Yong Pang

Contact

• workRoom C8 Coates Building
  University Park
  Nottingham
  NG7 2RD
  UK
• work+44 07448226001
• Yong.Pang@nottingham.ac.uk
• https://scholar.google.com.au/citations?user=dyBINWYAAAAJ&hl=en

Biography

Dr Yong Pang was employed as Research Fellow by the University of Nottingham in 2021. Before this appointment, he was employed as a Research Associate in the Department of Mechanical and Aerospace Engineering, Monash University in 2018. He received his PhD degree in Mechanical Engineering from Monash University (Australia) in 2020 and an MSc degree in Mechanical Engineering Design from the University of Manchester (UK) in 2016. He has expertise in Biomedical Engineering, Finite Element Analysis, Laser Speckle Imaging, Digital Image Correlation, and Material Characterization Techniques (such as EBSD, SEM, EDS & TEM). Dr Yong Pang has published several articles in international journals and conferences, and he has also been regularly invited as a peer reviewer for renowned international journals.

Expertise Summary

• Laser Physics
• Digital Image Correlation
• Solid Mechanics
• Advanced Manufacturing
• Finite Element Simulation
• Composites

Selected Publications

• PANG, YONG, CHEN, BERNARD K., YU, SIU FUNG and LINGAMANAIK, SIVA N., 2020. Enhanced laser speckle optical sensor for in situ strain sensing and structural health monitoring Opt. Lett.. 45(8), 2331-2334
• PANG, YONG, CHEN, BERNARD K., LIU, WENCHENG, YU, SIU FUNG and LINGAMANAIK, SIVA N., 2020. Development of a non-contact and non-destructive laser speckle imaging system for remote sensing of anisotropic deformation around fastener holes NDT & E Int.. 111,
• PANG, YONG, LINGAMANAIK, SIVA N., CHEN, BERNARD K. and YU, SIU FUNG, 2020. Measurement of deformation of the concrete sleepers under different support conditions using non-contact laser speckle imaging sensor Eng. Struct.. 205,
• PANG, YONG, CHEN, BERNARD K. and LIU, WENCHENG, 2019. An investigation of plastic behaviour in cold-rolled aluminium alloy AA2024-T3 using laser speckle imaging sensor Int. J. Adv. Manuf. Technol.. 103(5-8), 2707-2724

• View all publications

• LIU, WENCHENG and PANG, YONG, 2021. A multi-scale modelling framework for anisotropy prediction in aluminium alloy sheet and its application in the optimisation of the deep-drawing process Int. J. Adv. Manuf. Technol..
• PANG, YONG, CHEN, BERNARD K., YU, SIU FUNG and LINGAMANAIK, SIVA N., 2020. Enhanced laser speckle optical sensor for in situ strain sensing and structural health monitoring Opt. Lett.. 45(8), 2331-2334
• PANG, YONG, CHEN, BERNARD K., LIU, WENCHENG, YU, SIU FUNG and LINGAMANAIK, SIVA N., 2020. Development of a non-contact and non-destructive laser speckle imaging system for remote sensing of anisotropic deformation around fastener holes NDT & E Int.. 111,
• PANG, YONG, LINGAMANAIK, SIVA N., CHEN, BERNARD K. and YU, SIU FUNG, 2020. Measurement of deformation of the concrete sleepers under different support conditions using non-contact laser speckle imaging sensor Eng. Struct.. 205,
• LIU, WENCHENG, CHEN, BERNARD K., PANG, YONG and NAJAFZADEH, ALI, 2020. A 3D phenomenological yield function with both in and out-of-plane mechanical anisotropy using full-field crystal plasticity spectral method for modelling sheet metal forming of strong textured aluminum alloy Int. J. Solids Struct.. 193, 117-133
• MICHELETTO, ANTHONY, COOKSON, JOHN, PANG, YONG and CHEN, BERNARD, 2020. The structural integrity of flash-butt welded premium rail steel – Evaluation of strength, microstructure and defects J. Rail Rapid Transit. 0(0), 1-7
• PANG, YONG, CHEN, BERNARD K. and LIU, WENCHENG, 2019. An investigation of plastic behaviour in cold-rolled aluminium alloy AA2024-T3 using laser speckle imaging sensor Int. J. Adv. Manuf. Technol.. 103(5-8), 2707-2724
• LIU, WENCHENG, CHEN, BERNARD K. and PANG, YONG, 2019. Numerical investigation of evolution of earing, anisotropic yield and plastic potentials in cold rolled FCC aluminium alloy based on the crystallographic texture measurements Eur. J. Mech. A Solids. 75, 41-55
• LIU, WENCHENG, CHEN, BERNARD K. and PANG, YONG, 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 Int. J. Adv. Manuf. Technol.. 97(9-12), 3407-3421