[HTML][HTML] Research and application of machine learning for additive manufacturing

J Qin, F Hu, Y Liu, P Witherell, CCL Wang… - Additive …, 2022 - Elsevier
Additive manufacturing (AM) is poised to bring a revolution due to its unique production
paradigm. It offers the prospect of mass customization, flexible production, on-demand and …

A comprehensive review of digital twin—part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives

A Thelen, X Zhang, O Fink, Y Lu, S Ghosh… - Structural and …, 2023 - Springer
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …

Process monitoring and machine learning for defect detection in laser-based metal additive manufacturing

T Herzog, M Brandt, A Trinchi, A Sola… - Journal of Intelligent …, 2024 - Springer
Over the past several decades, metal Additive Manufacturing (AM) has transitioned from a
rapid prototy** method to a viable manufacturing tool. AM technologies can produce parts …

A framework driven by physics-guided machine learning for process-structure-property causal analytics in additive manufacturing

H Ko, Y Lu, Z Yang, NY Ndiaye, P Witherell - Journal of Manufacturing …, 2023 - Elsevier
Abstract Data analytics with Machine Learning (ML) using physics knowledge and big data
offers high potential to continuously transform raw data to newfound knowledge of Process …