Professor Xichun Luo
Design, Manufacturing and Engineering Management
Personal statement
Xichun is a Professor in ultra precision manufacturing and technical director of Centre for Precision Manufacturing (CPM) at the University of Strathclyde (Glasgow). He is an Elected Fellow of the International Society for Nanomanufacturing, the International Academy of Engineering and Technology and the International Association of Advanced Materials.His research interests include ultra-precision machining, hybrid micromachining, nanofabrication and digital manufacturing. He obtained his PhDs at Harbin Institute of Technology (China) and Leeds Metropolitan University (UK). From 2004 to 2007, he worked at Cranfield University as a research officer and delivered the world leading research in ultra precision diamond turning and grinding of freeform optics. From 2007 to 2012 he was a lecturer at Heriot-Watt University. From 2012 to 2013 he was a Reader in ultra precision manufacturing at the University of Huddersfield where he leads an Advanced Machining Research Group. He has established an international reputation in ultra precision manufacturing and digital manufacturing, as evidenced by more than 120+ papers in peer-reviewed highly ranked journals and international conferences, his contribution to two books and five invited book chapters and 20+ keynotes and invited talks. He received funding from EPSRC, EC, SFC, ROE and industries (Renishaw, STMicroeletronics, Spanoptic, etc.). He won Institution of Mechanical Engineers (IMechE) 2015 Ludwig Mond Prize for his seminal work in application of digital technology for micro and nanomanufacturing.
Prize And Awards
- Real-time Digital Twin Assisted Surgery (DTAS)
- Recipient
- 29/3/2023
- Best paper award
- Recipient
- 1/8/2022
- Top 4% of EPSRC Peer Review College members for participating in peer review
- Recipient
- 8/2022
- Best Paper on Nanomanufacturing and Metrology
- Recipient
- 11/2021
- Best Editor Award
- Recipient
- 4/2021
- Digital twin guided minimally invasive, intelligent and intuitive surgery (MI-3 Surgery)
- Recipient
- 2021
Publications
- Material extrusion filament width and height prediction via design of experiment and machine learning
- Shi Xiaoquan, Sun Yazhou, Tian Haiying, Abhilash Puthanveettil Madathil, Luo Xichun, Liu Haitao
- Micromachines Vol 14 (2023)
- https://doi.org/10.3390/mi14112091
- Atomic and close-to-atomic scale manufacturing : status and challenges
- Hafeez Hifza, Xie Wenkun, Luo Xichun
- 28th International Conference on Automation and Computing (ICAC2023) (2023)
- Atomistic insights into bias-induced oxidation on passivated silicon surface through ReaxFF MD simulation
- Gao Jian, Luo Xichun, Xie Wenkun, Qin Yi, Hasan Rashed Md Murad, Fan Pengfei
- Applied Surface Science Vol 626 (2023)
- https://doi.org/10.1016/j.apsusc.2023.157253
- Modelling of grinding mechanics : a review
- Meng Qingyu, Guo Bing, Zhao Qingliang, Li Hao Nan, Jackson Mark J, Linke Barbara S, Luo Xichun
- Chinese Journal of Aeronautics Vol 36, pp. 25-39 (2023)
- https://doi.org/10.1016/j.cja.2022.10.006
- Flexible single-step fabrication of programmable 3D nanostructures by pulse-modulated local anodic oxidation
- Luo Xichun, Gao Jian, Xie Wenkun, Hasan Rashed Md Murad, Qin Yi
- CIRP Annals - Manufacturing Technology Vol 72, pp. 177-180 (2023)
- https://doi.org/10.1016/j.cirp.2023.04.030
- Robotic machining : status, challenges and future trends
- Kiefer Drew, Luo Xichun, Reimer Andreas, Evans Dorothy
- ICAC 2023: 28th IEEE International Conference on Automation and Computing (2023)
Professional Activities
- International workshop in the fabrication and application of microstructured optical devices
- Invited speaker
- 27/2/2014
- IEEE 20th International Conference on Automation & Computing
- Chair
- 12/9/2014
- PhD external examiner
- External Examiner
- 2013
- Applied Sciences (Journal)
- Guest editor
- 25/8/2023
- University of York
- Visiting researcher
- 21/9/2022
- Keynote - Scanning probe lithography through pulse modulated local anodic oxidation
- Speaker
- 11/8/2022
Projects
- Real-time Digital Twin Assisted Surgery (DTAS)
- Shu, Will (Principal Investigator) Kazakidi, Asimina (Co-investigator) Luo, Xichun (Co-investigator) Connolly, Patricia (Co-investigator) Stewart, Grant D (Co-investigator) Tsaftaris, Sotiris (Co-investigator) O'Neil, Kevin (Co-investigator)
- EPSRC Transformative Healthcare Technology (THT) Phase 2 grant (EP/X033686/1)
Award: ~£4M, fEC: ~£4.9M (1 of only 5 funded projects in the UK) - 01-Jan-2023 - 31-Jan-2027
- Real-time Digital Twin Assisted Surgery
- Shu, Will (Principal Investigator) Connolly, Patricia (Co-investigator) Kazakidi, Asimina (Co-investigator) Luo, Xichun (Co-investigator)
- 01-Jan-2023 - 31-Jan-2027
- Towards determinstic atomic scale manufacturing of next-generation quantum devices
- Luo, Xichun (Principal Investigator) Xie, Wenkun (Co-investigator)
- 01-Jan-2023 - 31-Jan-2024
- Digital twin guided minimally invasive, intelligent and intuitive surgery (MI-3 Surgery)
- Shu, Will (Principal Investigator) Kazakidi, Asimina (Co-investigator) Luo, Xichun (Co-investigator)
- 01-Jan-2021 - 01-Jan-2023
- Digital twin guided minimally invasive, intelligent and intuitive surgery (MI-3 Surgery)
- Shu, Will (Principal Investigator) Kazakidi, Asimina (Co-investigator) Luo, Xichun (Principal Investigator)
- EPSRC Transformative Healthcare Technology Phase 1 grant (EP/W004860/1)
Awarded: 2021. Award: £302.45K, fEC: £374.59K - 01-Jan-2021 - 01-Jan-2023
- Flexible Human-Robot Collaborative Inspection for In-Process Quality Control in Smart Manufacturing
- Yang, Erfu (Principal Investigator) Luo, Xichun (Co-investigator) Othman, Uqba (Researcher)
- The overall research aim of this project is to fundamentally investigate the novel flexible human-robot collaborative inspection strategies by enabling holistic control and interactions of collaborative robots in complex human-robot collaborative manufacturing environments such that safety and interaction of nearby humans/operators can be maintained while the in-process inspection and quality control are being done. At the same time, the efficiency and flexibility of the manufacturing process is also achieved when process variations or environmental changes occur in advanced manufacturing systems.
To achieve this aim, the proposed project will be focusing on the following three research objectives: 1) A comprehensive review of the state of the art in collaborative robotics and human-robot interactions towards smarter manufacturing in the digital age. 2) Investigation of novel concepts and algorithms for intelligent control, motion planning, and machine learning. 3) Development and testing of prototype sensing, Inspection with machine vision and NDT, path planning, and control system in the complex human-robot collaborative manufacturing environments. - 01-Jan-2021 - 30-Jan-2024
Contact
Professor
Xichun
Luo
Design, Manufacturing and Engineering Management
Email: xichun.luo@strath.ac.uk
Tel: 574 5280