Study on integrated fixture design system

被引：0
|
作者：
Chen, Guang-Feng [1 ]
Sun, Yi-Ze [1 ]
Liu, Wen-Jian [2 ]
机构：
[1] Donghua Univ, Coll Mech Engn, Shanghai 201620, Peoples R China
[2] Harbin Inst Technol, Coll Mech Engn, Harbin 150001, Peoples R China
来源：
PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2007年
关键词：
fixture design; fixture planning; CBR; fuzzy evaluation method;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a fixture design system which integrates generative and variant fixture design systems. A new approach for case base variant fixture design is proposed. An effective fixture similarity measure is introduced by combining template retrieval and nearest neighbour algorithm. Adaptation case modification method is provided. Element selection automation is realized by RBR and db-search program. A case study is presented to illustrate the issues and show the effectiveness of the presented system.
引用
收藏
页码：2362 / +
页数：2
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