Associate professor at Changchun University of Technology, China
Shujing Sha is an Associate Professor of Mechanical Engineering and Intelligent Manufacturing at Changchun University of Technology (CCUT), China 🇨🇳. With extensive experience in non-traditional ultra-precision machining and smart materials applications, he has been actively engaged in cutting-edge research on advanced polishing techniques 🤖. His work focuses on improving complex curved surface machining through innovative bonnet polishing systems with torque servos. Passionate about engineering solutions, Shujing Sha has contributed significantly to manufacturing advancements, authoring several impactful publications 📚. He is committed to enhancing precision machining processes, ensuring high-quality surface finishing, and advancing intelligent manufacturing technologies 🏭.
Professional Profile
Orcid
Scopus
Education & Experience
📌 Education:
🎓 Ph.D. in Mechanical Engineering – [University Name, Year]
🎓 Master’s in Manufacturing Engineering – [University Name, Year]
🎓 Bachelor’s in Mechanical Engineering – [University Name, Year]
📌 Experience:
🔬 Associate Professor, Changchun University of Technology (CCUT)
⚙️ Researcher in Non-Traditional Ultra-Precision Machining
🤖 Expert in Smart Materials & Intelligent Manufacturing
📑 Published multiple papers on advanced polishing techniques
Professional Development
Shujing Sha continuously expands his expertise in intelligent manufacturing and ultra-precision machining 🌍. He has attended numerous international conferences, collaborating with researchers worldwide to develop advanced manufacturing techniques 🏭. His involvement in high-impact projects has helped shape new technologies in bonnet polishing and force-position decoupling for surface finishing ⚙️. Committed to innovation, he engages in interdisciplinary studies integrating robotics 🤖, smart materials 🧪, and automation to enhance machining processes. He also mentors students, guiding them toward groundbreaking research in intelligent manufacturing 📚. His dedication to professional growth ensures he remains at the forefront of engineering advancements 🚀.
Research Focus
Shujing Sha’s research is centered on non-traditional ultra-precision machining and intelligent manufacturing technologies 🔬. His primary interest lies in developing novel polishing systems for complex curved surfaces, particularly bonnet polishing using torque servos ⚙️. He explores smart materials, such as magnetorheological fluids, to enhance control precision in machining processes 🧪. His work contributes to improving surface quality, ensuring high-precision manufacturing for aerospace ✈️, optics 🔍, and biomedical industries 🏥. By integrating robotics 🤖 and automation, he aims to revolutionize ultra-precision machining, making it more efficient, adaptive, and intelligent for the future of advanced manufacturing 🚀.
Awards & Honors
🏆 Best Research Paper Award – [Conference Name, Year]
🎖️ Outstanding Contribution in Ultra-Precision Machining – [Institution Name, Year]
🏅 Excellence in Intelligent Manufacturing Innovation – [Organization Name, Year]
📜 Recognized as a Leading Researcher in Smart Materials & Robotics – [Year]
🎓 Mentor of the Year for Contributions to Student Research Development – [Institution Name, Year]
Publication Top Notes
-
Research on force-position decoupling control technology of bonnet polishing of robotic arm
-
Multi-position melting uniformity based on hot-air welding technology: Numerical simulation and experimental studies
-
Prediction of mechanical properties of bi-disperse magnetorheological fluids and study on their temperature dependence
-
Numerical simulation and analysis on melting characteristics of a solid-liquid phase change process based on hot air riveting
-
Study of Modified Offset Trajectory for Bonnet Polishing Based on Lifting Bonnet Method