SSRNML & AI Methods
Multi-Objective Injection Molded Parts Optimization
The study applies a validated simulation of the plastic injection process and machine learning to estimate the necessary clamping force, optimizing key parameters and reducing defects and energy use in the pipes and fittings industry.
Featured in No. 56 on 10 Jul 2024 · 4 days after release
- Released
- 6 Jul 2024
- First featured
- No. 56 · 10 Jul 2024
- Published in
- Not yet, as far as Semantic Scholar knows
- Shares when featured
- 2
- Identifier
- SSRN 4887380
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