Warpage optimization of a name card holder using neural network model

Injection molding has become widely process that used in plastic manufacturing. To produce high quality product, it has to consider the process condition. In this study, optimum parameters for injection molding of a name card holder are determined. Finite element software MoldFlow, statistical desi...

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Main Author:	Ahmad Amiruddin, Rosdi
Format:	Undergraduates Project Papers
Language:	English English English English
Published:	2009
Subjects:	TP Chemical technology
Online Access:	http://umpir.ump.edu.my/id/eprint/1172/ http://umpir.ump.edu.my/id/eprint/1172/ http://umpir.ump.edu.my/id/eprint/1172/7/Warpage%20optimization%20of%20a%20name%20card%20holder%20using%20neural%20network%20model%20-%20table%20of%20content.pdf http://umpir.ump.edu.my/id/eprint/1172/4/Warpage%20optimization%20of%20a%20name%20card%20holder%20using%20neural%20network%20model%20-%20abstract.pdf http://umpir.ump.edu.my/id/eprint/1172/5/Warpage%20optimization%20of%20a%20name%20card%20holder%20using%20neural%20network%20model%20-%20chapter%201.pdf http://umpir.ump.edu.my/id/eprint/1172/6/Warpage%20optimization%20of%20a%20name%20card%20holder%20using%20neural%20network%20model%20-%20references.pdf

id	ump-1172
recordtype	eprints
spelling	ump-11722017-04-10T01:06:41Z http://umpir.ump.edu.my/id/eprint/1172/ Warpage optimization of a name card holder using neural network model Ahmad Amiruddin, Rosdi TP Chemical technology Injection molding has become widely process that used in plastic manufacturing. To produce high quality product, it has to consider the process condition. In this study, optimum parameters for injection molding of a name card holder are determined. Finite element software MoldFlow, statistical design of experiment and artificial neural network are used in finding optimum value. The process parameter influencing warpage is determined using finite element software based on data using full factorial design. By exploiting finite element analysis result, a predictive model using artificial neural network is created. Optimum value is determined by comparing result by using finite element analysis and optimization using artificial neural network and choose the smallest percentage of error. 2009-11 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1172/7/Warpage%20optimization%20of%20a%20name%20card%20holder%20using%20neural%20network%20model%20-%20table%20of%20content.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/1172/4/Warpage%20optimization%20of%20a%20name%20card%20holder%20using%20neural%20network%20model%20-%20abstract.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/1172/5/Warpage%20optimization%20of%20a%20name%20card%20holder%20using%20neural%20network%20model%20-%20chapter%201.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/1172/6/Warpage%20optimization%20of%20a%20name%20card%20holder%20using%20neural%20network%20model%20-%20references.pdf Ahmad Amiruddin, Rosdi (2009) Warpage optimization of a name card holder using neural network model. Faculty of Mechanical Engineering , UNIVERSITI MALAYSIA PAHANG. http://iportal.ump.edu.my/lib/item?id=chamo:45977&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English English English
topic	TP Chemical technology
spellingShingle	TP Chemical technology Ahmad Amiruddin, Rosdi Warpage optimization of a name card holder using neural network model
description	Injection molding has become widely process that used in plastic manufacturing. To produce high quality product, it has to consider the process condition. In this study, optimum parameters for injection molding of a name card holder are determined. Finite element software MoldFlow, statistical design of experiment and artificial neural network are used in finding optimum value. The process parameter influencing warpage is determined using finite element software based on data using full factorial design. By exploiting finite element analysis result, a predictive model using artificial neural network is created. Optimum value is determined by comparing result by using finite element analysis and optimization using artificial neural network and choose the smallest percentage of error.
format	Undergraduates Project Papers
author	Ahmad Amiruddin, Rosdi
author_facet	Ahmad Amiruddin, Rosdi
author_sort	Ahmad Amiruddin, Rosdi
title	Warpage optimization of a name card holder using neural network model
title_short	Warpage optimization of a name card holder using neural network model
title_full	Warpage optimization of a name card holder using neural network model
title_fullStr	Warpage optimization of a name card holder using neural network model
title_full_unstemmed	Warpage optimization of a name card holder using neural network model
title_sort	warpage optimization of a name card holder using neural network model
publishDate	2009
url	http://umpir.ump.edu.my/id/eprint/1172/ http://umpir.ump.edu.my/id/eprint/1172/ http://umpir.ump.edu.my/id/eprint/1172/7/Warpage%20optimization%20of%20a%20name%20card%20holder%20using%20neural%20network%20model%20-%20table%20of%20content.pdf http://umpir.ump.edu.my/id/eprint/1172/4/Warpage%20optimization%20of%20a%20name%20card%20holder%20using%20neural%20network%20model%20-%20abstract.pdf http://umpir.ump.edu.my/id/eprint/1172/5/Warpage%20optimization%20of%20a%20name%20card%20holder%20using%20neural%20network%20model%20-%20chapter%201.pdf http://umpir.ump.edu.my/id/eprint/1172/6/Warpage%20optimization%20of%20a%20name%20card%20holder%20using%20neural%20network%20model%20-%20references.pdf
first_indexed	2023-09-18T21:54:05Z
last_indexed	2023-09-18T21:54:05Z
_version_	1777413962621517824

Warpage optimization of a name card holder using neural network model

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