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

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

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...

Full description

Bibliographic Details
Main Author: Seah, Jia Jun
Other Authors: Yeong Wai Yee
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2022
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Materials::Metallic materials::Alloys
Online Access:https://hdl.handle.net/10356/157962

Internet

https://hdl.handle.net/10356/157962

Similar Items