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Sustainable Non Traditional Manufacturing Processes: A Case with Electrochemical Machining (ECM)
Abstract
Sustainable operations strategy, an important field of research for engineering optimization, is posing an increasing challenge to operations managers. Sustainable operations can become a key to competitive advantage. Consequently, there is a need for research for the complex interfaces between the dimensions of sustainable operations strategy. The companies need to accommodate environmental demands, emphasized by media and government, along with social aspect in day to day operations for formulating strategies. Non-traditional manufacturing processes involves mechanical, thermal, electrical or chemical energy or combinations of these energies but do not use a sharp cutting tools as required for traditional manufacturing processes. In this chapter a non-traditional machining process namely Electro chemical Machining (ECM) has been considered. Material Removal Rate (MRR) and Surface Roughness (SR) has been optimized using Taguchi, Grey Relation, Artificial Neural Network, Fuzzy Logic and Genetic Algorithm to achieve the best.
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