How to cite this paper
Kumar, G., Ramaa, A & Shilpa, M. (2022). Parametric analysis of dry machining process using a novel integrated multi-attribute decision making approach.Decision Science Letters , 11(2), 193-202.
Refrences
Akkuş, H., & Yaka, H. (2021). Experimental and statistical investigation of the effect of cutting parameters on surface roughness, vibration and energy consumption in machining of titanium 6Al-4V ELI (grade 5) alloy. Measurement: Journal of the International Measurement Confederation, 167(June 2020).
Alok, A., & Das, M. (2019). Multi-objective optimization of cutting parameters during sustainable dry hard turning of AISI 52100 steel with newly develop HSN 2 -coated carbide insert. Measurement, 133, 288–302.
Aouici, H., Khellaf, A., Smaiah, S., Elbah, M., Fnides, B., & Yallese, M. A. (2017). Comparative assessment of coated and uncoated ceramic tools on cutting force components and tool wear in hard turning of AISI H11 steel using Taguchi plan and RMS. Sadhana.
Balasubramaniyan Singaravel, T. S. (2015). Optimization of machining parameters in turning operation using combined TOPSIS and AHP method. Tehnicki Vjesnik - Technical Gazette, 22(6).
Bouzid, L., Berkani, S., Athmane, M., & Girardin, F. (2018). Estimation and optimization of flank wear and tool lifespan in finish turning of AISI 304 stainless steel using desirability function approach. 9, 349–368.
Das, A., Tirkey, N., Kumar, S., Sudhansu, P., Das, R., Chip, A. Á., Flank, Á., & Cermet, Á. (2019). A Comparison of Machinability in Hard Turning of EN-24 Alloy Steel Under Mist Cooled and Dry Cutting Environments with a Coated Cermet Tool. Journal of Failure Analysis and Prevention, 19(1), 115–130.
Das, P. P., & Chakraborty, S. (2020). Parametric analysis of a green electrical discharge machining process using DEMATEL and SIR methods. Opsearch, 57(2), 513–540.
Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The critic method. Computers and Operations Research, 22(7), 763–770.
Gaitonde, V. N., Karnik, S. R., & Davim, J. P. (2009). Multiperformance optimization in turning of free-machining steel using taguchi method and utility concept. Journal of Materials Engineering and Performance, 18(3), 231–236.
Jozić, S., Dumanić, I., & Bajić, D. (2020). Experimental analysis and optimization of the controllable parameters in turning of en aw-2011 alloy; dry machining and alternative cooling techniques. Facta Universitatis, Series: Mechanical Engineering, 18(1), 013.
Julong, D. (1988). Introduction to Grey System Theory.
Kaliszewski, I., & Podkopaev, D. (2016). Simple additive weighting—A metamodel for multiple criteria decision analysis methods. Expert Systems with Applications, 54, 155–161.
Kuntoglu, M., Pimenov, D. Y., Giasin, K., & Mikolajczyk, T. (2020). Modeling of Cutting Parameters and Tool Geometry. September.
Lai, Y.-J., Liu, T.-Y., & Hwang, C.-L. (1994). TOPSIS for MODM. European Journal of Operational Research, 76(3), 486–500.
Mir, M. J., & Wani, M. F. (2018). Modelling and analysis of tool wear and surface roughness in hard turning of AISI D2 steel using response surface methodology. 9, 63–74.
Parida, A. K., & Routara, B. C. (2014). Multiresponse Optimization of Process Parameters in Turning of GFRP Using TOPSIS Method. International Scholarly Research Notices, 2014, 1–10.
Pradhan, S., & Maity, K. (n.d.). Investigation of surface roughness , tool wear and chip reduction coefficient during machining of titanium alloy with PVD Al-Ti-N coating carbide insert. 2–5.
Rao, R. V., & Patel, B. K. (2010). Decision making in the manufacturing environment using an improved PROMETHEE method. International Journal of Production Research, 48(16), 4665–4682.
Saaty. (2002). The Analytic Hierarchy Process ( AHP ) and the Analytic Network Process ( ANP ) for Decision Making Decision Making involves setting priorities and the AHP / ANP is the methodology for doing. 1–109.
Sabiya, K., Shilpa, M., Appaiah. S. (2019). Scrap reduction in TMT reinforced bar production by the application of lean techniques. International Journal of Recent Technology and Engineering, 8(2), 3483–3487.
Shastri, A., Nargundkar, A., Kulkarni, A. J., & Benedicenti, L. (2021). Optimization of process parameters for turning of titanium alloy (Grade II) in MQL environment using multi-CI algorithm. SN Applied Sciences, 3(2).
Shilpa, M., Prakash, G.S., Shivakumar, M.R. (2020). A combinatorial approach to optimize the properties of green sand used in casting mould, Materials Today: Proceedings, 39, 1509–1514.
Si, S. L., You, X. Y., Liu, H. C., & Zhang, P. (2018). DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications. Mathematical Problems in Engineering, 2018(1).
Singaravel, B., Vjesnik, T. S.-T., & 2015, undefined. (n.d.). Optimization of machining parameters in turning operation using combined TOPSIS and AHP method. Pdfs.Semanticscholar.Org. Retrieved May 29, 2018, from
Sivaiah, P., & Uma, B. (2019). Multiobjective optimization of sustainable turning process using TOPSIS method. Emerging Materials Research, 8(4), 686–695.
Tic, A. O., & Steel, A. D. (2018). Simultaneous improvement of surface quality and productivity using grey relational analysis based Taguchi design for turning couple ( AISI D3 steel / mixed ceramic tool. 9, 173–194.
Venkata Ajay Kumar, G., Shilpa, M., Purander, U.S., Madhoo, G., Asokan, V. (2019). Multi-objective optimization of machining process parameters in wire-cut electric discharge machining of inconel x750 alloy by combinatorial approach, Materials Science Forum, 969, 781–786.
Viswanathan, R., Ramesh, S., & Subburam, V. (2018). Measurement and optimization of performance characteristics in turning of Mg alloy under dry and MQL conditions. Measurement: Journal of the International Measurement Confederation, 120(February), 107–113.
Wang, D., & Zhao, J. (2016a). Design optimization of mechanical properties of ceramic tool material during turning of ultra-high-strength steel 300M with AHP and CRITIC method. International Journal of Advanced Manufacturing Technology, 84(9–12), 2381–2390.
Wang, D., & Zhao, J. (2016b). Design optimization of mechanical properties of ceramic tool material during turning of ultra-high-strength steel 300M with AHP and CRITIC method. The International Journal of Advanced Manufacturing Technology, 84(9–12), 2381–2390.
Alok, A., & Das, M. (2019). Multi-objective optimization of cutting parameters during sustainable dry hard turning of AISI 52100 steel with newly develop HSN 2 -coated carbide insert. Measurement, 133, 288–302.
Aouici, H., Khellaf, A., Smaiah, S., Elbah, M., Fnides, B., & Yallese, M. A. (2017). Comparative assessment of coated and uncoated ceramic tools on cutting force components and tool wear in hard turning of AISI H11 steel using Taguchi plan and RMS. Sadhana.
Balasubramaniyan Singaravel, T. S. (2015). Optimization of machining parameters in turning operation using combined TOPSIS and AHP method. Tehnicki Vjesnik - Technical Gazette, 22(6).
Bouzid, L., Berkani, S., Athmane, M., & Girardin, F. (2018). Estimation and optimization of flank wear and tool lifespan in finish turning of AISI 304 stainless steel using desirability function approach. 9, 349–368.
Das, A., Tirkey, N., Kumar, S., Sudhansu, P., Das, R., Chip, A. Á., Flank, Á., & Cermet, Á. (2019). A Comparison of Machinability in Hard Turning of EN-24 Alloy Steel Under Mist Cooled and Dry Cutting Environments with a Coated Cermet Tool. Journal of Failure Analysis and Prevention, 19(1), 115–130.
Das, P. P., & Chakraborty, S. (2020). Parametric analysis of a green electrical discharge machining process using DEMATEL and SIR methods. Opsearch, 57(2), 513–540.
Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The critic method. Computers and Operations Research, 22(7), 763–770.
Gaitonde, V. N., Karnik, S. R., & Davim, J. P. (2009). Multiperformance optimization in turning of free-machining steel using taguchi method and utility concept. Journal of Materials Engineering and Performance, 18(3), 231–236.
Jozić, S., Dumanić, I., & Bajić, D. (2020). Experimental analysis and optimization of the controllable parameters in turning of en aw-2011 alloy; dry machining and alternative cooling techniques. Facta Universitatis, Series: Mechanical Engineering, 18(1), 013.
Julong, D. (1988). Introduction to Grey System Theory.
Kaliszewski, I., & Podkopaev, D. (2016). Simple additive weighting—A metamodel for multiple criteria decision analysis methods. Expert Systems with Applications, 54, 155–161.
Kuntoglu, M., Pimenov, D. Y., Giasin, K., & Mikolajczyk, T. (2020). Modeling of Cutting Parameters and Tool Geometry. September.
Lai, Y.-J., Liu, T.-Y., & Hwang, C.-L. (1994). TOPSIS for MODM. European Journal of Operational Research, 76(3), 486–500.
Mir, M. J., & Wani, M. F. (2018). Modelling and analysis of tool wear and surface roughness in hard turning of AISI D2 steel using response surface methodology. 9, 63–74.
Parida, A. K., & Routara, B. C. (2014). Multiresponse Optimization of Process Parameters in Turning of GFRP Using TOPSIS Method. International Scholarly Research Notices, 2014, 1–10.
Pradhan, S., & Maity, K. (n.d.). Investigation of surface roughness , tool wear and chip reduction coefficient during machining of titanium alloy with PVD Al-Ti-N coating carbide insert. 2–5.
Rao, R. V., & Patel, B. K. (2010). Decision making in the manufacturing environment using an improved PROMETHEE method. International Journal of Production Research, 48(16), 4665–4682.
Saaty. (2002). The Analytic Hierarchy Process ( AHP ) and the Analytic Network Process ( ANP ) for Decision Making Decision Making involves setting priorities and the AHP / ANP is the methodology for doing. 1–109.
Sabiya, K., Shilpa, M., Appaiah. S. (2019). Scrap reduction in TMT reinforced bar production by the application of lean techniques. International Journal of Recent Technology and Engineering, 8(2), 3483–3487.
Shastri, A., Nargundkar, A., Kulkarni, A. J., & Benedicenti, L. (2021). Optimization of process parameters for turning of titanium alloy (Grade II) in MQL environment using multi-CI algorithm. SN Applied Sciences, 3(2).
Shilpa, M., Prakash, G.S., Shivakumar, M.R. (2020). A combinatorial approach to optimize the properties of green sand used in casting mould, Materials Today: Proceedings, 39, 1509–1514.
Si, S. L., You, X. Y., Liu, H. C., & Zhang, P. (2018). DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications. Mathematical Problems in Engineering, 2018(1).
Singaravel, B., Vjesnik, T. S.-T., & 2015, undefined. (n.d.). Optimization of machining parameters in turning operation using combined TOPSIS and AHP method. Pdfs.Semanticscholar.Org. Retrieved May 29, 2018, from
Sivaiah, P., & Uma, B. (2019). Multiobjective optimization of sustainable turning process using TOPSIS method. Emerging Materials Research, 8(4), 686–695.
Tic, A. O., & Steel, A. D. (2018). Simultaneous improvement of surface quality and productivity using grey relational analysis based Taguchi design for turning couple ( AISI D3 steel / mixed ceramic tool. 9, 173–194.
Venkata Ajay Kumar, G., Shilpa, M., Purander, U.S., Madhoo, G., Asokan, V. (2019). Multi-objective optimization of machining process parameters in wire-cut electric discharge machining of inconel x750 alloy by combinatorial approach, Materials Science Forum, 969, 781–786.
Viswanathan, R., Ramesh, S., & Subburam, V. (2018). Measurement and optimization of performance characteristics in turning of Mg alloy under dry and MQL conditions. Measurement: Journal of the International Measurement Confederation, 120(February), 107–113.
Wang, D., & Zhao, J. (2016a). Design optimization of mechanical properties of ceramic tool material during turning of ultra-high-strength steel 300M with AHP and CRITIC method. International Journal of Advanced Manufacturing Technology, 84(9–12), 2381–2390.
Wang, D., & Zhao, J. (2016b). Design optimization of mechanical properties of ceramic tool material during turning of ultra-high-strength steel 300M with AHP and CRITIC method. The International Journal of Advanced Manufacturing Technology, 84(9–12), 2381–2390.