Integrated topology and shape optimization of a thin-walled automotive demonstrator under casting constraints

Lightweight cast automotive components are essential for reducing CO₂ emissions while ensuring sufficient structural performance. Sand casting of nodular cast iron remains a cost-efficient method for producing complex geometries; however, thin-walled sections are still challenging due to risks of incomplete filling, core-removal constraints, and defects associated with rapid solidification. This study introduces an integrated workflow that links topology optimization, casting-aware redesign, and shape optimization to develop a thin-walled demonstrator for a trailer component. Beginning with a simplified design space, topology optimization was used to establish an efficient load-carrying design. The geometry was then reworked to fulfill key casting constraints, including minimum wall thickness and core removability. A subsequent shape optimization step refined the hole regions to reduce local stress concentrations, while casting simulations were employed to assess manufacturability and identify potential defect-prone zones. The proposed workflow provides a manufacturing-oriented approach for converting topology-optimized designs into castable thin-walled components under realistic process constraints. By combining structural optimization with process-driven design adaptations, it delivers a lightweight and mechanically robust design that was experimentally validated through successful sand casting of the demonstrator.

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Publication Details

Journal
Journal of Manufacturing Processes
Published
2026-09-04
DOI
https://doi.org/10.1016/j.jmapro.2026.09.004
Primary Topic
Topology Optimization in Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

Integrated topology and shape optimization of a thin-walled automotive demonstrator under casting constraints

Lukas Kettenhofen, Nima Roudbarian, Mohammadali Ebadi, Mahan Firoozbakht et al.
Journal of Manufacturing Processes
Topology Optimization in Engineering
article

Integrated topology and shape optimization of a thin-walled automotive demonstrator under casting constraints

Lukas Kettenhofen, Nima Roudbarian, Mohammadali Ebadi, Mahan Firoozbakht, Andreas Bührig-Polaczek, Kai-Uwe Schröder, Jayesh Singh
article en

Abstract

Lightweight cast automotive components are essential for reducing CO₂ emissions while ensuring sufficient structural performance. Sand casting of nodular cast iron remains a cost-efficient method for producing complex geometries; however, thin-walled sections are still challenging due to risks of incomplete filling, core-removal constraints, and defects associated with rapid solidification. This study introduces an integrated workflow that links topology optimization, casting-aware redesign, and shape optimization to develop a thin-walled demonstrator for a trailer component. Beginning with a simplified design space, topology optimization was used to establish an efficient load-carrying design. The geometry was then reworked to fulfill key casting constraints, including minimum wall thickness and core removability. A subsequent shape optimization step refined the hole regions to reduce local stress concentrations, while casting simulations were employed to assess manufacturability and identify potential defect-prone zones. The proposed workflow provides a manufacturing-oriented approach for converting topology-optimized designs into castable thin-walled components under realistic process constraints. By combining structural optimization with process-driven design adaptations, it delivers a lightweight and mechanically robust design that was experimentally validated through successful sand casting of the demonstrator.

Journal of Manufacturing ProcessesVol. 175
RWTH Aachen University (DE)
Bundesministerium für Wirtschaft und Energie, RWTH Aachen University
Openalex Percentile: Top 16%
Topology Optimization in Engineering
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Integrated topology and shape optimization of a thin-walled automotive demonstrator under casting constraints — Lukas Kettenhofen, Nima Roudbarian, et al. · Journal of Manufacturing Processes (2026) | TGRS Research Map | TGRS