2008
DOI: 10.1016/j.jmatprotec.2007.05.018
|View full text |Cite
|
Sign up to set email alerts
|

A computational model for the cooling phase of injection moulding

Abstract: This paper discusses the approaches and techniques used to build a realistic numerical model to analyse the cooling phase of the injection moulding process. The procedures employed to select an appropriate mesh and the boundary and initial conditions for the problem are discussed and justified. The final model is validated using direct comparisons with experimental results generated in an earlier study. The model is shown to be a useful tool for further studies aimed at optimising the cooling phase of the inje… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
9
0

Year Published

2010
2010
2017
2017

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 11 publications
(9 citation statements)
references
References 4 publications
0
9
0
Order By: Relevance
“…16 In fact, the thermal properties of polymers are timedependent, and this characteristic significantly influences the analysis results. 24,25 Three-dimensional CAE simulation software tackles this problem very well, so the precise result can be obtained in comparison with applying the analytical method with constant thermal properties. Moreover, the ability of coupling with filling and packing computation, warpage and residual stress analysis as well as convenient graphical visualization are also the strong points of 3D CAE simulation.…”
Section: Systematic Procedures For Optimizationmentioning
confidence: 99%
“…16 In fact, the thermal properties of polymers are timedependent, and this characteristic significantly influences the analysis results. 24,25 Three-dimensional CAE simulation software tackles this problem very well, so the precise result can be obtained in comparison with applying the analytical method with constant thermal properties. Moreover, the ability of coupling with filling and packing computation, warpage and residual stress analysis as well as convenient graphical visualization are also the strong points of 3D CAE simulation.…”
Section: Systematic Procedures For Optimizationmentioning
confidence: 99%
“…TCR is the function of a gap, roughness of contact surface, time and process parameters. The values of TCR are very different, 29,34,[40][41][42][43][44][45] and they are often obtained by experiment. In this study, HTC is set to 10,000 W/m 2°C at the beginning of cooling stage; this value decreases exponentially to 2000 W/m 2°C after one tenth of total cooling time and keep constant during the time left.…”
Section: Physical-mathematical Model and Numerical Solutionmentioning
confidence: 99%
“…TCR is the function of a gap, roughness of contact surface, time, and process parameters. The values of TCR are very different (Yu et al, 1990;C-MOLD, 1997;Delaunay et al, 2000;Sridhar & Narh, 2000;Le Goff et al, 2005;Dawson et al, 2008;Hioe et al, 2008;Smith et al, 2008), and they are often obtained by experiment.…”
Section: Physical and Mathematical Modeling Of Cooling Channelsmentioning
confidence: 99%