吉林大学学报(工学版) ›› 2004, Vol. ›› Issue (1): 56-59.

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Study on intelligent choice of parameters of resistance spot welding for aluminum alloys

CAO Hai-peng, ZHAO Xi-hua, ZHAO Lei   

  1. College of Material Science and Engineering, Jilin University, Changchun 130025, China
  • Received:2003-06-03 Online:2004-01-01

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Abstract: Characters of resistant spot welding case were divided into two categories,i.e.,case characters Ⅰ and case characters Ⅱ by analyzing the process in the light of attributes of case based reasoning (CBR).The following retrieval strategy from similar spot welding cases for aluminum alloys was proposed:under the restraint of case characters Ⅰ,the thermal physical properties of material and the plate thickness involved in case character Ⅱ were taken as indexes to retrieve the similar cases.The technological knowledge and rules drawn and summarized from the corresponding similar cases database by means of fuzzy inference were used to guide the solution of the new case.It is a good approach to deal with the problem that in the design of spot welding process for aluminum alloys,it is difficult to build an appropriate model to revise the retrieved similar case on CBR.The proposed intelligent choice of the spot welding parameters bears a more resemblance to the thinking mode of experts in this field.The choice process is flexible and open to environment.Application instances of the system and technological verification show that the developed approach is practicable.

Key words: resistance spot welding, welding parameters, case based reasoning, fuzzy inference, artificial intelligence, aluminum alloys

CLC Number: 

  • TP182
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