Automated Three-Dimensional Spatial Optimization for Multidomain Systems With Alignment Constraints

Abstract This article presents a modeling framework to optimize the three-dimensional placement of elements inside a given design space, explicitly accounting for their rotation, relative placement, and the alignment of connections. Specifically, we start from an integrated design framework and devise a model for automatic optimization of the three-dimensional placement of elements from a system-level perspective, for a predefined topology. Second, we derive constraints to prevent overlap between elements and to ensure automatic alignment of connection points in the case of mechanical connections. Finally, we showcase our framework on a four-wheel-driven electric vehicle powertrain by framing the problem as a mixed-integer second-order conic program, and we investigate the impact of different design approaches. The results demonstrate that our framework is capable of efficiently generating system design solutions in a fully automated manner using basic component properties only.

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Publication Details

Journal
Journal of Mechanical Design
Published
2025-12-09
DOI
https://doi.org/10.1115/1.4070618
Primary Topic
Topology Optimization in Engineering
Type
article
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article

Automated Three-Dimensional Spatial Optimization for Multidomain Systems With Alignment Constraints

Mauro Salazar, Théo Hofman, Jorn van Kampen
Journal of Mechanical Design
Topology Optimization in Engineering
article

Automated Three-Dimensional Spatial Optimization for Multidomain Systems With Alignment Constraints

Mauro Salazar, Théo Hofman, Jorn van Kampen
article en

Abstract

Abstract This article presents a modeling framework to optimize the three-dimensional placement of elements inside a given design space, explicitly accounting for their rotation, relative placement, and the alignment of connections. Specifically, we start from an integrated design framework and devise a model for automatic optimization of the three-dimensional placement of elements from a system-level perspective, for a predefined topology. Second, we derive constraints to prevent overlap between elements and to ensure automatic alignment of connection points in the case of mechanical connections. Finally, we showcase our framework on a four-wheel-driven electric vehicle powertrain by framing the problem as a mixed-integer second-order conic program, and we investigate the impact of different design approaches. The results demonstrate that our framework is capable of efficiently generating system design solutions in a fully automated manner using basic component properties only.

Journal of Mechanical DesignVol. 148(5)
Design Academy Eindhoven (NL), Eindhoven University of Technology (NL)
Openalex Percentile: Top 60%
Topology Optimization in Engineering
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