Professor Xichun Luo
Design, Manufacturing and Engineering Management
Personal statement
Xichun Luo is a Professor in Ultra Precision Manufacturing, Director of Research of the Department of Design, Manufacturing and Engineering Management and Technical Director of Centre for Precision Manufacturing (CPM) at the University of Strathclyde.
Prof. Luo has strong research interest in fundamental studies and applied research in ultra precision machining, micro, nano and atomic scales manufacturing. His research revealed atomic level machining mechanism for semiconductor materials, Si, SiC and GaAs and ion-induced damage of diamond, and developed ultra-precision freeform machining technologies. His team established the world first 6-axis hybrid micromachine and a novel digital twin-driven smart micromanufacturing system. He invented pulse modulated local anodic lithography and rolling nanoelectrode lithography process and realized ground-breaking sub-nanometre nanostructures; for future photonics, microelectronics, medical and quantum devices.
Prof. Luo won the Institution of Mechanical Engineers (IMechE) 2015 Ludwig Mond Prize for research and development of novel digital tools for micro & nanomanufacturing. He has over 240 publications, including 2 books, 4 invited book chapters, over 170 papers in highly ranked journals (Google Scholar h-index: 48), 70 conference papers and 4 patents.
Prof. Luo is an Elected Fellow of the International Society for Nanomanufacturing, the International Academy of Engineering and Technology and the International Association of Advanced Materials. He is a member of Scientific Committee of European Society for Precision Engineering & Nanotechnology (euspen) and Technical Committee of the Advanced Forming Research Centre (2013-2019). He is the Sectary General of the International Academy of Engineering and Technology since 2019 and the Past-President of The Chinese Automation and Computing Society in the UK.
Prof. Luo is founding Editor-in-Chief of High-end Manufacturing (a new SciLight Journal), an Associate Editor for Proceedings of IMechE Part C: Journal of Mechanical Engineering Science, Journal of Micromanufacturing, and Mechanical Sciences, and an editorial board member for Micromachines, Nanomanufacturing and Metrology, and International Journal of Extreme Manufacturing. He organised three IEEE International Conferences (ICAC 2014, ICAC 2015 and ICOIM 2021) as a conference chair and 2 euspen SIG conferences as a co-chair. He has delivered over 30 Keynotes/Plenary Lectures at top precision engineering international conferences.
Since 2009, Prof. Luo has successfully secured around £20.7m research funding (£7.3m as a Principal Investigator, £13.4m as a Co-Investigator) from EPSRC, EU, SFC, ROE, RS and industries (Renishaw, STMicroelectronics, DePuy (Ireland), Spanoptics, etc.). Current, he is supervising 5 Research Associates and 8 PhDs with a research folio of over £4.4m in the field of nanomanufacturing and smart manufacturing.
Prize And Awards
- Best Editor Award-International Journal of Extreme Manufacturing
- Recipient
- 1/7/2024
- IAAM Scientist Medal
- Recipient
- 18/1/2024
- Best Editor Award- International Journal of Extreme Manufacturing
- Recipient
- 12/2023
- Real-time Digital Twin Assisted Surgery (DTAS)
- Recipient
- 29/3/2023
- Best Paper Award-Fundamentals of atomic and close-to-atomic scale manufacturing: a review
- Recipient
- 10/3/2023
- Best Editor Award- International Journal of Extreme Manufacturing
- Recipient
- 10/3/2023
Publications
- Near real-time estimation of blood loss and flow-pressure re-distribution during unilateral nephrectomy
- Cowley James, Kyeremeh Justicia, Stewart Grant D, Luo Xichun, Shu Wenmiao, Kazakidi Asimina
- Fluids Vol 9 (2024)
- https://doi.org/10.3390/fluids9090214
- Bioimplants Manufacturing : Fundamentals and Advances
- P M Abhilash, Gajrani Kishor Kumar, Luo Xichun
- Advances in Manufacturing, Design and Computational Intelligence Techniques Advances in Manufacturing, Design and Computational Intelligence Techniques (2024)
- https://doi.org/10.1201/9781003509943
- Chip breakage in silk microfibre production using elliptical vibration turning
- Wang Zhengjian, Luo Xichun, Sun Jining, Seib Philipp, Phuagkhaopong Suttinee, Xie Wenkun, Chang Wenlong, Liu Qi, Chen Xiuyuan
- International Journal of Mechanical Sciences Vol 277 (2024)
- https://doi.org/10.1016/j.ijmecsci.2024.109418
- Prospects of digital twin for dynamic life cycle assessment of smart manufacturing systems
- Madarkar Rajeshkumar, Luo Xichun, Walker Charles, Puthanveettil Madathil Abhilash, Liu Qi
- MATEC Web of Conferences Vol 401 (2024)
- https://doi.org/10.1051/matecconf/202440113006
- A digital twin-driven ultra-precision machining system
- Walker Charles, Puthanveettil Madathil Abhilash, Luo Xichun, Madarkar Rajeshkumar, Liu Qi
- MATEC Web of Conferences Vol 401 (2024)
- https://doi.org/10.1051/matecconf/202440113009
- A fingerprint approach for computationally efficient digital twins of precision manufacturing processes
- Puthanveettil Madathil Abhilash, Luo Xichun, Liu Qi, Madarkar Rajeshkumar, Walker Charles
- MATEC Web of Conferences Vol 401 (2024)
- https://doi.org/10.1051/matecconf/202440113004
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
- 21st International Conference on Manufacturing Research
- Member of programme committee
- 28/8/2024
- Keynote on 2nd International Conference of Advanced Optics Manufacturing Technologies and Applications
- Speaker
- 5/7/2024
- invited talk on Atomic and close-to-atomic scale manufacturing
- Speaker
- 10/6/2024
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-Sep-2023 - 31-Aug-2027
- Real-time Digital Twin Assisted Surgery
- Shu, Will (Principal Investigator) Connolly, Patricia (Co-investigator) Kazakidi, Asimina (Co-investigator) Luo, Xichun (Co-investigator)
- 01-Sep-2023 - 31-Aug-2027
- Towards determinstic atomic scale manufacturing of next-generation quantum devices
- Luo, Xichun (Principal Investigator) Xie, Wenkun (Co-investigator)
- 01-Jan-2023 - 31-Dec-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-Oct-2021 - 01-Jun-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-Oct-2021 - 01-Jun-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-Oct-2021 - 30-Sep-2024
Contact
Professor
Xichun
Luo
Design, Manufacturing and Engineering Management
Email: xichun.luo@strath.ac.uk
Tel: 574 5280