Afrasiabi Mamzi

• Advanced numerical methods development
• High-performance processing simulation
• Multi-scale and multi-physics modeling
• AI and data-driven approaches for process control and optimization
• CPU and GPU parallel computing

• GPU-enhanced metal cutting simulation using advanced meshfree methods (Swiss National Science Foundation)
• Spark plasma sintering of engineered 3D structures from binary metal systems (Swiss National Science Foundation)
• Multi-material laser powder bed fusion (Strategic Focus Area – Advanced Manufacturing)
• Metamodeling of welding & assembly distortions (Innosuisse)

• Afrasiabi, M., & Bambach, M. (2023). Modelling and simulation of metal additive manufacturing processes with particle methods: A review. Virtual and Physical Prototyping, 18(1): https://doi.org/10.1080/17452759.2023.2274494
• Lin, Y., Lüthi, C., Afrasiabi, M., & Bambach, M. (2023). Enhanced heat source modeling in particle-based laser manufacturing simulations with ray tracing. International Journal of Heat and Mass Transfer, 214: https://doi.org/10.1016/j.ijheatmasstransfer.2023.124378
• Kumar, A., Bernet, M., Deillon, L., Afrasiabi, M., & Bambach, M. (2023). A two-stage approach for material parameters identification in spark plasma Sintering. Mechanics of Materials, 187: https://doi.org/10.1016/j.mechmat.2023.104834
• Lüthi, C., Afrasiabi, M., & Bambach, M. (2023). An adaptive smoothed particle hydrodynamics (SPH) scheme for efficient melt pool simulations in additive manufacturing. Computers & Mathematics with Applications, 139: https://doi.org/10.1016/j.camwa.2023.03.003
• Mehrpouya, M., Tuma, D., Vaneker, T., Afrasiabi, M., Bambach, M., & Gibson, I. (2022). Multimaterial powder bed fusion techniques. Rapid prototyping journal, 28(11): https://doi.org/10.1108/RPJ-01-2022-0014

Link to Google Scholar: https://scholar.google.ch/citations?user=Kl8MTYcAAAAJ&hl=en