Optimal design of gasturbine parts
Title: Optimal design of gasturbine parts
DNr: NAISS 2023/5-423
Project Type: NAISS Medium Compute
Principal Investigator: Carl-Johan Thore <carl-johan.thore@liu.se>
Affiliation: Linköpings universitet
Duration: 2023-11-01 – 2024-11-01
Classification: 20301 10105


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] we have developed a method for optimal design of gas turbine parts using topology optimization using 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 design. Currently even a single optimization run on a medium-sized, academic 3D case requires 5-10000 core hours. Going forward, we see a need to increase the complexity of our physics models and to use finer computational meshes, leading to a significantly increased computational cost compared to our current usage. In addition, we aim at developing a framework for numerical experiments on optimized designs using very high fidelity CFD models. The proposed project complements our other, far smaller Medium project NAISS 2023/5-130 which runs until April 2024. As most of the things we do in the cluster is now related to optimal design of gas turbine parts, we would be fine combining the proposed project and NAISS 2023/5-130, should that somehow be more convenient. References [1] 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. [2] 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 [3] 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