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Conference Open access Jul 2026

Research on modeling of machining processes and optimization of process parameters for intelligent manufacturing

An algorithm-oriented framework for smart machining that integrates finite-element process physics, a CNN-LSTM surrogate, and a digital-twin-enabled multi-objective optimizer is proposed, demonstrating its value for complex-part machining under intelligent manufacturing environments.

Zhen-Ping Yang, Fan Zhang · 0 citations

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