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Review of Approaches to Minimise the Cost of Simulation-Based Optimisation for Liquid Composite Moulding Processes

Authors :
Boon Xian Chai
Boris Eisenbart
Mostafa Nikzad
Bronwyn Fox
Yuqi Wang
Kyaw Hlaing Bwar
Kaiyu Zhang
Source :
Materials, Vol 16, Iss 24, p 7580 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

The utilisation of numerical process simulation has greatly facilitated the challenging task of liquid composite moulding (LCM) process optimisation, providing ease of solution evaluation at a significantly reduced cost compared to complete reliance on physical prototyping. However, due to the process complexity, such process simulation is still considerably expensive at present. In this paper, cost-saving approaches to minimising the computational cost of simulation-based optimisation for LCM processes are compiled and discussed. Their specific applicability, efficacy, and suitability for various optimisation/moulding scenarios are extensively explored in detail. The comprehensive analysation and assimilation of their operation alongside applicability for the problem domain of interest are accomplished in this paper to further complement and contribute to future simulation-based optimisation capabilities for composite moulding processes. The importance of balancing the cost-accuracy trade-off is also repeatedly emphasised, allowing for substantial cost reductions while ensuring a desirable level of optimization reliability.

Details

Language :
English
ISSN :
19961944
Volume :
16
Issue :
24
Database :
Directory of Open Access Journals
Journal :
Materials
Publication Type :
Academic Journal
Accession number :
edsdoj.12fd03d5ea60442087c06b7688af2829
Document Type :
article
Full Text :
https://doi.org/10.3390/ma16247580