Julian Brotz

Julian Brotz serves as a Research Associate at the Professorship of Simulation for Additive Manufacturing, Technical University of Munich (TUM), Germany. His dual Master of Science degrees in Computational Science and Engineering and Aerospace Engineering were both completed at TUM in 2024, following a Bachelor of Science in Aerospace Engineering from the University of Stuttgart in 2021.

His educational qualifications include:

• 2024: Master of Science (M.Sc.), Computational Science and Engineering, Technical University of Munich
• 2024: Master of Science (M.Sc.), Aerospace Engineering, Technical University of Munich
• 2021: Bachelor of Science (B.Sc.), Aerospace Engineering, University of Stuttgart

Brotz specializes in computational methodologies for metal additive manufacturing processes, with core expertise in computational fluid dynamics and immersed boundary methods. His research addresses fluid-particle interactions in laser powder bed fusion (LPBFAM), high-performance computing infrastructure development, and multi-physics simulations of cohesive metal powders. He investigates thermo-solid-mechanics phenomena and microstructure evolution during additive manufacturing, integrating complex multiphase flow modeling with materials science principles to advance process predictability and quality control.

His 2024 publication in Additive Manufacturing demonstrates a computationally efficient framework for predicting microstructure evolution in Ti-6Al-4V components at part-scale, reflecting his focus on bridging high-fidelity physics with practical manufacturing constraints. The work emphasizes thermo-mechanical modeling and computational optimization for industrial-scale additive manufacturing applications.

No scientific awards or major grants are documented for Brotz in the available records. He has no listed advisees or student supervision activities. As part of Prof. Christoph Meier's research team at TUM, Brotz contributes to the ERC-funded research group focused on simulation-driven additive manufacturing, developing specialized software for multi-physics problems in powder bed fusion processes through high-performance computing solutions.