Abstract
The implementation of sustainable machining process can be accomplished by different strategies including process optimization and selection of the proper lubrication techniques and cutting conditions. The present study is carried out from the perspective of a sustainability assessment of turning Ti-6Al-4V by employing minimum quantity lubrication (MQL) and MQL-nanofluid with consideration of the surface quality, tool wear, and power consumption. A sustainability assessment algorithm was used to assess the cutting processes of Ti-6Al-4V alloy under a minimum quantity of lubrication–nanofluid to estimate the levels of sustainable design variables. The assessment included the sustainable indicators as well as the machining responses in a single integrated model. The sustainable aspects included in this study were; environmental impact, management of waste, and safety and health issues of operators. The novelty here lies in employing a comprehensive sustainability assessment model to discuss and understand the machining process with MQL-nanofluid, by not only considering the machining quality characteristics, but also taking into account different sustainability indicators. In order to validate the effectiveness of the sustainability results, a comparison between the optimal and predicted responses was conducted and a good agreement was noticed. It should be stated that MQL-nanofluid showed better results compared to the cutting tests conducted under using classical MQL.
Highlights
The constant pressure on the manufacturers to innovate and implement sustainable processes has triggered researching on machining with low carbon footprint, minimum energy consumption by machine tools and improved products at the lowest cost
Many researchers [15,16,17,18] used a green cutting technology known as minimal quantity lubricant where air is compressed and spurted into cutting region, so that the temperature and friction is reduced near the interface of the tool and chip, which in turn enhances the quality of the machining surface and increases the tool life
It is known that the feed rate has a significant effect on the surface roughness in machining processes
Summary
The constant pressure on the manufacturers to innovate and implement sustainable processes has triggered researching on machining with low carbon footprint, minimum energy consumption by machine tools and improved products at the lowest cost. A previous assessment algorithm [36] was used to assess the cutting processes of Ti-6Al-4V alloy under MQL-nanofluid approach to estimate the levels of sustainable design variables, while considering sustainable indicators as well as the machining responses (i.e., flank wear (VB), power consumption, and average surface roughness (Ra)).
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