Data-driven models with physical interpretability for real-time cavity profile prediction in electrochemical machining processes

作者：Ming Wu, Zequan Yao, Mathias Verbeke, Peter Karsmakers, Benjamin Gorissen, Dominiek Reynaerts · 发表于：Engineering Applications of Artificial Intelligence · 年份：2025 · DOI：10.1016/j.engappai.2025.111807 · 被引用次数：51 · 研究领域：Advanced Machining and Optimization Techniques、Advanced machining processes and optimization、Hydrogen embrittlement and corrosion behaviors in metals