Topological optimization and generative design are methodologies that can reduce the weight of aerospace and automotive components without worsen- ing stiffness, strength, or natural frequency. The obtained shapes are typically based on complex geometries and can hardly be obtained using traditional work- ing processes, such as chip removal machining; additive manufacturing technolo- gies should be used instead. Several commercial tools are available to design lightweight structures, providing different results when optimization is performed to reduce mass while preserving stiffness or strength. In this paper, a case study is shown to support the wide variety of shapes that can be obtained, and an inter- view among experts in the field has been carried out to understand the motivations underlying the preference for an optimized model over another one. Those com- ments can be helpful for software developers to match the users’ requests better and develop the new generation of CAD systems capable of handling lightweight complex shapes.
Ceruti, A., Mantovani, S., Giacalone, M. (2026). A Benchmarking Analysis of Commercial Software for Topology Optimization in Industrial Applications. Springer [10.1007/978-3-032-21157-6_46].
A Benchmarking Analysis of Commercial Software for Topology Optimization in Industrial Applications
Ceruti A.
;
2026
Abstract
Topological optimization and generative design are methodologies that can reduce the weight of aerospace and automotive components without worsen- ing stiffness, strength, or natural frequency. The obtained shapes are typically based on complex geometries and can hardly be obtained using traditional work- ing processes, such as chip removal machining; additive manufacturing technolo- gies should be used instead. Several commercial tools are available to design lightweight structures, providing different results when optimization is performed to reduce mass while preserving stiffness or strength. In this paper, a case study is shown to support the wide variety of shapes that can be obtained, and an inter- view among experts in the field has been carried out to understand the motivations underlying the preference for an optimized model over another one. Those com- ments can be helpful for software developers to match the users’ requests better and develop the new generation of CAD systems capable of handling lightweight complex shapes.| File | Dimensione | Formato | |
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