To apply fuzzy theory in the control of weld line of plastic injection-molding

Mei Yung Chen; Yi Cheng Chen; Shia Chung Chen

To apply fuzzy theory in the control of weld line of plastic injection-molding

Mei Yung Chen, Yi Cheng Chen, Shia Chung Chen

Department of Mechartronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

This study concerns the application fuzzy theory on the control of weld line positions of injection molded parts. The study utilizes the molding experiences of expert to construct a dialog way of IF∼THEN∼ to set the fuzzy production rules. Then the rules are applied to an example case to the control of weld line position by adjusting gate location and part thickness. The present algorithm not only succeeds in such application but also reduces the simulation time by try and error resulting in speeding up the mold design process.

Original language	English
Title of host publication	2004 IEEE Conference on Cybernetics and Intelligent Systems
Pages	1136-1141
Number of pages	6
Publication status	Published - 2004 Dec 1
Event	2004 IEEE Conference on Cybernetics and Intelligent Systems - , Singapore Duration: 2004 Dec 1 → 2004 Dec 3

Other

Other	2004 IEEE Conference on Cybernetics and Intelligent Systems
Country/Territory	Singapore
Period	2004/12/01 → 2004/12/03

Keywords

Experience
Expert
Fuzzy Theory
Injection
Line Position
Molding
Weld

ASJC Scopus subject areas

Engineering(all)

Cite this

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title = "To apply fuzzy theory in the control of weld line of plastic injection-molding",

abstract = "This study concerns the application fuzzy theory on the control of weld line positions of injection molded parts. The study utilizes the molding experiences of expert to construct a dialog way of IF∼THEN∼ to set the fuzzy production rules. Then the rules are applied to an example case to the control of weld line position by adjusting gate location and part thickness. The present algorithm not only succeeds in such application but also reduces the simulation time by try and error resulting in speeding up the mold design process.",

keywords = "Experience, Expert, Fuzzy Theory, Injection, Line Position, Molding, Weld",

author = "Chen, {Mei Yung} and Chen, {Yi Cheng} and Chen, {Shia Chung}",

year = "2004",

month = dec,

day = "1",

language = "English",

isbn = "0780386442",

pages = "1136--1141",

booktitle = "2004 IEEE Conference on Cybernetics and Intelligent Systems",

note = "2004 IEEE Conference on Cybernetics and Intelligent Systems ; Conference date: 01-12-2004 Through 03-12-2004",

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TY - GEN

T1 - To apply fuzzy theory in the control of weld line of plastic injection-molding

AU - Chen, Mei Yung

AU - Chen, Yi Cheng

AU - Chen, Shia Chung

PY - 2004/12/1

Y1 - 2004/12/1

N2 - This study concerns the application fuzzy theory on the control of weld line positions of injection molded parts. The study utilizes the molding experiences of expert to construct a dialog way of IF∼THEN∼ to set the fuzzy production rules. Then the rules are applied to an example case to the control of weld line position by adjusting gate location and part thickness. The present algorithm not only succeeds in such application but also reduces the simulation time by try and error resulting in speeding up the mold design process.

AB - This study concerns the application fuzzy theory on the control of weld line positions of injection molded parts. The study utilizes the molding experiences of expert to construct a dialog way of IF∼THEN∼ to set the fuzzy production rules. Then the rules are applied to an example case to the control of weld line position by adjusting gate location and part thickness. The present algorithm not only succeeds in such application but also reduces the simulation time by try and error resulting in speeding up the mold design process.

KW - Experience

KW - Expert

KW - Fuzzy Theory

KW - Injection

KW - Line Position

KW - Molding

KW - Weld

UR - http://www.scopus.com/inward/record.url?scp=11244304570&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=11244304570&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:11244304570

SN - 0780386442

SN - 9780780386440

SP - 1136

EP - 1141

BT - 2004 IEEE Conference on Cybernetics and Intelligent Systems

T2 - 2004 IEEE Conference on Cybernetics and Intelligent Systems

Y2 - 1 December 2004 through 3 December 2004

ER -

To apply fuzzy theory in the control of weld line of plastic injection-molding

Abstract

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Keywords

ASJC Scopus subject areas

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