Computational and experimental study demonstrates an integrated optimization workflow for thin-walled cast iron components, suggesting a viable route for lightweight automotive manufacturing.
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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Roudbarian et al. (2026) studied this question.
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