摘要
The choice of the sequence in which parts or subass em blies are put together in the mechanical assembly of a product can drastical ly affect the efficiency of the assembly process. Unlike metal cutting operation s where computer aided system have been available for some 15 to 25 years to hel p manufacturing engineers in generating cutting sequences and NC programs, the m ajority of assembly planning tasks in automobile body design is still manually p erformed by assembly designers according to their past experiences. This has prolonged the production lead time and time to market. This paper describes a p rocedure to automatically derive all the feasible assembly sequences for automob ile body assembly. The procedure is based on a mathematical model of the automob ile body, obtained through the definitions of the connection matrix and contract ed matrix. These two matrices represent the precedence constraint knowledge amon g components and subassemblies. The possible subassemblies are automatically det ected by satisfying some mathematical conditions applicable to these matrices. F or each subassembly and the whole product, all the possible assembly sequences a re generated by rearranging the initial connection sub-matrix and the contracte d matrix. The procedure is applicable to compliant component assemblies, suc h as the automobile body assembly, aircraft frame assembly, and can solve the "combinatorial explosion" problem efficiently.
The choice of the sequence in which parts or subass em blies are put together in the mechanical assembly of a product can drastical ly affect the efficiency of the assembly process. Unlike metal cutting operation s where computer aided system have been available for some 15 to 25 years to hel p manufacturing engineers in generating cutting sequences and NC programs, the m ajority of assembly planning tasks in automobile body design is still manually p erformed by assembly designers according to their pa...
出处
《厦门大学学报（自然科学版）》
CAS
CSCD
北大核心
2002年第S1期145-,共1页
Journal of Xiamen University：Natural Science
