Journal of the Korean Society of Manufacturing Technology Engineers (한국생산제조학회지)

The Korean Society of Manufacturing Technology Engineers (한국생산제조학회)
권호 표지

Development of Expert System for the Diagnostic of NTM Decision-Making

특수가공법 의사결정 진단 전문가 시스템 개발

  • Published : 2010.02.15
Download PDF
⟨ Previous Next ⟩

Abstract

Nowadays, several nontraditional machining(NTM) processes 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. An appropriate 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 best selection of NTM process in a NTM application considering an prior interdependency effect among various factors.

Keywords

References

  1. Lim, Y. H., 1990, Nontraditional Machining, Gijun Press Co., Seoul.
  2. Kalpakjian, S. and Schmid, S., 2006, Manufacturing Engineering and Technology, Prentice Hall, New Jersey .
  3. Cogun, C., 1994, "Computer aided preliminary selection of non-traditional machining processes," Int. J Mach. Tools Manu., Vol. 34, pp. 315-326. https://doi.org/10.1016/0890-6955(94)90002-7
  4. Chakroborty, S. and Dey, S., 2006, "Design of an analytic-hierarchy-process-based expert system for non-traditional machining process selection," Int. J. Adv. Manu. Technol., Vol. 31, No. 5-6, pp. 490-500. https://doi.org/10.1007/s00170-005-0216-5
  5. Chakroborty, S. and Dey, S., 2007, "QFD-based expert system for non-traditional machining processes selection," Expert Systems with Applications, Vol. 32, No. 4, pp. 1208-1217. https://doi.org/10.1016/j.eswa.2006.02.010
  6. Chakladar, N. D., Das, R., and Chakraborty, S. 2008, "A digraph-based expert system for nontraditional machining processes selection," Int. J. Adv. Manuf. Technol., Vol. 43, No. 3-4, pp. 226-237.
  7. Chakraborty, S. and Banik, D., 2006, "Design of a material handling equipment selection model using analytic hierarchy process," I. J. AMT, Vol. 28, pp.1237-1245.
  8. Saaty, T. L., 1980, Analytic hierarchy process, McGrawHill, New York.