Multi-Objective Optimization in Hard Turning of Tool Steel Using Integration of Taguchi & TOPSIS under wet Conditions

Vikas Sharma

doi:https://doi.org/10.14445/22315381/IJETT-V68I10P206

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Volume 68 | Issue 10 | Year 2020 | Article Id. IJETT-V68I10P206 | DOI : https://doi.org/10.14445/22315381/IJETT-V68I10P206

Multi-Objective Optimization in Hard Turning of Tool Steel Using Integration of Taguchi & TOPSIS under wet Conditions

Vikas Sharma

Citation :

Vikas Sharma, "Multi-Objective Optimization in Hard Turning of Tool Steel Using Integration of Taguchi & TOPSIS under wet Conditions," International Journal of Engineering Trends and Technology (IJETT), vol. 68, no. 10, pp. 37-41, 2020. Crossref, https://doi.org/10.14445/22315381/IJETT-V68I10P206

Abstract

In this paper authors attempted to estimate/evaluate the optimal value of input parameter that gives a satisfactory level of surface finish level and cutting speed in term of removal of material while hard turning of tool Steel using carbide insert using water based coolant. Taguchi method have been utilised for designing the experiment post experiments decision making analysis is used for or obtaining the multi optimisation of the controllable factors/parameters for response namely material removal rate and surface finish. Paper focussed on using TOPSIS to arrive a result of multi Optimisation for the tool Steel. Article presented use of Multi criterion methods of decision-making in field of production engineering.

Keywords

Taguchi, TOPSIS, MCDM, L9.

References

[1] D. P. Selvaraj and P. Chandramohan, “Optimization of Surface Roughness of AISI 304 Austenitic Stainless Steel in Dry Turning Operation using Taguchi Design Method,” J. Eng. Sci. Technol., vol. 5, no. 3, pp. 293–301, 2010
[2] D. Singh and P. V. Rao, “A surface roughness prediction model for hard turning process,” Int. J. Adv. Manuf. Technol., vol. 32, no. 11–12, pp. 1115–1124, 2007.
[3] G. Anand and R. Kodali, “Selection of lean manufacturing systems using the PROMETHEE,” J. Model. Manag., vol. 3, no. 1, pp. 40–70, 2008. Vikas Sharma et al. / IJETT, 68(10), 37-41, 2020 41
[4] M. Behzadian, R. B. Kazemzadeh, A. Albadvi, and M. Aghdasi, “PROMETHEE: A comprehensive literature review on methodologies and applications,” Eur. J. Oper. Res., vol. 200, no. 1, pp. 198–215, 2010.
[5] R. V. Rao and B. K. Patel, “Decision making in the manufacturing environment using an improved PROMETHEE method,” Int. J. Prod. Res., vol. 48, no. 16, pp. 4665–4682, 2010.
[6] R. V. Rao, “Machinability evaluation of work materials using a combined multiple attribute decision-making method,” Int. J. Adv. Manuf. Technol., vol. 28, no. 3–4, pp. 221–227, 2006.
[7] S. Thamizhmanii, S. Saparudin, and S. Hasan, “Analyses of surface roughness by turning process using Taguchi method,” J. Achiev. Mater. Manuf. Eng., vol. 20, no. 1–2, pp. 503–506, 2007.
[8] U. Zuperl, F. Cus, and M. Milfelner, “Fuzzy control strategy for an adaptive force control in end-milling,” J. Mater. Process. Technol., vol. 164–165, pp. 1472–1478, 2005.
[9] V. Sharma, J. Prakash Misra, and P. Singhal, “Multi-Optimization of Process parameters for Inconel 718 while Die-Sink EDM Using Multi-Criterion Decision Making Methods,” J. Phys. Conf. Ser., vol. 1240, no. 1, 2019.
[10] Santosh Kumar Patod, Dr. Suman Sharma "Optimization of CNC Turning Cutting Parameter for Geometrical Dimensional Accuracy with Surface roughness on the non-ferrous Material Applying Taguchi Technique" International Journal of Engineering Trends and Technology 67.12 (2019):56-66.
[11] V. Sharma, J. Prakash Misra, and P. Singhal, “Optimization of process parameters on Combustor Material Using Taguchi & MCDM Method in Electro-Discharge Machining ( EDM ),” Mater. Today Proc., vol. 18, pp. 2672–2678, 2019
[12] V. Sharma, P. Kumar and J.P. Misra, “Cutting force predictive modelling of hard turning operation using fuzzy logic”, MaterialsToday: Proceedings, https://doi.org/10.1016/j.matpr.2020.01.018
[13] T. L. Saaty, “Decision making with the analytic hierarchy process,” Int. J. Serv. Sci., vol. 1, no. 1, p. 83, 2008.
[14] Zerti, O., Yallese, M.A., Khettabi, R. et al. “Design optimization for minimum technological parameters when dry turning of AISI D3 steel using Taguchi method”. Int J Adv Manuf Technol 89, 1915– 1934 (2017)