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Yuchun Xu

Dr

 https://orcid.org/0000-0001-6388-813X

  • Aston Triangle, Main Building 147C

    B4 7ET Birmingham

    United Kingdom

Accepting PhD Students

PhD projects

Life Extension of High Value Engineering Asset Based on Smart Condition Monitoring Manufacturers need to increase the availability of their engineering asset, in order to reduce unscheduled downtime and maximise the asset utilisation. This requires techniques managing maintenance and extending the asset’s life. Condition monitoring offers a predictive approach to asset maintenance, ensuring optimum asset performance while keeping downtime to a minimum. This PhD project will develop a system solution to predict the machine failure effectively and efficiently. You need to have a first class or upper second class honours degree or equivalent qualification in Mechatronics, Electronics Engineering, Computer Science to apply for this post. Knowledge/experience of condition monitoring, signal processing, data analysis, programming on Matlab or other professional software are preferred. Please contact Dr Yuchun Xu (y.xu16@aston.ac.uk) with your CV for more details.

20082020

Research output per year

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Personal profile

General

Yuchun joined the Aston School of Engineering and Applied Science in July 2017. His main background is in manufacturing engineering, mechatronics, and life cycle engineering. Prior to Aston, Yuchun worked as a Lecturer in Manufacturing Division at Cranfield University. Before that, Yuchun worked as postdoctoral researcher in Queen’s University Belfast, Cardiff University in UK, and Tianjin University in China, respectively. Yuchun also worked in IT industry shortly in Shanghai, China before coming to UK in 2002.

Contact Details

Phone number: 44(0)121 204 3291                             
Email: y.xu16@aston.ac.uk
Room: MB 154M

Research Interests

Dr Xu’s research lies in the areas of Industry 4.0, Digital & Smart Manufacturing, Remanufacturing, Life Cycle Engineering, and Circular Economy. His research work are closely linked with industry, including Rolls-Royce, Airbus, and Network Rail etc. 

Teaching Activity

  • Design for Manufacturing, Engineering for Industry

Employment

  • 2017 -        : Senior Lecturer in Manufacturing Engineering, School of Engineering and Applied Science, Aston University
  • 2008 – 2017: Lecturer, Manufacturing Division, School of Aerospace, Transport and Manufacturing, Cranfield University, UK. 
  • 2005 – 2008: Research Fellow, School of Mechanical & Aerospace Engineering, Queen’s University of Belfast, UK. 
  • 2003 – 2005: Project Engineer, Manufacturing Engineering Centre, School of Engineering, Cardiff University, UK. 
  • 2001 – 2002: Department Manager, Technical Centre, Great Wall Broadband Network Ltd., Shanghai, China. 
  • 1999 – 2001: Postdoctoral Researcher, National Key Laboratory of Precision Measuring Technology and Instruments, School of Precision Instrument & Opto-electronics Engineering, Tianjin University, China.

Qualifications

  • PhD in Manufacturing Engineering, Harbin Institute of Technology, China, 1999
  • BEng with 1st Class Honours in Automotive Engineering, Harbin Institute of Technology, China, 1993

Keywords

  • TS Manufactures
  • Smart Manufacturing
  • Life Cycle Engineeering
  • Circular Economy
  • Digital Manufacturing
  • Industry 4.0
  • Remanufacturing
  • TJ Mechanical engineering and machinery
  • Machining
  • Metrology
  • Inspection
  • Measurement

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Research Output

Ergonomic evaluation on the manufacturing shop floor: A review of hardware and software technologies

Mgbemena, C. E., Tiwari, A., Xu, Y., Prabhu, V. & Hutabarat, W., 10 Jun 2020, In : Cirp Journal of Manufacturing Science and Technology.

Research output: Contribution to journal › Review article

    • The continuous maximal covering location problem in large-scale natural disaster rescue scenes

    Yang, P., Xiao, Y., Zhang, Y., Zhou, S., Yang, J. & Xu, Y., 21 Jun 2020, In : Computers and Industrial Engineering. 146, 106608.

    Research output: Contribution to journal › Article

    • The continuous pollution routing problem

    Xiao, Y., Zuo, X., Huang, J., Konak, A. & Xu, Y., 5 Feb 2020, In : Applied Mathematics and Computation. 125072.

    Research output: Contribution to journal › Article

    • A new formulation of the electric vehicle routing problem with time windows considering concave nonlinear charging function

    Zuo, X., Xiao, Y., You, M., Kaku, I. & Xu, Y., 1 Nov 2019, In : Journal of Cleaner Production. 236, 117687.

    Research output: Contribution to journal › Article

    • Optimal mathematical programming and variable neighborhood search for k-modes categorical data clustering

    Xiao, Y., Huang, C., Huang, J., Kaku, I. & Xu, Y., 29 Jan 2019, In : Pattern Recognition. 90, p. 183-195 13 p.

    Research output: Contribution to journal › Article

    Open Access
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