The auto-generation of analysis models from product definition data

被引：2
|
作者：
Mayer, RJ
Su, CJ
Cecil, JA
Ding, CF
机构：
[1] Knowledge Based Systems Laboratory, Department of Industrial Engineering, Texas A and M University, College Station
来源：
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY | 1996年 / 12卷 / 03期
关键词：
analysis model; CAE; feature based methodology; geometric reasoning technique; product definition data;
D O I：
10.1007/BF01351199
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper describes a feature-based methodology for generating computer models for analysis from product definition data. Given the product definition data, the development of analysis models of the product suitable for performance analysis is a rime-consuming task that requires a considerable level of expertise and tedious feature modifications. A feature-based geometric reasoning technique is developed that can be used to reduce the lead time of analysis of models generated from product definition data and subsequently to shorten the process time of CAE (computer aided engineering) analysis.
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页码：197 / 206
页数：10
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