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윤문철(M. C. Yoon) 한국동력기계공학회 2009 한국동력기계공학회 학술대회 논문집 Vol.2009 No.11
Nowadays, several nontraditional machining(NTM) process are widely used to machine a complex and accurate shape part of hard materials, such as titanium, ceramics, high strength temperature resistant and refractory materials which are difficult to machine and having high strength, hardness, toughness. Machining of these complex shapes in such materials by traditional machining processes are very difficult. The NTM processes is important in the areas of micro- and nano scale machining, where high accuracy and superior surface characteristics are required, which can only be achieved using these NTM processes. So, for effective selection of different NTM processes, careful decision making for a given NTM application is often necessary. A selection of a best NTM process for a given material and shape condition is very difficult for the novice engineers. In this paper, an expert system based on an analytic network process (ANP) is suggested for a selection of NTM process appropriately in a NTM application considering an interdependency among various factors.