摘要
可重构制造是未来解决批量加工中高效、低成本与生产柔性之间矛盾的新型制造模式,建立与可重构机床设计紧密联系的零件族加工工艺方案对实现可重构制造具有重要意义。首先建立面向零件族的加工信息矩阵,进而形成零件的加工工序单元序列及工序单元顺序矩阵;依据零件可并行加工的方位组合,基于模糊聚类多层次分析法,将零件间相似的工序单元序列组配成工序段序列,再由零件间相似的工序段序列创成出零件工艺方案;最终通过零件间工艺方案的模糊聚类相似度计算,得到零件族中零件间最为相似的加工工艺方案,实现零件间加工工艺的快速转换。以某汽车变速箱体零件族的加工为例,验证了该方法的可行性。
Reconfigurable manufacturing is a novel manufacturing paradigm of the future,which can solve the contradiction of high efficiency,low cost and flexible production for high-volume mass production.The approach to the process planning for a given part family tightly related to the design of reconfigurable machine tools is of importance for the reconfigurable manufacturing implementation.Processing information matrices of part family are built up firstly,with the sequential process units of the parts and their processing-sequenced matrices established.The directions in which the parts can be machined concurrently are determined firstly;through fuzzy clustering and multilevel analysis,the similar sequential process units of the parts are combined to create the sequential process sections;feasible processing schemes of the parts can be generated by the similar sequential process sections.Through the fuzzy clustering similarity-analysis of the processing schemes of the parts,many most similar processing schemes for the parts of one part family can be obtained,with the processing schemes of different parts transformed rapidly.The process planning of a part family of auto gearbox housing as an application example is given to verify the feasibility of the presented method.
作者
王永泉
张广鹏
张倩
WANG Yongquan;ZHANG Guangpeng;ZHANG Qian(School of Mechanical and Precision Instrument Engineering,Xi'an University of Technology,Xi'an 710048, China;School of Mechanical Engineering,HuBei University of Automotive Technology,Shiyan 442002,China)
出处
《西安理工大学学报》
CAS
北大核心
2019年第2期127-137,共11页
Journal of Xi'an University of Technology
基金
国家自然科学基金资助项目(50875208)
关键词
可重构制造
零件族工艺规划
可重构机床
模糊聚类分析
reconfigurable manufacturing
process planning for part family
reconfigurable machine tools
fuzzy clustering analysis
