Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/34812
Title: Numerical methods to improve the computational efficiency of thermal analysis for the die casting process
Authors: Xiong, SM
Lau, F
Lee, WB 
Jia, LR
Keywords: Die casting
Thermal analysis
Computational efficiency
Issue Date: 2003
Publisher: Elsevier
Source: Journal of materials processing technology, 2003, v. 139, no. 1-3, p. 457-461 How to cite?
Journal: Journal of materials processing technology 
Abstract: The temperature distributions in the die casting and the dies are of great influence on the quality of the die casting and the life cycle of the dies, so that many efforts have been made in the numerical simulation of heat transfer in the die casting process. In order to improve the computational efficiency of thermal analysis of the die casting process, three kinds of numerical methods were employed. First, the component-wise splitting method was adopted to solve the three-dimensional heat transfer problem in the die casting process. The method is unconditionally stable and suitable for simulating fast transient phenomena and for computations on fine meshes. Secondly, an irregular mesh system was developed to reduce the total grid number of the analysis system. The corresponding finite difference algorithm of the component-wise splitting method was also developed. Thirdly, a transient surface layer concept was used to divide the computational area into a transient area and a steady area, where different time steps can be applied to these areas to improve the computational efficiency. A three-dimensional thermal analysis system was developed with the numerical methods and a practical die casting component was simulated with focus on the computational efficiency.
URI: http://hdl.handle.net/10397/34812
ISSN: 0924-0136
EISSN: 1873-4774
DOI: 10.1016/S0924-0136(03)00553-3
Appears in Collections:Journal/Magazine Article

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

SCOPUSTM   
Citations

11
Citations as of Feb 26, 2017

WEB OF SCIENCETM
Citations

6
Last Week
0
Last month
Citations as of Aug 14, 2017

Page view(s)

52
Last Week
3
Last month
Checked on Aug 13, 2017

Google ScholarTM

Check

Altmetric



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