Abstract
An investigation was made on composites containing AA6082 as matrix and boron nitride/molybdenum disulphide (BN/MoS2) as reinforcement, which was a composite materials hybrid at 3 wt% of BN and 1% MoS2 and fabricated by stir casting methodology. Using electrical discharge machining (EDM) equipment, machinability studies were undertaken to achieve an optimal condition on process parameters. Taguchi (L27 orthogonal array)-based design of experiments was employed to examine the influence of process parameters like pulse on time (Ton), peak current (IP), and gap voltage (V) on material removal rate (MRR), circularity (CIRC), electrode wear rate (EWR), and cylindricity (CYLD). Multi-criteria decision-making (MCDM) methodology was employed for the process parameters while machining AA6082/3 wt% BN/1% MoS2 hybrid composites. An entropy-based objective weights method was integrated with the complex proportional assessment (COPRAS) approach to assess the most excellent optimal level of process parameters. The entropy (Wj) weights were 0.1285, 0.1002, 0.5707, and 0.2005 for MRR, EWR, CIRC, and CYLD. Optimal conditions are obtained from the COPRAS method of relative significance score, and quantitative utility assessment score in the nineteenth experiment having the 15 A, 50 μs, and 30 V with the relative significance score of 0.0735 and a higher quantitative utility score of 100% being achieved. Using an SEM, the machined surface is analysed for the micro-structural examination. At higher peak current (IP), micro-voids and craters with poor surface finish were located.
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Sivanesh Prabhu M, Elaya Perumal A, Arulvel S, Franklin Issac R (2019) Friction and wear measurements of friction stir processed aluminium alloy 6082/CaCO3 composite. Measurement 142:10–20 https://doi.org/10.1016/j.measurement.2019.04.061
Sharma P, Sharma S, Khanduja D (2015) A study on microstructure of aluminium matrix composites. J Asian Ceram Soc 3:240–244 https://doi.org/10.1016/j.jascer.2015.04.001
Mohd Abbas N, Solomon DG, Fuad Bahari M (2007) A review on current research trends in electrical discharge machining (EDM). Int J Mach Tools Manuf 47:1214–1228 https://doi.org/10.1016/j.ijmachtools.2006.08.026
Kumar S, Ghoshal SK, Arora PK, Nagdeve L (2021) Multi-variable optimization in die-sinking EDM process of AISI420 stainless steel. Mater Manuf Process 36:572–582. https://doi.org/10.1080/10426914.2020.1843678
Mukherjee S, Rai D, Giridharan A (2021) EDM of titanium foam: electrode wear rate, oversize, and MRR. Mater Manuf Process 1–13https://doi.org/10.1080/10426914.2021.1981938
Tao Le V (2021) The influence of additive powder on machinability and surface integrity of SKD61 steel by EDM process. Mater Manuf Process 1–15https://doi.org/10.1080/10426914.2021.1885710
Zhang W, Li L, Wang N, Teng YL (2021) Machining of 7Cr13Mo steel by US-PMEDM process. Mater Manuf Process 1–7https://doi.org/10.1080/10426914.2021.1885704
Karthik Pandiyan G, Prabaharan T, Jafrey Daniel James D, Vinothkumar Sivalingam, Thangapandian N (2021) Improvement on the machinability characteristics of AA6061-T6 / 15 wt .% SiC composites by Response Surface methodology. Surf Topogr Metrol Prop 9:35050 https://doi.org/10.1088/2051-672X/ac2560
Pandiyan GK, Prabaharan T, James DJD, Sivalingam V (2021) Machinability analysis and optimization of electrical discharge machining in AA6061-T6 /15wt.% SiC composite by the multi-criteria decision-making approach. J Mater Eng Perform https://doi.org/10.1007/s11665-021-06511-8
Karthik Pandiyan G, Prabaharan T (2021) Mechanical and tribological characterization of stir cast AA6061 T6–SiC composite. Silicon 13:4575–4582. https://doi.org/10.1007/s12633-020-00781-y
Karthik Pandiyan G, Prabaharan T (2020) Optimization of machining parameters on AA6351 alloy steel using response surface methodology (RSM). Mater Today Proc 1–4https://doi.org/10.1016/j.matpr.2020.01.369
Jafrey Daniel James D, Ganesh Babu L, Ramesh M, Ravichandran MM (2019) Mechanical and tribological characteristics of ZrO2 reinforced Al2014 matrix composites produced via stir casting route. Mater Res Express 6:115542. https://doi.org/10.1088/2053-1591/ab4fc1
Daniel DJ, Panneerselvam K (2018) Abrasive wear of polypropylene/Cloisite 30B/Elvaloy AC 3427 nanocomposites. J Compos Mater 52:1833–1843. https://doi.org/10.1177/0021998317734624
Kumar PM, Sivakumar K, Jayakumar N (2018) Multiobjective optimization and analysis of copper–titanium diboride electrode in EDM of monel 400™ alloy. Mater Manuf Process 33:1429–1437. https://doi.org/10.1080/10426914.2017.1415439
Vinoth Kumar S, Pradeep Kumar M (2015) Machining process parameter and surface integrity in conventional EDM and cryogenic EDM of Al-SiCp MMC. J Manuf Process 20:70–78. https://doi.org/10.1016/j.jmapro.2015.07.007
VinothKumar S, PradeepKumar M (2017) Experimental investigation and optimization of machining process parameters in AISI D2 steel under conventional EDM and cryogenically cooled EDM process. Trans Indian Inst Met 70:2293–2301. https://doi.org/10.1007/s12666-017-1092-z
James Dhilip JD, Jeevan J, Arulkirubakaran D, Ramesh M (2020) Investigation and optimization of parameters for hard turning of OHNS steel. Mater Manuf Process 35:1113–1119. https://doi.org/10.1080/10426914.2020.1765254
Stanojković J, Radovanović M (2017) Selection of drill for drilling with high pressure coolant using entropy and COPRAS MCDM method. UPB Sci Bull Ser D Mech Eng 79:199–204
Varatharajulu M, Duraiselvam M, Kumar MB, Jayaprakash G, Baskar N (2021) Multi criteria decision making through TOPSIS and COPRAS on drilling parameters of magnesium AZ91. J Magnes Alloy https://doi.org/10.1016/j.jma.2021.05.006
Keshavarz Ghorabaee M, Amiri M, Salehi Sadaghiani J, Hassani Goodarzi G (2014) Multiple criteria group decision-making for supplier selection based on COPRAS method with interval type-2 fuzzy sets. Int J Adv Manuf Technol 75:1115–1130. https://doi.org/10.1007/s00170-014-6142-7
Mishra, A. R., Rani, P., Pandey, K., Mardani, A., Streimikis, J., Streimikiene, D., & Alrasheedi M (2020) Novel multi-criteria intuitionistic fuzzy SWARA-COPRAS approach for sustainability evaluation of the bioenergy production process. Sustain 12https://doi.org/10.3390/su12104155
Zagorskas J, Burinskienė M, Zavadskas E, Turskis Z (2007) Urbanistic assessment of city compactness on the basis of GIS applying the COPRAS method. Ekologija 53(Suppl):55–63
Zavadskas EK, Kaklauskas A, Turskis Z, Tamošaitiene J (2008) Selection of the effective dwelling house walls by applying attributes values determined at intervals. J Civ Eng Manag 14:85–93. https://doi.org/10.3846/1392-3730.2008.14.3
Rashid MAN, Saleh T, Noor WI, Ali MSM (2021) Effect of laser parameters on sequential laser beam micromachining and micro electro-discharge machining. Int J Adv Manuf Technol 114:709–723. https://doi.org/10.1007/s00170-021-06908-8
Mollik MS, Saleh T, Bin Md Nor KA, Ali MSM (2022) A machine learning-based classification model to identify the effectiveness of vibration for μEDM. Alex Eng J 61:6979–6989 https://doi.org/10.1016/j.aej.2021.12.048
Sabyrov N, Jahan MP, Bilal A, Perveen A (2019) Ultrasonic vibration assisted electro-discharge machining (EDM)—an overview. Mater 12
D Srinivasan, N Ganesh, Jafrey Daniel James D, H Ramakrishnan, R Balasundaram, R Sanjeevi, Karthik Pandiyan G SKG and MC (2022) Investigation of surface roughness and material removal rate of WEDM of SS304 using ANOVA and regression models. Surf Topogr Metrol Prop 10:25014https://doi.org/10.1088/2051-672x/ac6c9e
Kumar SV, Kumar MP (2014) Optimization of cryogenic cooled EDM process parameters using grey relational analysis. J Mech Sci Technol 28:3777–3784. https://doi.org/10.1007/s12206-014-0840-9
Kumar SV, Kumar MP (2015) Experimental investigation of the process parameters in cryogenic cooled electrode in EDM. J Mech Sci Technol 29:3865–3871. https://doi.org/10.1007/s12206-015-0832-4
Selvarajan L, Sathiya Narayanan C, Jeyapaul R, Manohar M (2016) Optimization of EDM process parameters in machining Si3N4-TiN conductive ceramic composites to improve form and orientation tolerances. Meas J Int Meas Confed 92:114–129. https://doi.org/10.1016/j.measurement.2016.05.018
Senthilkumar TS, Muralikannan R (2019) Enhancing the geometric tolerance of aluminium hybrid metal matrix composite using EDM process. J Braz Soc Mech Sci Eng 41https://doi.org/10.1007/s40430-018-1553-2
Selvarajan L, Manohar M, Udhaya kumar A, Dhinakaran P (2017) Modelling and experimental investigation of process parameters in EDM of Si3N4-TiN composites using GRA-RSM. J Mech Sci Technol 31:111–122https://doi.org/10.1007/s12206-016-1009-5
Souza CC, Arencibia RV, Henara Lillian Costa APF (2012) A contribution to the measurement of circularity and cylindricity deviations. ABCM Symp Ser Mechatronics 5:791–800
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This work is supported by the Fundamental Research Funds of Shandong University (2019HW040) and Future for Young Scholars of Shandong University, China (31360082064026).
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Karthik Pandiyan Ganesan: conceptualisation, experimental work and data curation, and writing—review and editing; Jafrey Daniel James Dhilip: data curation and writing—review and editing; Vinothkumar Sivalingam: supervision, funding and data curation writing—review and editing, and technical validation; Arjun Duraipalam: experimental work; Gowtham Seenivasan: experimental work; Gokul Kannan Perumal: experimental work; Bhuvaneshwar Karthikeyan: experimental work; Ram Kumar Rajagopal: experimental work; Mohanraj Chandran: experimental work and technical validation.
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Ganesan, K.P., Dhilip, J.D.J., Sivalingam, V. et al. Machinability analysis and optimisation of EDM in AA6082/3 wt% BN/1 wt% MoS2 hybrid composites using entropy method weights integrated with complex proportional assessment (COPRAS) method. Int J Adv Manuf Technol 123, 4051–4064 (2022). https://doi.org/10.1007/s00170-022-10462-2
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DOI: https://doi.org/10.1007/s00170-022-10462-2