Combining Expert Formula and Geometric Feature Extraction for Die Design

Die design is a critical phase in extrusion industry for aluminium products with complex geometries. An acceptable die design generally required tedious finite-element analysis and necessitates hundreds of computer simulations, requiring several weeks or months of lead time. In this paper, we focuse...

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Main Authors: Pao, William K. S., Lin, Chao
Format: Conference or Workshop Item
Published: 2012
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Online Access:http://eprints.utp.edu.my/7944/1/1569553057.pdf
http://eprints.utp.edu.my/7944/
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spelling my.utp.eprints.79442017-01-19T08:21:34Z Combining Expert Formula and Geometric Feature Extraction for Die Design Pao, William K. S. Lin, Chao TJ Mechanical engineering and machinery TS Manufactures Die design is a critical phase in extrusion industry for aluminium products with complex geometries. An acceptable die design generally required tedious finite-element analysis and necessitates hundreds of computer simulations, requiring several weeks or months of lead time. In this paper, we focused on one particular aspects of extrusion die design, namely the optimisation of the locality of the die orifice and the maximum number of orifice that can be placed in the die head. To achieve this, we combine the medial-axes transformation algorithm, a tool for geometric interrogation, and heuristic empirical design formula to locate the optimum die location and proceed to estimate the maximum possible number of die orifice allowed for a given geometries. The analyses show that our proposed algorithm can be implemented easily and results can be obtained almost immediately. 2012-06-12 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/7944/1/1569553057.pdf Pao, William K. S. and Lin, Chao (2012) Combining Expert Formula and Geometric Feature Extraction for Die Design. In: ICPER 2012, 12-14 June 2012, KLCC. http://eprints.utp.edu.my/7944/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic TJ Mechanical engineering and machinery
TS Manufactures
spellingShingle TJ Mechanical engineering and machinery
TS Manufactures
Pao, William K. S.
Lin, Chao
Combining Expert Formula and Geometric Feature Extraction for Die Design
description Die design is a critical phase in extrusion industry for aluminium products with complex geometries. An acceptable die design generally required tedious finite-element analysis and necessitates hundreds of computer simulations, requiring several weeks or months of lead time. In this paper, we focused on one particular aspects of extrusion die design, namely the optimisation of the locality of the die orifice and the maximum number of orifice that can be placed in the die head. To achieve this, we combine the medial-axes transformation algorithm, a tool for geometric interrogation, and heuristic empirical design formula to locate the optimum die location and proceed to estimate the maximum possible number of die orifice allowed for a given geometries. The analyses show that our proposed algorithm can be implemented easily and results can be obtained almost immediately.
format Conference or Workshop Item
author Pao, William K. S.
Lin, Chao
author_facet Pao, William K. S.
Lin, Chao
author_sort Pao, William K. S.
title Combining Expert Formula and Geometric Feature Extraction for Die Design
title_short Combining Expert Formula and Geometric Feature Extraction for Die Design
title_full Combining Expert Formula and Geometric Feature Extraction for Die Design
title_fullStr Combining Expert Formula and Geometric Feature Extraction for Die Design
title_full_unstemmed Combining Expert Formula and Geometric Feature Extraction for Die Design
title_sort combining expert formula and geometric feature extraction for die design
publishDate 2012
url http://eprints.utp.edu.my/7944/1/1569553057.pdf
http://eprints.utp.edu.my/7944/
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score 13.18916