Dr. Li Xin | Digital twin technology | Best Researcher Award

Dr. Li Xin , Beihang University, China

Li Xin, a PhD student at Beihang University in Beijing, China, is a passionate researcher in the fields of intelligent manufacturing, digital twin technology, and residual stress. With a solid academic foundation from China University of Mining and Technology and Beihang University, Li’s research explores cutting-edge techniques in finite element simulation, mechanical cutting, and thermal-vibratory processes. His contributions to the development of residual stress control methods and his involvement in innovative projects have earned him multiple patents and academic accolades. Li is dedicated to advancing the manufacturing industry through advanced simulation technologies.

Professional Profile:

Scopus

Suitability for Best Researcher Award

Li Xin is an exceptional candidate for a Best Researcher Award due to his groundbreaking work in intelligent manufacturing, digital twin technology, and residual stress. His impressive academic achievements, innovative research, and professional contributions establish him as a leader in the field of mechanical engineering.

Education & Experience

Education:

Ph.D. in Mechanical Engineering, Beihang University, 2022 – Present
Master’s Degree in Mechanical Engineering, Beihang University, 2019 – 2022
Bachelor’s Degree in Mechanical Engineering, China University of Mining and Technology, 2015 – 2019

Professional Experience:

Ph.D. Researcher at Beihang University, Beijing, China

Professional Development

Li Xin has actively pursued professional development through his ongoing Ph.D. studies at Beihang University, focusing on intelligent manufacturing and residual stress management. He has participated in multiple research projects that leverage digital twin technology and finite element simulation to enhance manufacturing processes. Li has contributed to several published papers and holds multiple patents in the field of mechanical engineering. His academic journey reflects his dedication to continuous learning, innovative research, and real-world applications in manufacturing and material science. Through his work, he strives to bridge the gap between theoretical research and practical solutions.

Research Focus

Li Xin’s research is primarily focused on intelligent manufacturing, digital twin technology, residual stress, and finite element simulation. His work aims to develop innovative methods for controlling residual stress in various manufacturing processes, such as mechanical cutting and thermal-vibratory treatments. Li investigates the effect of residual stress on material properties, dimensional stability, and the microstructure of materials like Ti6Al4V. His expertise also extends to improving the accuracy and efficiency of manufacturing techniques through advanced simulation and modeling. His research is crucial for enhancing the precision and reliability of modern industrial processes.