Student | Yong Pang | Design, Modelling and Simulation - RMCRC
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Student | Yong Pang | Design, Modelling and Simulation

PhD students

Yong Pang

Monash University (Supervisor: Bernard Chen)

PhD topic – System for real-time monitoring and sensing railway conditions by laser light

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Research summary

This project is looking to develop a Laser Speckle sensing system suitable for measuring stresses and strains in Australian rail tracks and cars. By using a beam of coherent light, illuminating a rough surface where reflection waves interfere with each other will result in a speckle being detected, helping engineers to measure deformation and identify the region with defects easily.

Expected completion date

February 2021

Key achievements

  • Developed laser speckle optical system for non-contact, non-destructive and remote sensing of strain in railway applications.
  • Demonstrated the performance of optical sensor for high-resolution strain measurements in both laboratory and field conditions.
  • Published main research outcomes in four renowned international journals and 3 international conferences.
  • Awarded Faculty of Engineering International Postgraduate Research Scholarship (FEIPRS).

Publications

Pang, Y., Chen, B. K., & Liu, W. (2019). An investigation of plastic behavior in cold-rolled aluminum alloy AA2024-T3 using laser speckle imaging sensor. Int. J. Adv. Manuf. Tech., 103, 2707–2724.

Pang, Y., Chen, B. K., Liu, W., Yu, S. F., & Lingamanaik, S. N. (2020). Development of a non-contact and non-destructive laser speckle imaging system for remote sensing of anisotropic

Pang, Y., Lingamanaik, S. N., Chen, B. K., and Yu, S. F. (2020). Measurement of deformation of the concrete sleepers under different support conditions using non-contact laser speckle imaging sensor. Engineering Structures, 205, 110054.

Pang, Y., Chen, B. K., Lingamanaik, S. N., and Yu, S. F. (2019). Development of a non-contact and non-destructive laser-speckle imaging system for sensing railway conditions. In Proceedings ICCIVIL 2019 – 4th International Conference on Civil Engineering (ICCIVIL), Hangzhou.

Pang, Y., Chen, B. K., Yu, S. F. and Lingamanaik, S. N. (2020). Enhanced laser speckle optical sensor for in situ strain sensing and structural health monitoring, Lett.45, 2331-2334.

Liu, W., Chen, BK. and Pang, Y. (2018). A new temperature-dependent anisotropic constitutive model for predicting deformation and spring-back in warm deep drawing of automotive AA5086-H111 aluminium alloy sheet. The International Journal of Advanced Manufacturing Technology August 2018, Volume 97, Issue 9–12, pp 3407–3421.

Pang, Y., Chen, B. K., Lingamanaik, S. N., and Yu, S. F. (2019). The effects of support condition on concrete crosstie’s deformation using non-contact laser speckle imaging sensor. In 13th International Conference on the Mechanical Behaviour of Materials (ICM/ 3), 11-14 June 2019, Melbourne, Australia.

Pang, Y., Chen, B. K., Lingamanaik, S. N., and Yu, S. F. (2018). Development of a non-contact laser speckle imaging system for strain measurements in rails. In Proceedings CORE 2018 – Conference on Railway Excellence Sydney Australia, Sydney.