Micro Manufacturing Lab.
Research Field
Dr. Ming-Chyuan Lu is currently a professor at the Department of Mechanical Engineering, National Chung Hsing University, Taiwan. His current research interests focus on condition monitoring in manufacturing, metal additive manufacturing, and micro machining.
Before pursuing his Ph.D. degree at the University of Michigan at Ann Arbor, Dr. Lu was an associate engineer in the Opto-Electronics and System lab. of ITRI in Hsinchu, Taiwan, from 1993-1996, working on inkjet printer system design. During his Ph.D. studies at Ann Arbor, Dr. Lu joined the ERC/RMS center at the University of Michigan for research focused on multi-sensor applications for tool condition monitoring. Before joining NCHU as an assistant professor in 2006, Dr. Lu joined Nano-Architect Research Corporation in Hsinchu, Taiwan, from 2001 to 2005 as a project manager/manager for the plasma equipment development, and was a researcher of the Mechanical and System Lab. of ITRI in Taichung, Taiwan, for the machine tool system development.
Dr. Lu received his B.S. degree in Mechanical Engineering from National Cheng Kung University, Taiwan, in 1991, M.S. degree in Power Mechanical Engineering from National Tsing Hua University, Taiwan, in 1993, and Ph.D. degree in Mechanical Engineering from the University of Michigan at Ann Arbor, USA, in 2001.
The Micro Manufacturing Laboratory (MML) at National Chung Hsing University was established in 2006. The goal is to develop the technologies for micro-manufacturing processes. It will include the development of the process and process condition monitoring system. The targeted process will include micro-cutting, laser welding, and DED additive manufacturing. To support the fundamental research in the Lab, primary equipment provided in MML includes a DED additive manufacturing research platform, a micro machining research platform, sensors such as AE sensors, accelerometers, dynamometers, Microphones, load cells, two high-speed cameras, two thermal image cameras, a Keyence profiler, a residual stress analyzer, NI data acquisition systems, and a modal analyzer. Except for the fundamental research in the Lab. , MML also supports the industry for the development of the monitoring system in grinding, machining, and laser welding.
The research focuses include the fundamental study of the signal features for defect or quality monitoring in manufacturing, system development of a tool condition monitoring system, system development of a micro laser welding system, micro cutting of hard-machined material, and the defect monitoring of laser cladding and DEDadditive manufacturing.
Distinguished award for Industry-Academic Cooperation, School of Engineering, NCHU , 2023
Distinguished award for Industry-Academic Cooperation, School of Engineering, NCHU , 2021
2001 Ph.D. Mechanical Engineering, University of Michigan - Ann Arbor, USA
1993 M.S. Power Mechanical Engineering, National Tsing Hua University -Hsinchu, Taiwan
1991 B.S. Mechanical Engineering, National Cheng Kung University -Tainan, Taiwan
Job Description
1. Data Analysis for signals collected in the DED additive manufacturing
Analyze the raw signals and features for residual stress or defect detection. Skill with C## or Python is required.
2. Model development for heat transfer and strain on the base material for DED additive manufacturing.
Develop the model using COMSOL or ANSYS to analyze the temperature and strain rate distribution on the deposition plate.
3. AI model development for the condition monitoring in DED additive manufacturing.
Develop a neural network-based model to detect the residual stress or defect in DED additive manufacturing. Skill with C## or Python is required.
Preferred Intern Educational Level
Master's or Ph.D. student.
Skill sets or Qualities
- For jobs 1 or 3, familiar with C## or Python
- For Job 2, familiar with COMSOL or ANSYS, and have experience in developing thermal models in laser welding or metal additive manufacturing.