摘要
通过分析面向可重构机床设计的工艺规划中的关键步骤———整个零件族的工序组合,提出了基于位置公差、并行加工的单一零件工序的组合方法,建立了可在整个零件族内识别相似子工序组的模式识别问题的数学模型及其识别算法.通过研究单一零件工序组合之间的相似性判定准则和改进k 平均算法,提出了一种多零件工序的组合方法.结果表明,通过在整个零件族内识别相似的工序并组合,可以显著地降低机床的复杂性和重构成本,从而大大有利于可重构机床的设计.
The operation clustering over the entire part family is the prerequisite for reconfigurable machine tool (RMT) design. Based on analysis of the process planning for RMT design, tolerance-based and con-current-machining-based clustering method for a single part were proposed, and the mathematic model and algorithm of the pattern recognition for recognizing the similar sub-operation group within the entire part family were established. With studying the similarity measure between the single part operation clustering and improving k-means algorithm, a clustering method for multi-part operations was presented. The results show that the complexity and reconfiguration cost of machine tools can be reduced evidently by identifying and clustering the similar operations over the entire part family, which can benefit RMT design.
出处
《浙江大学学报(工学版)》
EI
CAS
CSCD
北大核心
2004年第11期1496-1501,1525,共7页
Journal of Zhejiang University:Engineering Science
基金
浙江省自然科学基金资助项目(502056).
关键词
可重构机床
工艺规划
工序组合
模式识别
Classification (of information)
Computer aided manufacturing
Mathematical models
Pattern recognition
Process control
Product design