Perspectives of using machine learning in laser powder bed fusion for metal additive manufacturing

• المؤلفون الرئيسيون: Sing, Swee Leong, Kuo, C. N., Shih, C. T., Ho, C. C., Chua, Chee Kai
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Mechanical engineering; Additive Manufacturing; Powder Bed Fusion
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/154116

The adoption of laser powder bed fusion (L-PBF) for metals by the industry has been limited despite the significant progress made in the development of the process chain. One of the key obstacles is the inconsistency of the parts obtained from L-PBF. Due to its complexity, there are many potential f...