Jiewei Lin
School
School of Mechanical Engineering
Professional Title
Associate professor
Contact Information
linjiewei@tju.edu.cn
34-407, Beiyangyuan Campus, Tianjin University, 135 Yanguan Road, Jinnan District, Tianjin, China
Brief Introduction
Dr Jiewei Lin is an Associate Professor of the State Key Laboratory of Engines at Tianjin University. He obtained his BSc degree in Energy and Power engineering in 2007 and MSc degree in Power machinery and engineering in 2009. He received a PhD in 2013 at Tianjin University, China. This was followed by a Research Fellow of the
Institute of Sound and Vibration Research at University of Southampton on mechanical system vibration and fatigue. He joined the SKLE as an Associate Professor in 2017 continuing his research in system dynamics modelling, vibration control and fatigue.
Education Background
- Ph.D.| Tianjin University| Power machinery and engineering| 2013
- M.S.| Tianjin University| Power machinery and engineering| 2009
- B.S.| Tianjin University| Energy and Power engineering| 2007
Research Interests
- Fatigue damage accumulation of structure
- Noise and vibration control of vehicle and engine
- Biodynamic modelling and human response to vibration
Positions & Employments
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2015.1-2017.6
Institute of Sound and Vibration Research | University of Southampton | Research Fellow -
2013.6-2015.1
Mechanical engineering | Tianjin University | Post doctoral researcher
Academic Achievements
- Papers
- [1] 1. J. Zhang, P. Guo, J. Lin* (2016). A mathematical model for coupled vibration system of road vehicle and coupling effect analysis. Applied Mathematical Modelling 40(2): 1199-1217J.
- [2] 2. J. Wang, J. Zhang, J. Lin* (2016). Performance Analysis of a Fiber Reinforced Plastic Oil Cooler Cover Considering the Anisotropic Behavior of the Fiber Reinforced PA66. Polymers 8(9): 312-333.
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- [3] 3. J. Zhang, S. Yang and J. Lin* (2016). A nonlinear continuous damage model based on short-crack concept under variable amplitude loading. Fatigue & Fracture of Engineering Materials & Structures 39(1): 79-94.
- [4] 4. J. Zhang, J. Wang, J. Lin* (2016). Multiobjective optimization of injection molding process parameters based on Opt LHD, EBFNN, and MOPSO. The International Journal of Advanced Manufacturing Technology 85(9): 2857-2872.
- [5] 5. L. Ma, J. Zhang, J. Lin* (2016). Dynamic characteristics analysis of a misaligned rotor-bearing system with squeeze film dampers. Journal of Zhejiang University-SCIENCE A 17(8): 614-631.
- [6] 6. J. Zhang, S. Yang and J. Lin* (2015). Fatigue crack growth rate of Ti-6Al-4V considering the effects of fracture toughness and crack closure. Chinese Journal of Mechanical Engineering 28(2): 409-415.
- [7] 7. J. Zhang, J. Wang, J. Lin, et al. (2015). Diesel engine noise source identification based on EEMD, coherent power spectrum analysis and improved AHP. Measurement Science and Technology 26(9): 095010.
- [8] 8. J. Zhang, W. Ma, J. Lin, et al. (2015). Fault diagnosis approach for rotating machinery based on dynamic model and computational intelligence. Measurement 59: 73-87.
- [9] 9. M. Xu, J. Zhang, J. Lin*, et al. (2015). Prediction and control of the structure-borne noise of a vehicle based on an optimization technique of the vehicle-body model. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 229(11): 1457-1468.
- [10] 10. J. Lin, J. Zhang, S. Yang, et al. (2013). Reliability analysis of aero-engine blades considering nonlinear strength degeneration. Chinese Journal of Aeronautics 26(3): 631-637.
- [11] 11. J. Lin, J. Zhang, G. Zhang, et al. (2012). Aero-engine blade fatigue analysis based on nonlinear continuum damage model using neural networks. Chinese Journal of Mechanical Engineering 25(2): 338-345.
- [12] 1. ULTRAN - Ultra lightweight Transmission and driveline: Novel Methodology for Design and Development of a Lightweight Vehicle Transmission and Driveline System, Low Carbon Vehicle Event 2016, 14-15 September 2016, Millbrook, UK
- [13] 2. Optimisation of the rear drive unit bushings of a lightweight vehicle under shock excitation, 51th UK Conference on Human Response to Vibration, 14-16 September 2016, Institute of Naval Medicine, Gosport, UK
- [14] 3. Mathematical modelling of the rear drive unit of a lightweight vehicle for sensitivity analysis of vibration, ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 18th International Conference on Advanced Vehicle Technologies, 21-24 August 2016, Charlotte, North Carolina, USA
- [15] 4. Sensitivity analysis of a lightweight rear differential unit on ride comfort of a sport utility vehicle, 50th UK Conference on Human Response to Vibration, 9-10 September 2015, Institute of Sound and Vibration, Southampton, UK