Machinery Value Engineering Laboratory
Research Field
Dr. Yung-Chou Kao is a Professor of the Master Program in Advanced Engineering and is also a Joint Professor at the Department of Mechanical Engineering, National Chung Cheng University (CCU), Taiwan.
Prof. Kao obtained his PhD from the University of South Australia, Australia, and his PhD study focused on collaborative CAD/CAM, a multidisciplinary research project that extended standalone manufacturing to networked manufacturing.
His research interests include Digital Reality, specifically Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), as applied to Machine Tool Simulation, Interactive 3D Machining Processes, 3D full-machine interactive simulation, and Networked Smart Manufacturing. Professor Kao’s Digital Reality work is mainly achieved through industry-university collaboration and has been successfully demonstrated in several international machine tool shows.
Furthermore, Toolpath smoothness, chatter prediction, and calculation of power consumption are also studied based on cutting mechanics and the synergy of physics-based artificial intelligence. An integrated application is being developed to showcase these research efforts.
Machinery Value Engineering Laboratory focuses on value-adding research in the Machinery industry, including the Machine Tool industry. Research directions include the integration and application of Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) for the promotion, exhibition, education, training, maintenance, and digital transformation. Networking technology has also been incorporated to enhance digital transformation and the implementation of smart manufacturing.
Digital Reality (VR/AR/MR) application on Machinery.
Machining simulation integrating cutting force and power consumption.
Networked Smart Manufacturing and Collaborative Machining.
Digital Reality on UAV.
Awarded the Industry-University Collaboration Contribution Award by the Taiwan Association of Machinery Industry.
Prof. Kao obtained his PhD from the University of South Australia, Australia, and his PhD study focused on collaborative CAD/CAM, a multidisciplinary research project that extended standalone manufacturing to networked manufacturing.
Professor Kaos' research expertise encompasses metal forming, CAD/CAM, Digital Reality, and Networked Smart Manufacturing.
Job Description
Participants can learn the cutting mechanics, integrating theory and hands-on practices. The participants will also be guided by research students.
Preferred Intern Educational Level
Ph.D. researchers and Master's Degree graduates preferred in Mechanical Engineering.
Skill sets or Qualities
Ph.D. Researchers and Master's Degree graduates from the Department of Mechanical Engineering and/or related Departments are preferred.
Researchers and Master's Degree graduates who have attended courses such as factory practices, 3D modelling, and C# programming are preferred.
Job Description
CAD modelling of 3D geometry construction by using CAD software such as Solidworks and other CAD modelling software.
Preferred Intern Educational Level
Ph.D. Researchers and Master's Degree graduates from the Department of Mechanical Engineering and/or related Departments are preferred.
Ph.D. Researchers who have attended courses such as smart factory automation and practices, 3D modelling, and C# programming are preferred.
Skill sets or Qualities
Ph.D. researchers and Master's Degree graduates from the Department of Mechanical Engineering and/or related Departments are preferred.
Ph.D. researchers and Master's Degree graduates who have attended courses or conducted research, such as factory automation, smart manufacturing, and practical experiences, 3D modelling, and C# programming are preferred.