Title:	Optimal design in multi-physics problems
DNr:	NAISS 2024/5-533
Project Type:	NAISS Medium Compute
Principal Investigator:	Carl-Johan Thore <carl-johan.thore@liu.se>
Affiliation:	Linköpings universitet
Duration:	2024-11-01 – 2025-11-01
Classification:	20301 10105
Keywords:

Abstract

This project investigates the use of computational design methods for optimal design of structures subjected to extreme mechanical and thermal loads. In a series of articles [1,2,3,4] and a PhD thesis [5], we have developed a method for optimal design of gas turbine parts using topology optimization with finite elements for structural, thermal and flow analysis. Topology optimization is an iterative process in which several hundred candidate designs are generated and simulated to obtain an optimized designs. This is clearly a compute-intensive process which necessitates the use of high-performance computing resources. While our main focus continues to be design for gas turbine parts we have also ventured into fluid-structure interaction (i.e. direct mechanical interaction between fluid and solids) problems and therefore we have chosen a more general title for this continuation proposal to reflect the somewhat broader scope. References [1] Lundgren J, Lundgren J-E, Najafabadi HN and Thore C-J. Optimal internal cooling using large-scale 3D Multiphysics topology optimization with voxelization. Accepted for publication in Engineering Optimization, 2024 [2] Lundgren J, Lundgren J-E, and Thore, C-J, Flow-heat topology optimization of internally cooled high temperature applications using a voxelization approach for domain initialization, Engineering Optimization, 2023. [3] Thore C-J, Lundgren J and Lundgren J-E, A mathematical game for topology optimization of cooling systems, ZAMM -- Journal of Applied Mathematics and Mechanics, 2022 [4] Thore C-J, Lundgren J, Lundgren J-E and Klarbring A, Topology optimization for minimum temperature with mass flow and stiffness constraints, Computer Methods in Applied Mechanics and Engineering, 2022 [5] Lundgren J, Internal Cooling Design Using Multiphysics Topology Optimization, PhD thesis, Linköping University, 2024