Sustainability analysis of Ti-6Al-4V machining using statistical design methods: effects of cooling techniques and machining strategies

Minimising energy consumption and making machining processes more environmentally friendly are the two essential requirements of sustainable machining. As a result, development of technologically advanced yet efficient machining processes with minimum energy consumption and least toxic wastes is an evolving field of research and study. In this paper, effects of several lubrication techniques as well as different machining strategies (classic and hybrid), when machining Ti-6Al-4V, have been studied. Three different factors, namely energy consumption, surface quality and flank wear have been measured during the tests to evaluate the effectiveness of different lubrication techniques and machining strategies. Analysis of variance (ANOVA) has also been employed to analyse the influence of process parameters on the above-mentioned factors to determine the optimum levels of machining parameters and verify the experimental results. Accuracy of the model has finally been verified using the ANOVA results.