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An optimal design method for loading path with multiple feature points using machine learning
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AI
DOI：10.1016/j.tws.2026.114938.png)
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Abstract
En 中文
• An optimization design method for loading paths using machine learning was proposed. • Quantitative prediction models for progress parameters were derived. • A multi-feature-point loading path suitable for multi-stage hydroforming was proposed. • The optimal loading path was designed through neural network and genetic algorithm.
Keywords:
loading path
machine learning
multi-stage hydroforming
neural network
genetic algorithm
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T
IF:
6.6
Papers:
1.1W
Citations:
4.0W
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