A method combining optimization algorithm and inverse-deformation design for improving the injection quality of box-shaped parts
Author:
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s00170-023-12602-8.pdf
Reference46 articles.
1. Park HS, Nguyen TT (2014) Optimization of injection molding process for car fender in consideration of energy efficiency and product quality. J Comput Des Eng 4:256–265. https://doi.org/10.7315/JCDE.2014.025
2. Quintana MC, Frontini MP (2018) Development of the layered structure in a double-gated glass fiber-reinforced polypropylene injection molding: Experimental and simulated results. J Reinf Plast Compos 37(14):945–959. https://doi.org/10.1177/0731684418770528
3. Zhao J, Cheng G, Ruan SL, Li Z (2015) Multi-objective optimization design of injection molding process parameters based on the improved efficient global optimization algorithm and non-dominated sorting-based genetic algorithm. Int J Adv Manuf Technol 78:1813–1826. https://doi.org/10.1007/s00170-014-6770-y
4. Jung J, Park K, Cho B, Park J, Ryu S (2022) Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networks. J Intell Manuf. https://doi.org/10.1007/s10845-022-02018-8
5. Mohan M, Ansari MNM, Shanks RA (2017) Review on the effects of process parameters on strength, shrinkage, and warpage of injection molding plastic component. Polym-Plast Technol Eng 56(1):1–12. https://doi.org/10.1080/03602559.2015.1132466
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