Investigation of relationships between continuous-wave process parameters and physical properties of SLM-manufactured Ti-64 using machine learning

• المؤلف الرئيسي: Seah, Jia Jun
• مؤلفون آخرون: Yeong Wai Yee
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2022
• الموضوعات: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Engineering::Materials::Metallic materials::Alloys
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/157962

Selective Laser Melting (SLM) technology has numerous process parameters that can influence the physical properties of the printed part. As a result, there is high dimensionality in the dataset containing data of process parameters used to print the parts and the corresponding physical properties. H...