Multi-objective optimization for sustainable turning Ti6Al4V alloy using grey relational analysis (GRA) based on analytic hierarchy process (AHP).

Younas, Muhammad; Jaffery, Syed Husain Imran; Khan, Mushtaq; Khan, Muhammad Ali; Ahmad, Riaz; Mubashar, Aamir; Ali, Liaqat

Abstract

Sustainable machining necessitates energy-efficient processes, longer tool lifespan, and greater surface integrity of the products in modern manufacturing. However, when considering Ti6Al4V alloy, these objectives turn out to be difficult to achieve as titanium alloys pose serious machinability challenges, especially at elevated temperatures. In this research, we investigate the optimal machining parameters required for turning of Ti6Al4V alloy. Turning experiments were performed to optimize four response parameters, i.e., specific cutting energy (SCE), wear rate (R), surface roughness (Ra), and material removal rate (MRR) with uncoated H13 carbide inserts in the dry cutting environment. Grey relational analysis (GRA) combined with the analytic hierarchy process (AHP) was performed to develop a multi-objective function. Response surface optimization was used to optimize the developed multi-objective function and determine the optimal cutting condition. As per the ANOVA, the interaction of feed rate and cutting speed (f × V) was found to be the most significant factor influencing the grey relational grade (GRG) of the multi-objective function. The optimized machining conditions increased the MRR and tool life by 34% and 7%, whereas, reducing the specific cutting energy and surface roughness by 6% and 2% respectively. Using Taguchi-based GRA by analytic hierarchy process (AHP) weights method, the benefits of high-speed machining Ti6Al4V through multi-response optimization were achieved.

Citation

YOUNAS, M., JAFFERY, S.H.I., KHAN, M., KHAN, M.A., AHMAD, R., MUBASHAR, A. and ALI, L. 2019. Multi-objective optimization for sustainable turning Ti6Al4V alloy using grey relational analysis (GRA) based on analytic hierarchy process (AHP). International journal of advanced manufacturing technology [online], 105(1-4), pages 1175-1188. Available from: https://doi.org/10.1007/s00170-019-04299-5

• Journal Article Type: Article
• Acceptance Date: Aug 13, 2019
• Online Publication Date: Aug 27, 2019
• Publication Date: Nov 30, 2019
• Deposit Date: Jun 28, 2022
• Publicly Available Date: Jun 28, 2022
• Journal: International Journal of Advanced Manufacturing Technology
• Print ISSN: 0268-3768
• Electronic ISSN: 1433-3015
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Volume: 105
• Issue: 1-4
• Pages: 1175-1188
• DOI: https://doi.org/10.1007/s00170-019-04299-5
• Keywords: Sustainable machining; Ti6Al4V alloy; Multi-objective optimization; Grey relational grade; Analytic hierarchy process
• Public URL: https://rgu-repository.worktribe.com/output/1674215