TY - GEN
T1 - DISTRIBUTING DESIGN DOMAINS FOR TOPOLOGY OPTIMIZATION IN SYSTEMS DESIGN
AU - Endress, Felix
AU - Kipouros, Timoleon
AU - Zimmermann, Markus
N1 - Publisher Copyright:
Copyright © 2023 by ASME.
PY - 2023
Y1 - 2023
N2 - When objectives, constraints, boundary conditions, and loading conditions are clear, topology optimization is useful to generate the optimal shape for an individual component. However, in systems consisting of multiple components, component interfaces and their locations may have a significant influence on the component, and, thus, the global system performance. Before topology optimizations can be performed, design domains and associated loading conditions must be allocated to the individual components when designing the system. Unfortunately, to optimally define interfaces in lightweight design, the mechanical performance of each component must be known. This paper proposes a simple and robust approach to specifying the settings for component optimization in a system context. In the first step, requirements are elicited and categorized in system- and component-level. Next, a topology optimization formulation at the component-level is derived from the requirements. Third, different interface definitions are generated, and optimal topologies are computed using sampling. This database is evaluated using a Parallel Coordinates tool, determining the optimal distribution of design domains and incorporating formal and informal constraints. Lastly, final geometries are computed using topology optimization with the setup resulting from system optimization. By informing system-level design with information from the detail design, design domains can be optimally distributed. In a use case, the approach is applied to the control system of a glider airplane, where a common design domain is allocated to three brackets. Optimization at system- and component-levels lead to a reduction in mass by ~11 % compared to an intuitive distribution of design domains. With the proposed approach, individual topology optimizations of single components will contribute to the global system performance in an optimal way.
AB - When objectives, constraints, boundary conditions, and loading conditions are clear, topology optimization is useful to generate the optimal shape for an individual component. However, in systems consisting of multiple components, component interfaces and their locations may have a significant influence on the component, and, thus, the global system performance. Before topology optimizations can be performed, design domains and associated loading conditions must be allocated to the individual components when designing the system. Unfortunately, to optimally define interfaces in lightweight design, the mechanical performance of each component must be known. This paper proposes a simple and robust approach to specifying the settings for component optimization in a system context. In the first step, requirements are elicited and categorized in system- and component-level. Next, a topology optimization formulation at the component-level is derived from the requirements. Third, different interface definitions are generated, and optimal topologies are computed using sampling. This database is evaluated using a Parallel Coordinates tool, determining the optimal distribution of design domains and incorporating formal and informal constraints. Lastly, final geometries are computed using topology optimization with the setup resulting from system optimization. By informing system-level design with information from the detail design, design domains can be optimally distributed. In a use case, the approach is applied to the control system of a glider airplane, where a common design domain is allocated to three brackets. Optimization at system- and component-levels lead to a reduction in mass by ~11 % compared to an intuitive distribution of design domains. With the proposed approach, individual topology optimizations of single components will contribute to the global system performance in an optimal way.
KW - data-driven product design
KW - multiobjective optimization
KW - systems design
KW - Topology optimization
UR - http://www.scopus.com/inward/record.url?scp=85178504271&partnerID=8YFLogxK
U2 - 10.1115/DETC2023-114883
DO - 10.1115/DETC2023-114883
M3 - Conference contribution
AN - SCOPUS:85178504271
T3 - Proceedings of the ASME Design Engineering Technical Conference
BT - 43rd Computers and Information in Engineering Conference (CIE)
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2023
Y2 - 20 August 2023 through 23 August 2023
ER -