Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/33768
Title: Intelligent process design system for the transfer moulding of electronic packages
Authors: Tong, KW
Kwong, CK 
Yu, KM 
Issue Date: 2004
Source: International journal of production research, 2004, v. 42, no. 10, p. 1911-1931
Abstract: Currently, mould design and the setting of the process parameters of transfer moulding for electronic packages are done manually in a trial-and-error manner. The effectiveness of the setting of parameters is largely dependent on the experience of engineers. The paper describes an intelligent process design system for transfer moulding of electronic packages that is used to determine optimal mould design parameters and the setting of the process parameters mainly based on case-based reasoning, artificial neural networks and a multiobjective optimization scheme. The system consists of two modules: a case-based reasoning module and a process optimization module. The former module is used to determine initial mould design parameters and the setting of the process parameters while the latter module is used to determine optimal mould design parameters and the setting of the process parameters. Implementation of the intelligent system has demonstrated that the time for the determination of optimal mould design parameters and the setting of the process parameters can be greatly reduced, and the setting of parameters recommended by the system can contribute to the good quality of moulded packages.
Publisher: Taylor & Francis
Journal: International journal of production research 
ISSN: 0020-7543
EISSN: 1366-588X
DOI: 10.1080/00207540310001652860
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

27
Last Week
0
Last month
0
Citations as of Aug 28, 2020

WEB OF SCIENCETM
Citations

26
Last Week
0
Last month
0
Citations as of Sep 20, 2020

Page view(s)

123
Last Week
0
Last month
Citations as of Sep 21, 2020

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.