Doctoral Thesis: Development of physics-informed machine learning model for machining processes - Arrasate/Mondragón
hace 3 días

Job summary
This PhD project aims to leverage physics-informed machine learning models for their application in machining processes including turning drilling and broaching. The objective is to develop accurate cutting force temperature and industrial outcome predictions by combining experimental data with analytical and finite element models.
Descripción del trabajo
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