LiLiang Wang received his PhD degree from Delft University of Technology. He joined Imperial College in 2009.
Dr Wang’s major research interests include the design and development of advanced metal forming technologies and manufacturing system. His work has made fundamental contributions to characterization and modelling of materials and interfacial behaviours of engineering materials. Particularly, Dr Wang’s research has direct impacts on sustainable manufacturing, e.g., Hot stamping of Aluminium alloy (International Journal of Machine Tools and Manufacture 87, 39-48); Data sciences in metal forming (Nat. Commun., 2022, 13: 5748,); novel lightweight forming technology: FAST (Int. J. Plast., 2019, 119: 230-248); Tribology in metal forming (Friction 10 (6), 911-926) and innovative material characterization techniques (Addit. Manuf. 2021, 37: 101720).
PHD POSITIONS AVAILABLE
There are PhD-student vacancies in the group. Please contact me for information.
et al., 2022, Digitally-enhanced lubricant evaluation scheme for hot stamping applications, Nature Communications, Vol:13, ISSN:2041-1723
et al., 2019, Development of the post-form strength prediction model for a high-strength 6xxx aluminium alloy with pre-existing precipitates and residual dislocations, International Journal of Plasticity, Vol:119, ISSN:0749-6419, Pages:230-248
et al., 2018, Transition of failure mode in hot stamping of AA6082 tailor welded blanks, Journal of Materials Processing Technology, Vol:257, ISSN:0924-0136, Pages:33-44
et al., 2017, Forming limit prediction for hot stamping processes featuring non-isothermal and complex loading conditions, International Journal of Mechanical Sciences, Vol:131-132, ISSN:0020-7403, Pages:792-810
et al., 2017, Hot stamping of AA6082 tailor welded blanks: experiments and knowledge based cloud FE (KBC-FE) simulation, Journal of Materials Processing Technology, Vol:250, ISSN:0924-0136, Pages:228-238
et al., 2017, Determination of the interfacial heat transfer coefficient for a hot aluminium stamping process, Journal of Materials Processing Technology, Vol:247, ISSN:1873-4774, Pages:158-170
Wang L, Politis DJ, Masen MA, 2016, Development of an interactive friction model for the prediction of lubricant breakdown behaviour during sliding wear, Tribology International, Vol:110, ISSN:1879-2464, Pages:370-377
et al., 2015, The friction coefficient evolution of a TiN coated contact during sliding wear, Applied Surface Science, Vol:345, ISSN:0169-4332, Pages:109-115