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Decision-Making Method of Priority Welding Process

용접법의 우선순위 결정 방법

  • Kim, Jong-Do (Industru-Academic Cooperation Foundation, Jungwon Univ.) ;
  • Kim, Kwang-heui (Dept. of Mechanical Design Engineering, Pukyong National Univ.) ;
  • Yoon, Moon-Chul (Dept. of Mechanical Design Engineering, Pukyong National Univ.)
  • 김종도 (중원대학교 산학협력단) ;
  • 김광희 (부경대학교 기계설계공학과) ;
  • 윤문철 (부경대학교 기계설계공학과)
  • Received : 2016.04.25
  • Accepted : 2016.05.27
  • Published : 2016.10.31

Abstract

Nowadays, several welding processes are generally used to join parts together, and the materials are generally steel, aluminum, copper, stainless steel, and other difficult-to-weld materials. If a proper welding process is chosen, it is helpful for welding parts. However, there is no desirable technique for appropriately deciding on the welding process in the industry. Therefore, an appropriate method of selecting a welding process is needed for the novice worker in the industry. In this sense, a new analytic network process (ANP) technique is used for effective decision making in welding. By considering several criteria in ANP, a selection method is suggested to decide on the proper welding process. In the study, several criteria were considered for the proper welding of parts. By considering a matrix of prior interdependence effects among various welding processes, a decision-making method based on an ANP is accomplished using a weighting matrix, which is supposed to select an appropriate welding process. In addition, for appropriate decision criteria of the welding process, several factors, such as material, shape, precision, economics, and equipment, are used to accomplish the ANP algorithm. Moreover, the final weighting matrix is calculated following its ANP strategy. Furthermore, this decision-making technique is applied to both stainless razor spot joining and thick steel pipe joining. The results show its reliability and practicality, and the novice engineer and manager can use this technique to determine the best welding process.

Keywords

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