Injection molding process is without doubt a multi-objective process if processing time, productivity, effectiveness, and the multi-criteria quality of the product are taken into consideration. Process settings affect the degree by which these objectives are realized. This work suggests a new proposal for evaluating optimal process settings through the handling of the plastic injection molding process in the same approach as a traditional multi-objective multi-criteria process. In a sense, there are numerous objective functions including cooling time, volumetric shrinkage, warpage, sink marks, residual stresses, and various process settings including temperature, pressure, etc. Within the suggested proposal, the Taguchi experimental design is used to generate a balanced set of experiments to explore the process; then, the finite element software SIMPOE is used to evaluate the behavior of the injection molding at each experimental setting. Analytical hierarchical process is then employed for multiple comparisons of the objectives and experiments as such to give the overall objective weight for each process setting (experiment). Analysis of variance is then used to evaluate the significant factors and the optimal setting of the process. This technique proved effective to obtain compliance between process design and several common manufacturer preferences, although the considered part was not changed.
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AlKaabneh, F.A., Barghash, M. & Mishael, I. A combined analytical hierarchical process (AHP) and Taguchi experimental design (TED) for plastic injection molding process settings. Int J Adv Manuf Technol 66, 679–694 (2013). https://doi.org/10.1007/s00170-012-4357-z
- Analytical hierarchical process (AHP)
- Analysis of variance (ANOVA)
- Multi-objective injection molding design
- Taguchi experimental design (TED)