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.


Machine learning based classification and analysis of wire-EDM discharge pulses
P. M. Abhilash, Chakradhar D, Luo Xichun
8th International Conference on Nanomanufacturing and
4th AET Symposium on ACSM and Digital Manufacturing (2022)
A novel current sensor indicator enabled WAFTR model for tool wear prediction under variable operating conditions
Kundu Pradeep, Luo Xichun, Qin Yi, Chang Wenlong, Kumar Anil
Journal of Manufacturing Processes Vol 82, pp. 777-791 (2022)
Insight into atomic-scale adhesion at the C-Cu interface during the initial stage of nanoindentation
Gao Jian, Luo Xichun, Chang Wenlong, Wang Zhengjian, Yan Yongda, Geng Yanquan
Nanomanufacturing and Metrology (2022)
Nanometric cutting : mechanisms, practices and future perspectives
Fang Fengzhou, Lai Min, Wang Jinshi, Luo Xichun, Yand Jiwang, Yane Yongda
International Journal of Machine Tools and Manufacture Vol 178 (2022)
Challenges and issues in continuum modelling of tribology, wear, cutting and other processes involving high-strain rate plastic deformation of metals
Mir Amir, Luo Xichun, Llavori Iñigo, Roy Anish, Zlatanovic Danka Labus, Joshi Srikrishna N, Goel Saurav
Journal of the Mechanical Behavior of Biomedical Materials Vol 130 (2022)
3D cohesive finite element minimum invasive surgery simulation based on Kelvin-Voigt model
Jiang Yonghang, Song Qinghua, Luo Xichun
Chinese Journal of Mechanical Engineering (English Edition) Vol 35 (2022)

More publications

Professional activities

International workshop in the fabrication and application of microstructured optical devices
Invited speaker
IEEE 20th International Conference on Automation & Computing
PhD external examiner
External Examiner
University of York
Visiting researcher
Invited talk at Henry Royce Institute 'multiscale digital twin-driven smart manufacturing system'
PhD viva for Cardiff University

More professional activities


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
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 - 31-Jan-2022
A hybrid precision manufacturing platform for next-generation of nanoscale products
Luo, Xichun (Principal Investigator) Watson, Ian (Co-investigator)
01-Jan-2021 - 30-Jan-2024
Autonomous and Interactive Station Rover for Next-Generation Passenger Information System
Yang, Erfu (Principal Investigator) Luo, Xichun (Co-investigator) Corney, Jonathan (Co-investigator) Alcantara de la Cruz, Daniel (Researcher)
KTP project with TrainFX Limited. In total £190,122, funded by the Innovate UK.
01-Jan-2021 - 31-Jan-2023
New generation of offshore turbine blades with intelligent architectures of hybrid, nano-enabled multi-materials via advanced manufacturing
Qin, Yi (Principal Investigator) Luo, Xichun (Co-investigator)
01-Jan-2020 - 31-Jan-2024
KTP - TrainFX Resubmission
Yang, Erfu (Principal Investigator) Corney, Jonathan (Co-investigator) Luo, Xichun (Co-investigator)
07-Jan-2020 - 06-Jan-2022

More projects


Design, Manufacturing and Engineering Management
James Weir Building

Location Map

View University of Strathclyde in a larger map