Reliability,  Modelling  & Optimization 
RMO research group
Reliable Design, Materials & Manufactur​ing 

RMO / Research / Reliable Materials

Reliable Materials

To ensure reliable materials, we focus on multiscale material analysis and prediction of i.e. defect size and distributions, phase transformations and grain size evolutions during additive manufacturing, welding and sintering. Herein, advanced simulation tools are employed, and a key aspect is to find trade-off between computation time and the level of detail of simulation model. In our research, we combine simulations at different scales with data-driven models to ease the computational burden of multiscale material modelling.

Selected representative publications

R. Mansour, P. Enblom, M. Subasic, A. Ireland, F. Gustavsson, B. Forssgren and P. Efsing, "Influence of viscoplastic relaxation and strain-induced martensitic transformation on the fatigue life of 304L stainless steel through a single hold time," International Journal of Fatigue, 2025.

M. Subasic, A. Ireland, R. Mansour, P. Enblom, P. Krakhmalev, M. Åsberg, A. Fazi, J. Gårdstam, J. Shipley, P. Waernqvist, B. Forssgren, P. Efsing, "Experimental investigation and numerical modelling of the cyclic plasticity and fatigue behavior of additively manufactured 316 L stainless steel," International journal of plasticity, vol. 176, p. 103966, 2024.

M. Alzweighi, J. Tryding, R. Mansour, E. Borgqvist, and A. Kulachenko, "Anisotropic damage behavior in fiber-based materials: Modeling and experimental validation," Journal of the Mechanics and Physics of Solids, vol. 181, p. 105430, 2023.

R. Mansour and A. Kulachenko, "Stochastic constitutive model of thin fibre networks," in Mechanics of Fibrous Networks: Elsevier, 2022, pp. 75-112.

Selected representative research projects

"LoCalMag": Enabling Production of Low-Criticality Magnets by Optimizing Material-Process-Performance Linkages. 3-year funding (2025-2028) from Innovation Fund Denmark. Co-PI. 

"Concurrent multiscale micromechanical modelling of fibre networks." 3 year funding (2025-2028) from Swedish Research Council. Co-PI