Enhancing Additive Manufacturing Education Through Digital Twin Technology and Quality OptimizationÂ
Integrating Additive Manufacturing (AM) in Education: Developed a semester-long project for a new AM course to prepare students with practical skills in evaluating and optimizing the quality of 3D-printed parts, addressing industry challenges like surface finish, repeatability, and defect detection.
Digital Twin for Process Monitoring: Introduced students to creating digital twins of the 3D printing process, enabling in-situ monitoring and visualization of internal defects such as pores and cracks, fostering a deeper understanding of AM quality control.
Hands-On Quality Optimization: Engaged students in optimizing part quality by experimenting with process parameters, leveraging the digital twin to eliminate defects and achieve predictable quality in additively manufactured parts.