Abstract
Sustainable machining of metallic parts offers significant economic, environmental and societal benefits to metal cutting industries. Although dry machining technology bring sustainability in machining industries but requires significant attention to get high productivity without affecting the geometrical accuracy and surface finish. The present work proposed a unified framework to model and optimize the process, when applied to sustainability. A CNC machine is used to turn the mild steel parts with the help of carbide inserts (TNMG 160408CQ). Taguchi L27 orthogonal array is used to model the turning process and analyze the factors (cutting speed, depth of cut and feed rate) on material removal rate, MRR, surface roughness, SR and circularity error, CE. Further, attempts are made to optimize the sustainability index taken into account of economic (higher MRR), social (desired lower SR and CE) and environmental (dry machining) aspects. To attain the said goal two popular optimization models (data envelopment analysis ranking, DEAR and multi-objective optimization on the basis of ratio analysis, MOORA) are considered. The said models are compared among themselves and proposed a single optimal condition for the turning process.
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