摘要
By applying genetic engineering methodology into the incremental product growth design,a generic structural design approach is put forward,as well as an intelligent evolution strategy of the product units growth,which is based on the multilevel Decomposition and Reconstruction of product gene. To guarantee a successful transformation from functional requirement to geometry constraints between parts in the incremental growth design of mechanical product,the integrated design method incorporates the design requirements and assembly perspective into product genetic information. The mathematical model of state transition during incremental design process are given at first,based on which product can grow step by step from functional requirement to the final geometrical product structure automatically. And then,to quantify the measurement of assembly efficiency,a mathematical model as well as a technology to quantify assembly constraints was developed by application of some fuzzy logic algorithms. Finally,examples have been proved that the approach is promising.
By applying genetic engineering methodology into the incremental product growth design,a generic structural design approach is put forward,as well as an intelligent evolution strategy of the product units growth,which is based on the multilevel Decomposition and Reconstruction of product gene. To guarantee a successful transformation from functional requirement to geometry constraints between parts in the incremental growth design of mechanical product,the integrated design method incorporates the design requirements and assembly perspective into product genetic information. The mathematical model of state transition during incremental design process are given at first,based on which product can grow step by step from functional requirement to the final geometrical product structure automatically. And then,to quantify the measurement of assembly efficiency,a mathematical model as well as a technology to quantify assembly constraints was developed by application of some fuzzy logic algorithms. Finally,examples have been proved that the approach is promising.
出处
《武汉理工大学学报》
CAS
CSCD
北大核心
2006年第S1期90-95,共6页
Journal of Wuhan University of Technology
基金
Funded by the Shandong Natural Science Foundation(Y2005F26) and the Scientific Research Foundation for doctor of Jinan Uni-versity(B0538)