Yongkun Mu | Direct energy deposition | Best Researcher Award

Assoc Prof Dr. Yongkun Mu | Direct energy deposition | Best Researcher Award

PHD at Shanghai University, China

Dr. Yongkun Mu is a postdoctoral researcher at the School of Mechanic and Engineering Science, Shanghai University. He earned his Ph.D. in Materials Science from the same institution and holds an M.S. from Kunming University of Science and Technology and a B.S. from Jiamusi University. His research specializes in high-entropy alloys, focusing on their microstructure, mechanical properties, and deformation behavior. Dr. Mu has presented at international conferences and collaborates on projects funded by the National Natural Science Foundation of China. He is skilled in advanced materials techniques such as laser 3D printing and electron microscopy. Direct energy deposition

Professional Profiles

Education

Post-doctoral in Solid Mechanics Duration: October 2022 – Present Institution: School of Mechanic and Engineering Science, Shanghai University Supervisor: Prof. Gang Wang Ph.D. in Materials Science Duration: September 2017 – August 2022 Institution: School of Materials Science and Engineering, Shanghai University Supervisor: Prof. Gang Wang M.S. in Materials Science and Engineering Duration: September 2014 – June 2017 Institution: School of Materials Science and Engineering, Kunming University of Science and Technology B.S. in Materials Science and Engineering Duration: September 2010 – June 2014 Institution: School of Materials Science and Engineering, Jiamusi University Visiting Ph.D. Program in Materials Science and Engineering Duration: July 2018 – July 2019 Institution: Department of Mechanical and Industrial Engineering, Tallinn University of Technology, Estonia. Direct energy deposition

Research Interests

Dr. Yongkun Mu’s research focuses on the microstructure, mechanical properties, and deformation behavior of high-entropy alloys. His work includes: Architecting novel heterogeneous structures for high strength-ductility synergy. Uncovering phase separation and transformation behavior. Designing alloys for novel high-temperature high-entropy applications. Regulating microstructural defects in high-entropy alloys. Investigating mechanisms of defect generation and their effects on strengthening and deformation. Establishing correlations between microstructural defects and material toughness. Direct energy deposition

Research Focuse

Dr. Yongkun Mu’s research focuses on high-entropy alloys (HEAs), particularly their mechanical properties and microstructural evolution. His work includes developing lightweight refractory alloys, high-strength intermetallic composites, and 3D-printed HEAs with enhanced ductility and strength. Dr. Mu investigates the effects of microstructural defects and aging on corrosion resistance and mechanical performance. His studies aim to uncover phase transformations, strengthen mechanisms, and innovate alloy design for improved performance in demanding environments. Through advanced fabrication techniques like laser 3D printing and spark plasma sintering, he contributes to the development of next-generation materials for industrial applications. Direct energy deposition

Publications

  1. Electron beam melting of (FeCoNi)86Al7Ti7 high-entropy alloy, Publication date: 2023.
  2. Dynamic mechanical properties and microstructural evolutions of nanocrystalline Ni at 77 K and 298 K, Publication date: 2023.
  3. Shock-compression microstructure transformation of the additive manufactured FeCoNiAlTi high-entropy alloy, Publication date: 2023.
  4. 3D-printed strong and ductile high-entropy alloys with orientation arranged nanostructure complex, Publication date: 2023.
  5. Effect of aging on corrosion resistance of (FeCoNi)86Al7Ti7 high entropy alloys, Publication date: 2024.
  6. Developing high strength/high toughness grades steels by dual-precipitates co-configuration during aging processPublication date: 2024.
  7. Industrially produced 2.4 GPa ultra-strong steel via nanoscale dual-precipitates co-configurationPublication date: 2024.
  8. A mortise-and-tenon structure inspired high strength-ductility 3D printed high-entropy alloys with mechanically interlocked networkPublication date: 2024.
  9. High strength and ductility high-entropy intermetallic matrix composites reinforced with in-situ hierarchical TiB2 particlesPublication date: 2024.
  10. Substantially improved room-temperature tensile ductility in lightweight refractory Ti-V-Zr-Nb medium entropy alloys by tuning Ti and V contentPublication date: 2025.
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Tzu-Chi Chan | Additive Manufacturing | Best Researcher Award

Assoc Prof Dr. Tzu-Chi Chan | Additive Manufacturing | Best Researcher Award

Associate Professor at National Formosa University, Taiwan

Dr. Tzu-Chi Chan (Watson) is an Associate Professor at National Formosa University, Taiwan, specializing in Robotics, Precision Machine Design, and Smart Manufacturing Systems. He earned his Ph.D. from National Tsing Hua University in 2012 and has since contributed significantly to the Precision Machinery Research and Development Center. With 97 research articles, 1 book, and 20 patents to his name, Dr. Chan’s work integrates Finite Element Analysis, Machine Dynamics, and Automation Technology. He holds multiple Best Paper awards from IEEE and has been recognized by the Chinese Society of Mechanism and Machine Theory for his outstanding contributions to mechanical engineering research. Additive Manufacturing

Professional Profiles

Education

Dr. Tzu-Chi Chan (Watson) earned his Ph.D. in Power Mechanical Engineering from National Tsing Hua University in 2012. He joined National Formosa University (NFU) thereafter, contributing significantly to the Precision Machinery Research and Development Center (PMC) and achieving recognition as an excellent research personnel by the Ministry of Economic Affairs in 2003. He later served as Vice Director at the Smart Machinery Promotion Office before assuming his current role as Associate Professor in the Department of Mechanical and Computer-Aided Engineering at NFU. Additive Manufacturing

Professional Experience

Currently, Dr. Chan also serves as the Director of the Continuing Education Center at NFU and oversees operations at the Smart Manufacturing and Measurement Lab. His leadership extends from academia to industry, fostering advancements in machinery and manufacturing technologies. Additive Manufacturing

Honors and Awards

Dr. Chan has been honored with numerous accolades, including five Best Paper awards at IEEE conferences and prestigious recognitions from the Chinese Society of Mechanism and Machine Theory (CSMMT), underscoring his influential contributions to mechanical engineering research.

Research Focuse

Dr. Chan’s research interests span Robotics and Automation Technology, Precision Machine Design, Finite Element Analysis and Testing, Machine Dynamics, and Smart Manufacturing Systems. His contributions include 97 research articles, 1 book, and 20 patents, highlighting his expertise and innovation in these fields. Additive Manufacturing

Publications

  1. Structural Analysis of a Moving Column 5-Axis Machining Center Based on Finite Element Analysis by Computer Aided Design, Publication date: 2023.
  2. A systematic technique to estimate positioning errors for robot accuracy improvement using laser interferometry based sensingPublication date: 2005.
  3. Intelligent diagnosis and precision analysis of a large gantry type 5-axis CNC machine tool, Publication date: 2023.
  4. Study on Kinematic Structure Performance and Machining Characteristics of 3-Axis Machining Center, Publication date: 2023.
  5. Finite element analysis and structure optimization of a gantry-type high-precision machine tool, Publication date: 2023.
  6. Effect of spatial moving structure and topology optimization of the CNC turning machine tools, Publication date: 2023.
  7. Numerical technique with innovative strategies for performance enhancement in micro-probe measuring equipment,
  8. Optimal Treatment of Tumor in Upper Human Respiratory Tract Using Microaerosols, Publication date: 2024.
  9. Integrating numerical techniques and predictive diagnosis for precision enhancement in roller cam rotary tablePublication date: 2024.
  10. Improving machining accuracy of complex precision turning-milling machine toolsPublication date: 2024.
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