AFSD-Physics: Exploring the governing equations of temperature evolution during additive friction stir deposition by a human-AI teaming approach. (arXiv:2401.16501v1 [cs.LG])

This paper presents a modeling effort to explore the underlying physics of
temperature evolution during additive friction stir deposition (AFSD) by a
human-AI teaming approach. AFSD is an emerging solid-state additive
manufacturing technology that deposits materials without melting. However, both
process modeling and modeling of the AFSD tool are at an early stage. In this
paper, a human-AI teaming approach is proposed to combine models based on first
principles with AI. The resulting human-informed machine learning method,
denoted as AFSD-Physics, …

additive manufacturing arxiv cs.lg evolution explore human manufacturing materials modeling paper physics solid state technology