Designing plastic parts requires knowledge about the plastic injection process. Many efforts have been made to improve simulations of the process during the design phase. This paper presents the use of different Artificial Intelligence techniques to develop a decision support system for plastic parts designers. Our approach is based on computational argumentation (ARG) and case-based reasoning (CBR) to offer both a recommendation about the design and the reasoning process followed in order to select the best solution. Given the geometry of the part, type of material, mould material and defects to be avoided, the system combines a knowledge-based system (KBS) based on past design/decision experiences and designers' social debates for providing a set of recommendations, enabling to update the knowledge database by reusing and adapting solutions from previous designs.
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