Knowledge-based Engineering of Automobile Sheet Metal Stamping Die Design

碩士 === 國立臺灣大學 === 機械工程學研究所 === 97 === Based on KBE(Knowledge-based Engineering) methodology, a design automation system for automobile sheet metal stamping die is proposed. The system integrates the feature recognition, process planning and die structure design, and the surface, feature, process and...

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Main Authors: Jhen-Yang Lin, 林振揚
Other Authors: 尤春風
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/90064775806008650034
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spelling ndltd-TW-097NTU054891092016-05-02T04:11:08Z http://ndltd.ncl.edu.tw/handle/90064775806008650034 Knowledge-based Engineering of Automobile Sheet Metal Stamping Die Design 汽車鈑金沖壓模具設計之知識工程 Jhen-Yang Lin 林振揚 碩士 國立臺灣大學 機械工程學研究所 97 Based on KBE(Knowledge-based Engineering) methodology, a design automation system for automobile sheet metal stamping die is proposed. The system integrates the feature recognition, process planning and die structure design, and the surface, feature, process and die structure data will be stored in the database. There are two goals to be achieved: one is assisting enterprises with preserving tacit knowledge of die design and promoting knowledge management; the other is accelerating the die design by automation. To represent the feature of sheet metal and the process of stamping die, this paper defines the feature protocol and process protocol. A sheet metal comparison algorithm based on the feature protocol is proposed, retrieving the similar design case more efficiently. The KBE system was implemented by Java language and embedded Spring Solid System for STEP file importing. The CATIA CAD platform was applied for the construction of die CAD model. Using of CATIA CAD model template is constructed the die template database. An architecture transforming process data into die model is also proposed. This paper also presentes the research method for connecting Java and CATIA platform, for connecting the bridge between KBE and CAD platform. 尤春風 2009 學位論文 ; thesis 107 zh-TW
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description 碩士 === 國立臺灣大學 === 機械工程學研究所 === 97 === Based on KBE(Knowledge-based Engineering) methodology, a design automation system for automobile sheet metal stamping die is proposed. The system integrates the feature recognition, process planning and die structure design, and the surface, feature, process and die structure data will be stored in the database. There are two goals to be achieved: one is assisting enterprises with preserving tacit knowledge of die design and promoting knowledge management; the other is accelerating the die design by automation. To represent the feature of sheet metal and the process of stamping die, this paper defines the feature protocol and process protocol. A sheet metal comparison algorithm based on the feature protocol is proposed, retrieving the similar design case more efficiently. The KBE system was implemented by Java language and embedded Spring Solid System for STEP file importing. The CATIA CAD platform was applied for the construction of die CAD model. Using of CATIA CAD model template is constructed the die template database. An architecture transforming process data into die model is also proposed. This paper also presentes the research method for connecting Java and CATIA platform, for connecting the bridge between KBE and CAD platform.
author2 尤春風
author_facet 尤春風
Jhen-Yang Lin
林振揚
author Jhen-Yang Lin
林振揚
spellingShingle Jhen-Yang Lin
林振揚
Knowledge-based Engineering of Automobile Sheet Metal Stamping Die Design
author_sort Jhen-Yang Lin
title Knowledge-based Engineering of Automobile Sheet Metal Stamping Die Design
title_short Knowledge-based Engineering of Automobile Sheet Metal Stamping Die Design
title_full Knowledge-based Engineering of Automobile Sheet Metal Stamping Die Design
title_fullStr Knowledge-based Engineering of Automobile Sheet Metal Stamping Die Design
title_full_unstemmed Knowledge-based Engineering of Automobile Sheet Metal Stamping Die Design
title_sort knowledge-based engineering of automobile sheet metal stamping die design
publishDate 2009
url http://ndltd.ncl.edu.tw/handle/90064775806008650034
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AT línzhènyáng qìchēbǎnjīnchōngyāmójùshèjìzhīzhīshígōngchéng
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