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Investigation on surface roughness, tool wear and cutting power in MQL turning of bio-medical Ti-6Al-4V ELI alloy with sustainability.

Authors :
Rajan, K M
Kumar Sahoo, Ashok
Chandra Routara, Bharat
Kumar, Ramanuj
Source :
Proceedings of the Institution of Mechanical Engineers: Part E: Journal of Process Mechanical Engineering (Sage Publications, Ltd.); Aug2022, Vol. 236 Issue 4, p1452-1466, 15p
Publication Year :
2022

Abstract

Ti-6Al-4V ELI (Grade 23) is highly recommended for bio-materials and due to its low thermal conductivity and chemically reactive properties, machinability is poor. Thus the current work emphasized on the selection of appropriate cooling technique and optimal cutting parameters for machining of Ti-6Al-4V ELI alloy with sustainability analysis for surface roughness, flank wear and cutting power. Initially, the cutting performances under dry, flood and MQL environments are compared and MQL is observed to better performed. At lower speed (70 m/min), MQL exhibited 26.38% and 19.69% lesser surface roughness relative to dry and flood cooling individually. At the same cutting condition, MQL assisted cutting resulted in lower flank wear relative to dry (157. 33%) and flood cooling (40%). Further, a detailed investigation has been made under MQL through Taguchi L<subscript>18</subscript> design of experiments. The major mechanisms for flank wear are found to be abrasion, chipping and notch wear. Optimal data set through Grey relational analysis is found to be v<subscript>1</subscript> (70 m/min), f<subscript>1</subscript> (0.1 mm/rev) and d<subscript>1</subscript> (0.1 mm) and improved. Quadratic regression model is found to be significant for prediction of responses. Sustainability Pugh matrix assessment revealed that MQL environment enhanced the economical, technological as well as environmental and operator health aspects. Reduction of energy consumption by 53.96% and savings of carbon footprints by 68.46 kg of CO<subscript>2</subscript> observed under MQL at optimal conditions and thus saves manufacturing cost. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09544089
Volume :
236
Issue :
4
Database :
Complementary Index
Journal :
Proceedings of the Institution of Mechanical Engineers: Part E: Journal of Process Mechanical Engineering (Sage Publications, Ltd.)
Publication Type :
Academic Journal
Accession number :
157871870
Full Text :
https://doi.org/10.1177/09544089211063712