Multi-objective optimization of injection molding process using interpretable extreme gradient boosting model based on improved north eagle optimization algorithm
During the injection molding of sensor housings, plastic parts often suffer from warpage deformation and volumetric shrinkage. To address this, Moldflow simulation and central composite face (CCF) design were used to generate a dataset. An improved northern goshawk optimization (INGO)-XGBoost model,...
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| Veröffentlicht in: | Journal of mechanical science and technology Jg. 39; H. 10; S. 6171 - 6180 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Seoul
Korean Society of Mechanical Engineers
01.10.2025
Springer Nature B.V 대한기계학회 |
| Schlagworte: | |
| ISSN: | 1738-494X, 1976-3824 |
| Online-Zugang: | Volltext |
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