 Peças, Henriques (b0180) 2008; 37 Atul, Pankaj, Rana (b0145) 2017; 4 Dewangan, Gangopadhyay, Biswas (b0060) 2015; 63 Das, Gupta, Das, Pradhan, Chakraborty (b0080) 2017; 297 Kumaran, Ko, Kurniawan (b0120) 2018; 123 Abidi, Ahmari, Umer, Rasheed (b0135) 2018; 125 Tang, Du (b0015) 2014; 70 Tripathy, Tripathy (b0030) 2017; 21 Durairaj, Sudharsun, Swamynathan (b0045) 2013; 64 Babu, Venkataramaiah, Dileep (b0170) 2017; 6 Jiaofei Huo, Shoufa Liu, Yinwei Wang, T Muthuramalingam, Vu Ngoc Pi, “Influence of process factors on surface measures on electrical discharge machined stainless steel using TOPSIS,” Materials Research Express, 6(8), 086507, 2019. Nayak B. Multi–Response Optimization in Machining: Exploration of TOPSIS and Deng’s Similarity Based Approach. Master of Technology (M. Tech.), National institute of technology – India 2016. Manivannan, Kumar (b0110) 2017; 32 Rajiv, Jagdeep (b0025) 2014; 230 Muthuramalingam, Mohan (b0050) 2014; 58 Vijay, Man (b0020) 2017; 89 Khan, Ning, Liang, Jamil (b0175) 2018; 119 Shahri, Mahdavinejad, Ashjaee, Abdullah (b0195) 2017; 114 Roy RA. Primer on the Taguchi Method. New York : Van Nostrand Reinhold 1990. Tansel, Dengiz, Dengiz (b0140) 2014 Sivapirakasam, Mathew, Surianarayanan (b0040) 2011; 38 Raj, Prabhu (b0100) 2017; 19 Tripathy, Tripathy (b0085) 2016; 19 Namdev V, Singh AK, Patidar P and Pradhan MK. Multi-criteria Decision Making for the Optimization of Machining Process Parameters in EDM. In: Proceedings of 1st International Conference on Mechanical Engineering: Emerging Trends for Sustainability 2014; 343–350. Mohd, Darius, Solomon, Bahari (b0005) 2007; 47 Nguyen Huu-Phan, Banh Tien-Long, Le Quang-Dung, Nguyen Duc-Toan, T Muthuramalingam, “Multi-Criteria Decision Making Using Preferential Selection Index in Titanium based Die-Sinking PMEDM, ” Journal of the Korean Society for Precision Engineering, 36(9), 793-802, 2019. Naik, Khan, Majumder, Garg (b0125) 2019; 11 Muthuramalingam (b0115) 2019; 238 Geethapriyan, Muthuramalingam, Kalaichelvan (b0155) 2019; 44 Prabhu, Vinayagam (b0035) 2016; 63 Saaty (b0185) 2008; 1 Muthuramalingam (10.1016/j.aej.2020.07.012_b0050) 2014; 58 Tansel (10.1016/j.aej.2020.07.012_b0140) 2014 10.1016/j.aej.2020.07.012_b0070 Tripathy (10.1016/j.aej.2020.07.012_b0030) 2017; 21 Naik (10.1016/j.aej.2020.07.012_b0125) 2019; 11 10.1016/j.aej.2020.07.012_b0150 Khanna (10.1016/j.aej.2020.07.012_b0105) 2015; 11 10.1016/j.aej.2020.07.012_b0130 Mohd (10.1016/j.aej.2020.07.012_b0005) 2007; 47 Geethapriyan (10.1016/j.aej.2020.07.012_b0155) 2019; 44 Prabhu (10.1016/j.aej.2020.07.012_b0035) 2016; 63 Raj (10.1016/j.aej.2020.07.012_b0100) 2017; 19 10.1016/j.aej.2020.07.012_b0090 10.1016/j.aej.2020.07.012_b0190 Rajiv (10.1016/j.aej.2020.07.012_b0025) 2014; 230 Vijay (10.1016/j.aej.2020.07.012_b0020) 2017; 89 Abidi (10.1016/j.aej.2020.07.012_b0135) 2018; 125 Muthuramalingam (10.1016/j.aej.2020.07.012_b0200) 2019; 131 Atul (10.1016/j.aej.2020.07.012_b0145) 2017; 4 Diyaley (10.1016/j.aej.2020.07.012_b0065) 2017; 61 Saaty (10.1016/j.aej.2020.07.012_b0185) 2008; 1 Manivannan (10.1016/j.aej.2020.07.012_b0110) 2017; 32 Kumaran (10.1016/j.aej.2020.07.012_b0120) 2018; 123 Babu (10.1016/j.aej.2020.07.012_b0170) 2017; 6 Tripathy (10.1016/j.aej.2020.07.012_b0085) 2016; 19 Khan (10.1016/j.aej.2020.07.012_b0175) 2018; 119 10.1016/j.aej.2020.07.012_b0160 Tripathy (10.1016/j.aej.2020.07.012_b0010) 2017; 4 Gadakh (10.1016/j.aej.2020.07.012_b0075) 2012; 7 Sakthivel (10.1016/j.aej.2020.07.012_b0165) 2018; 24 Muniappan (10.1016/j.aej.2020.07.012_b0095) 2018; 402 Das (10.1016/j.aej.2020.07.012_b0080) 2017; 297 Sivapirakasam (10.1016/j.aej.2020.07.012_b0040) 2011; 38 Shahri (10.1016/j.aej.2020.07.012_b0195) 2017; 114 Durairaj (10.1016/j.aej.2020.07.012_b0045) 2013; 64 Dewangan (10.1016/j.aej.2020.07.012_b0060) 2015; 63 Tang (10.1016/j.aej.2020.07.012_b0015) 2014; 70 Tiwary (10.1016/j.aej.2020.07.012_b0055) 2014; 2 Muthuramalingam (10.1016/j.aej.2020.07.012_b0115) 2019; 238 Peças (10.1016/j.aej.2020.07.012_b0180) 2008; 37 |
References_xml | – volume: 70 start-page: 469 year: 2014 end-page: 475 ident: b0015 article-title: Experimental study on green electrical discharge machining in tap water of Ti–6Al–4V and parameters optimization publication-title: Int. J. Adv. Manufact. Technol. contributor: fullname: Du – volume: 4 start-page: 5320 year: 2017 end-page: 5329 ident: b0145 article-title: Applications of TOPSIS algorithm on various manufacturing processes: a review publication-title: Mater. Today:. Proc. contributor: fullname: Rana – volume: 114 start-page: 35 year: 2017 end-page: 53 ident: b0195 article-title: A comparative investigation on temperature distribution in electric discharge machining process through analytical, numerical and experimental methods publication-title: Int. J. Mach. Tools Manuf contributor: fullname: Abdullah – volume: 24 start-page: 398 year: 2018 end-page: 423 ident: b0165 article-title: Application of failure mode and effects analysis in manufacturing industry- an integrated approach with FAHP - FUZZY TOPSIS and FAHP -FUZZY VIKOR publication-title: Int. J. Product. Qual. Manage. contributor: fullname: Muthuramalingam – volume: 1 start-page: 83 year: 2008 end-page: 98 ident: b0185 article-title: Decision making with the analytic hierarchy process publication-title: Int. J. Serv. Sci. contributor: fullname: Saaty – volume: 19 start-page: 76 year: 2017 end-page: 94 ident: b0100 article-title: Analysis of multi objective optimisation using TOPSIS method in EDM process with CNT infused copper electrode publication-title: Int. J. Mach. Machinability Mater. contributor: fullname: Prabhu – volume: 123 start-page: 203 year: 2018 end-page: 212 ident: b0120 article-title: Grey fuzzy optimization of ultrasonic-assisted EDM process parameters for deburring CFRP composites publication-title: Measurement contributor: fullname: Kurniawan – volume: 4 start-page: 2058 year: 2017 end-page: 2067 ident: b0010 article-title: Surface characterization and multi–response optimization of EDM process parameters using powder mixed dielectric publication-title: Mater. Today:. Proc. contributor: fullname: Tripathy – volume: 125 start-page: 336 year: 2018 end-page: 349 ident: b0135 article-title: Multi-objective optimization of micro-electrical discharge machining of nickel-titanium-based shape memory alloy using MOGA-II publication-title: Measurement contributor: fullname: Rasheed – volume: 47 start-page: 1214 year: 2007 end-page: 1228 ident: b0005 article-title: A review on current research trends in electrical discharge machining (EDM) publication-title: Int. J. Mach. Tools Manuf contributor: fullname: Bahari – volume: 63 start-page: 364 year: 2015 end-page: 376 ident: b0060 article-title: Study of surface integrity and dimensional accuracy in EDM using Fuzzy TOPSIS and sensitivity analysis publication-title: Measurement contributor: fullname: Biswas – volume: 58 start-page: 495 year: 2014 end-page: 502 ident: b0050 article-title: Application of Taguchi-grey multi responses optimization on process parameters in electro erosion publication-title: Measurement contributor: fullname: Mohan – volume: 21 start-page: 362 year: 2017 end-page: 384 ident: b0030 article-title: Multi-response optimization of machining process parameters for powder mixed electro-discharge machining of H-11 die steel using grey relational analysis and topsis publication-title: J. Mach. Sci. Technol. Int. J. contributor: fullname: Tripathy – volume: 7 start-page: 157 year: 2012 end-page: 164 ident: b0075 article-title: Parametric optimization of wire electrical discharge machining using TOPSIS method publication-title: Adv. Prod. Eng. Manage. contributor: fullname: Gadakh – volume: 119 start-page: 175 year: 2018 end-page: 177 ident: b0175 article-title: Comment to paper entitled “Experimental investigation of machinability characteristics and multi response optimization of end milling in aluminium composites using RSM based grey relational analysis” Measurement 105(2017), 78–86 publication-title: Measurement contributor: fullname: Jamil – start-page: 2147 year: 2014 end-page: 2155 ident: b0140 article-title: TOPSIS based Taguchi method for multi–response simulation optimization of flexible manufacturing system publication-title: Proc. Winter Simulat. Conf. contributor: fullname: Dengiz – volume: 64 start-page: 868 year: 2013 end-page: 877 ident: b0045 article-title: Analysis of process parameters in wire EDM with stainless steel using single objective taguchi method and multi objective grey relational grade publication-title: Procedia Eng. contributor: fullname: Swamynathan – volume: 32 start-page: 209 year: 2017 end-page: 215 ident: b0110 article-title: Multi–attribute decision–making of cryogenically cooled micro–EDM drilling process parameters using TOPSIS method publication-title: J. Mater. Manufact. Process. contributor: fullname: Kumar – volume: 6 start-page: 1 year: 2017 end-page: 14 ident: b0170 article-title: AHP–DENG’S similarity based optimization of WEDM process parameters of Al/SiCp composite publication-title: Am. J. Mater. Sci. Technol. contributor: fullname: Dileep – volume: 19 start-page: 62 year: 2016 end-page: 70 ident: b0085 article-title: Multi–attribute optimization of machining process parameters in powder mixed electro–discharge machining using TOPSIS and grey relational analysis publication-title: Eng. Sci. Technol. Int. J. contributor: fullname: Tripathy – volume: 38 start-page: 8370 year: 2011 end-page: 8374 ident: b0040 article-title: Multi–attribute decision making for green electrical discharge machining publication-title: Expert Syst. Appl. contributor: fullname: Surianarayanan – volume: 402 start-page: 1 year: 2018 end-page: 10 ident: b0095 article-title: Multi objective optimization of process parameters in WEDM of aluminium hybrid composite using taguchi and TOPSIS techniques publication-title: Mater. Sci. Eng. contributor: fullname: Senthilkumar – volume: 2 start-page: 251 year: 2014 end-page: 258 ident: b0055 article-title: Application of multi–criteria decision making methods for selection of micro–EDM process parameters publication-title: Int. J. Adv. Manufact. Technol. contributor: fullname: Bhattacharyya – volume: 89 start-page: 897 year: 2017 end-page: 904 ident: b0020 article-title: Micro–EDM multiple parameter optimization for Cp titanium publication-title: Int. J. Adv. Manufact. Technol. contributor: fullname: Man – volume: 11 start-page: 899 year: 2019 end-page: 907 ident: b0125 article-title: Experimental investigation of the PMEDM of nickel free austenitic stainless steel: a promising coronary stent material publication-title: Silicon contributor: fullname: Garg – volume: 61 start-page: 255 year: 2017 end-page: 260 ident: b0065 article-title: PSI and TOPSIS based selection of process parameters in WEDM publication-title: Periodica Polytechnica Mech. Eng. contributor: fullname: Kalita – volume: 37 start-page: 1120 year: 2008 end-page: 1132 ident: b0180 article-title: Effect of the powder concentration and dielectric flow in the surface morphology in electrical discharge machining with powder–mixed dielectric publication-title: The International Journal of Advanced Manufacturing Technology contributor: fullname: Henriques – volume: 297 start-page: 1 year: 2017 end-page: 8 ident: b0080 article-title: Application of grey–fuzzy approach in parametric optimization of EDM process in machining of MDN 300 steel publication-title: Mater. Sci. Eng. contributor: fullname: Chakraborty – volume: 63 start-page: 45 year: 2016 end-page: 71 ident: b0035 article-title: Multiresponse optimization of EDM process with nanofluids using TOPSIS method and Genetic Algorithm publication-title: Arch. Mech. Eng. contributor: fullname: Vinayagam – volume: 238 year: 2019 ident: b0115 article-title: Effect of diluted dielectric medium on spark energy in green EDM process using TGRA approach publication-title: J. Cleaner Prod. contributor: fullname: Muthuramalingam – volume: 230 start-page: 303 year: 2014 end-page: 312 ident: b0025 article-title: Determination of multi–performance characteristics for powder mixed electric discharge machining of tungsten carbide alloy publication-title: ProcIME Part B: J. Eng. Manufact. contributor: fullname: Jagdeep – volume: 44 start-page: 7945 year: 2019 end-page: 7955 ident: b0155 article-title: Influence of process parameters on machinability of inconel 718 by electrochemical micromachining process using TOPSIS technique publication-title: Arab. J. Sci. Eng. contributor: fullname: Kalaichelvan – volume: 11 start-page: 459 year: 2015 end-page: 472 ident: b0105 article-title: Multiple performance characteristics optimization for Al 7075 on electric discharge drilling by Taguchi grey relational theory publication-title: J. Industrial Eng. Int. contributor: fullname: Sharma – volume: 114 start-page: 35 year: 2017 ident: 10.1016/j.aej.2020.07.012_b0195 article-title: A comparative investigation on temperature distribution in electric discharge machining process through analytical, numerical and experimental methods publication-title: Int. J. Mach. Tools Manuf doi: 10.1016/j.ijmachtools.2016.12.005 contributor: fullname: Shahri – volume: 21 start-page: 362 year: 2017 ident: 10.1016/j.aej.2020.07.012_b0030 article-title: Multi-response optimization of machining process parameters for powder mixed electro-discharge machining of H-11 die steel using grey relational analysis and topsis publication-title: J. Mach. Sci. Technol. Int. J. doi: 10.1080/10910344.2017.1283957 contributor: fullname: Tripathy – volume: 58 start-page: 495 year: 2014 ident: 10.1016/j.aej.2020.07.012_b0050 article-title: Application of Taguchi-grey multi responses optimization on process parameters in electro erosion publication-title: Measurement doi: 10.1016/j.measurement.2014.09.029 contributor: fullname: Muthuramalingam – volume: 402 start-page: 1 year: 2018 ident: 10.1016/j.aej.2020.07.012_b0095 article-title: Multi objective optimization of process parameters in WEDM of aluminium hybrid composite using taguchi and TOPSIS techniques publication-title: Mater. Sci. Eng. contributor: fullname: Muniappan – volume: 89 start-page: 897 year: 2017 ident: 10.1016/j.aej.2020.07.012_b0020 article-title: Micro–EDM multiple parameter optimization for Cp titanium publication-title: Int. J. Adv. Manufact. Technol. doi: 10.1007/s00170-016-9130-2 contributor: fullname: Vijay – volume: 24 start-page: 398 issue: 3 year: 2018 ident: 10.1016/j.aej.2020.07.012_b0165 article-title: Application of failure mode and effects analysis in manufacturing industry- an integrated approach with FAHP - FUZZY TOPSIS and FAHP -FUZZY VIKOR publication-title: Int. J. Product. Qual. Manage. doi: 10.1504/IJPQM.2018.092984 contributor: fullname: Sakthivel – volume: 11 start-page: 899 year: 2019 ident: 10.1016/j.aej.2020.07.012_b0125 article-title: Experimental investigation of the PMEDM of nickel free austenitic stainless steel: a promising coronary stent material publication-title: Silicon doi: 10.1007/s12633-018-9877-1 contributor: fullname: Naik – volume: 4 start-page: 2058 year: 2017 ident: 10.1016/j.aej.2020.07.012_b0010 article-title: Surface characterization and multi–response optimization of EDM process parameters using powder mixed dielectric publication-title: Mater. Today:. Proc. doi: 10.1016/j.matpr.2017.02.051 contributor: fullname: Tripathy – volume: 131 start-page: 694 year: 2019 ident: 10.1016/j.aej.2020.07.012_b0200 article-title: Measuring the influence of discharge energy on white layer thickness in electrical discharge machining process publication-title: Measurement doi: 10.1016/j.measurement.2018.09.038 contributor: fullname: Muthuramalingam – volume: 63 start-page: 364 year: 2015 ident: 10.1016/j.aej.2020.07.012_b0060 article-title: Study of surface integrity and dimensional accuracy in EDM using Fuzzy TOPSIS and sensitivity analysis publication-title: Measurement doi: 10.1016/j.measurement.2014.11.025 contributor: fullname: Dewangan – volume: 19 start-page: 62 year: 2016 ident: 10.1016/j.aej.2020.07.012_b0085 article-title: Multi–attribute optimization of machining process parameters in powder mixed electro–discharge machining using TOPSIS and grey relational analysis publication-title: Eng. Sci. Technol. Int. J. contributor: fullname: Tripathy – start-page: 2147 year: 2014 ident: 10.1016/j.aej.2020.07.012_b0140 article-title: TOPSIS based Taguchi method for multi–response simulation optimization of flexible manufacturing system publication-title: Proc. Winter Simulat. Conf. contributor: fullname: Tansel – ident: 10.1016/j.aej.2020.07.012_b0090 – volume: 19 start-page: 76 year: 2017 ident: 10.1016/j.aej.2020.07.012_b0100 article-title: Analysis of multi objective optimisation using TOPSIS method in EDM process with CNT infused copper electrode publication-title: Int. J. Mach. Machinability Mater. contributor: fullname: Raj – volume: 2 start-page: 251 year: 2014 ident: 10.1016/j.aej.2020.07.012_b0055 article-title: Application of multi–criteria decision making methods for selection of micro–EDM process parameters publication-title: Int. J. Adv. Manufact. Technol. contributor: fullname: Tiwary – ident: 10.1016/j.aej.2020.07.012_b0130 – volume: 63 start-page: 45 year: 2016 ident: 10.1016/j.aej.2020.07.012_b0035 article-title: Multiresponse optimization of EDM process with nanofluids using TOPSIS method and Genetic Algorithm publication-title: Arch. Mech. Eng. doi: 10.1515/meceng-2016-0003 contributor: fullname: Prabhu – volume: 1 start-page: 83 year: 2008 ident: 10.1016/j.aej.2020.07.012_b0185 article-title: Decision making with the analytic hierarchy process publication-title: Int. J. Serv. Sci. contributor: fullname: Saaty – volume: 4 start-page: 5320 year: 2017 ident: 10.1016/j.aej.2020.07.012_b0145 article-title: Applications of TOPSIS algorithm on various manufacturing processes: a review publication-title: Mater. Today:. Proc. doi: 10.1016/j.matpr.2017.05.042 contributor: fullname: Atul – ident: 10.1016/j.aej.2020.07.012_b0160 doi: 10.1088/2053-1591/ab1ae0 – volume: 38 start-page: 8370 year: 2011 ident: 10.1016/j.aej.2020.07.012_b0040 article-title: Multi–attribute decision making for green electrical discharge machining publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2011.01.026 contributor: fullname: Sivapirakasam – volume: 119 start-page: 175 year: 2018 ident: 10.1016/j.aej.2020.07.012_b0175 article-title: Comment to paper entitled “Experimental investigation of machinability characteristics and multi response optimization of end milling in aluminium composites using RSM based grey relational analysis” Measurement 105(2017), 78–86 publication-title: Measurement doi: 10.1016/j.measurement.2018.01.057 contributor: fullname: Khan – volume: 64 start-page: 868 year: 2013 ident: 10.1016/j.aej.2020.07.012_b0045 article-title: Analysis of process parameters in wire EDM with stainless steel using single objective taguchi method and multi objective grey relational grade publication-title: Procedia Eng. doi: 10.1016/j.proeng.2013.09.163 contributor: fullname: Durairaj – volume: 61 start-page: 255 year: 2017 ident: 10.1016/j.aej.2020.07.012_b0065 article-title: PSI and TOPSIS based selection of process parameters in WEDM publication-title: Periodica Polytechnica Mech. Eng. doi: 10.3311/PPme.10431 contributor: fullname: Diyaley – volume: 123 start-page: 203 year: 2018 ident: 10.1016/j.aej.2020.07.012_b0120 article-title: Grey fuzzy optimization of ultrasonic-assisted EDM process parameters for deburring CFRP composites publication-title: Measurement doi: 10.1016/j.measurement.2018.03.076 contributor: fullname: Kumaran – volume: 44 start-page: 7945 issue: 9 year: 2019 ident: 10.1016/j.aej.2020.07.012_b0155 article-title: Influence of process parameters on machinability of inconel 718 by electrochemical micromachining process using TOPSIS technique publication-title: Arab. J. Sci. Eng. doi: 10.1007/s13369-019-03978-5 contributor: fullname: Geethapriyan – volume: 6 start-page: 1 year: 2017 ident: 10.1016/j.aej.2020.07.012_b0170 article-title: AHP–DENG’S similarity based optimization of WEDM process parameters of Al/SiCp composite publication-title: Am. J. Mater. Sci. Technol. contributor: fullname: Babu – volume: 70 start-page: 469 year: 2014 ident: 10.1016/j.aej.2020.07.012_b0015 article-title: Experimental study on green electrical discharge machining in tap water of Ti–6Al–4V and parameters optimization publication-title: Int. J. Adv. Manufact. Technol. doi: 10.1007/s00170-013-5274-5 contributor: fullname: Tang – volume: 11 start-page: 459 year: 2015 ident: 10.1016/j.aej.2020.07.012_b0105 article-title: Multiple performance characteristics optimization for Al 7075 on electric discharge drilling by Taguchi grey relational theory publication-title: J. Industrial Eng. Int. doi: 10.1007/s40092-015-0112-z contributor: fullname: Khanna – volume: 32 start-page: 209 year: 2017 ident: 10.1016/j.aej.2020.07.012_b0110 article-title: Multi–attribute decision–making of cryogenically cooled micro–EDM drilling process parameters using TOPSIS method publication-title: J. Mater. Manufact. Process. doi: 10.1080/10426914.2016.1176182 contributor: fullname: Manivannan – ident: 10.1016/j.aej.2020.07.012_b0190 – volume: 37 start-page: 1120 year: 2008 ident: 10.1016/j.aej.2020.07.012_b0180 article-title: Effect of the powder concentration and dielectric flow in the surface morphology in electrical discharge machining with powder–mixed dielectric publication-title: The International Journal of Advanced Manufacturing Technology doi: 10.1007/s00170-007-1061-5 contributor: fullname: Peças – volume: 238 year: 2019 ident: 10.1016/j.aej.2020.07.012_b0115 article-title: Effect of diluted dielectric medium on spark energy in green EDM process using TGRA approach publication-title: J. Cleaner Prod. doi: 10.1016/j.jclepro.2019.117894 contributor: fullname: Muthuramalingam – ident: 10.1016/j.aej.2020.07.012_b0150 – volume: 47 start-page: 1214 year: 2007 ident: 10.1016/j.aej.2020.07.012_b0005 article-title: A review on current research trends in electrical discharge machining (EDM) publication-title: Int. J. Mach. Tools Manuf doi: 10.1016/j.ijmachtools.2006.08.026 contributor: fullname: Mohd – volume: 297 start-page: 1 year: 2017 ident: 10.1016/j.aej.2020.07.012_b0080 article-title: Application of grey–fuzzy approach in parametric optimization of EDM process in machining of MDN 300 steel publication-title: Mater. Sci. Eng. contributor: fullname: Das – volume: 125 start-page: 336 year: 2018 ident: 10.1016/j.aej.2020.07.012_b0135 article-title: Multi-objective optimization of micro-electrical discharge machining of nickel-titanium-based shape memory alloy using MOGA-II publication-title: Measurement doi: 10.1016/j.measurement.2018.04.096 contributor: fullname: Abidi – ident: 10.1016/j.aej.2020.07.012_b0070 doi: 10.7736/KSPE.2019.36.9.793 – volume: 7 start-page: 157 year: 2012 ident: 10.1016/j.aej.2020.07.012_b0075 article-title: Parametric optimization of wire electrical discharge machining using TOPSIS method publication-title: Adv. Prod. Eng. Manage. contributor: fullname: Gadakh – volume: 230 start-page: 303 year: 2014 ident: 10.1016/j.aej.2020.07.012_b0025 article-title: Determination of multi–performance characteristics for powder mixed electric discharge machining of tungsten carbide alloy publication-title: ProcIME Part B: J. Eng. Manufact. contributor: fullname: Rajiv |
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Title | Multi-objective optimization in titanium powder mixed electrical discharge machining process parameters for die steels |
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