Professor Lin''s research experience is in Materials and process modelling, Solid/Computational mechanics, which includes micro-mechanics modelling, and its application in creep-damage, cyclic-plasticity-damage, viscoplasticity and advanced metal forming technologies.
At the University of Sheffield and UMIST, He worked on the development of unified creep-damage, viscoplasticity-damage, coupled creep and cyclic-plasticity damage constitutive equations. These equations were implemented in FE solvers to predict the damage and failure of engineering materials, such as copper, Al-alloys and nickel-based super-alloys, under different working conditions.
At the University of Birmingham, He worked on the development of unified viscoplastic constitutive equations to model micro-structure and damage evolution in hot/warm metal forming processes. Some examples include: (i) phase transformation in hot-stamping with cold-die quenching, (ii) grain growth in superplastic forming, (iii) age precipitation hardening in creep-age-forming, (iv) recrystallisation, grain size and damage evolution in hot rolling, etc.. He is one of the originators for the development of Evolutionary Algorithms (EA)-based optimization techniques for the determination of physically-based unified constitutive equations from experimental data.
He has also developed an integrated facility for micro-mechanics modelling. Particular applications include the forming of micro components, such as extrusion of micro pins, hydroforming of micro-tubes, etc.
et al., 2021, A novel spatio-temporal method for determining necking and fracture strains of sheet metals, International Journal of Mechanical Sciences, Vol:189, ISSN:0020-7403
et al., 2020, A CDRX-based material model for hot deformation of aluminium alloys, International Journal of Plasticity, Vol:134, ISSN:0749-6419, Pages:1-17
et al., 2020, On the lower limit of misorientation of grain boundaries in hot forging of AA7050, 18th International Conference on Metal Forming 2020 (Virtual), Elsevier, Pages:744-748, ISSN:2351-9789
et al., 2020, A study on ratio and linearity of strain path in in-plane biaxial tensile test for formability evaluation, 18th International Conference on Metal Forming 2020 (Virtual), Elsevier, Pages:584-588, ISSN:2351-9789
et al., 2020, Reinforcement learning in free-form stamping of sheet-metals, 18th International Conference on Metal Forming 2020 (Virtual), Elsevier, Pages:444-449, ISSN:2351-9789