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Simulation-based optimisation for injection configuration design of liquid composite moulding processes: A review

Journal

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.compositesa.2021.106540

Keywords

C; Numerical analysis; C; Process modelling; E; Liquid composite moulding; E; Resin flow

Funding

  1. Ford Motor Company [URP2016-4010R]

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The advancements in process modelling and simulation for composites manufacturing have led to the importance of mould design optimization for improving manufacturing efficiency and product quality, particularly through the introduction of optimization algorithms in predictive numerical simulations. As simulation-based optimization becomes more prevalent, the discussion on search performance, solution optimality, and application suitability of different algorithms in various moulding scenarios is crucial for providing guidelines for future optimization studies.
Process modelling and simulation for composites manufacturing have advanced remarkably lately, evolving from just an assistive design tool to playing a pivotal role in the optimisation of Liquid Composite Moulding (LCM) processes. In particular, to improve the mould filling stage, the placement optimisation of resin injection gates and air vents on the mould design has received great research attention due to their substantial influence on the manufacturing efficiency and product quality. When optimisation algorithms are introduced into predictive numerical simulations to assist mould design, the notion of simulation-based optimisation is formed. This review provides a comprehensive literature compilation on the state-of-the-art of simulation-based optimisation of gates and vents configuration for LCM processes, focusing on the optimisation algorithms adopted and their respective search strategies. The search performance, solution optimality and application suitability of each algorithm with respect to different moulding scenarios are discussed to provide helpful guidelines for future optimisation studies.

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