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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Bibliographic Details
Published in:	Journal of mechanical science and technology Vol. 39; no. 10; pp. 6171 - 6180
Main Authors:	Zhu, Liuyu, Fan, Xiying, Guo, Yonghuan, Wang, Zhijiang, Hua, Junyi, Li, Lie
Format:	Journal Article
Language:	English
Published:	Seoul Korean Society of Mechanical Engineers 01.10.2025 Springer Nature B.V 대한기계학회
Subjects:	Accuracy Control Cooling Datasets Deformation Dimensional stability Dynamical Systems Engineering Housings Industrial and Production Engineering Injection molding Integrated approach Mechanical Engineering Multiple objective analysis Optimization algorithms Original Article Pareto optimization Process parameters Science Sensors Simulation Support vector machines Vibration Warpage 기계공학 SAHP CRITIC-TOPSIS MOMVO INGO-XGBoost Process parameters CCF
ISSN:	1738-494X, 1976-3824
Online Access:	Get full text
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