Accelerating the Design of a Castable Gearbox Housing for a Hybrid Vehicle
Gearbox housings remain as one of the car components that must now respond to continuous system evolution: changes in electric motor packaging, inverter positioning, new cooling layouts, shifting loadpaths... Design engineers are on the front line, responsible for delivering parts that fit evolving assemblies, meet performance targets, and comply with casting-specific manufacturing rules. However, fragmented workflows and rigid CAD processes make this task time-consuming and error-prone.
This case study focuses on the design of a castable gearbox housing for a next-generation hybrid vehicle, showing how the integration of performance and manufacturability constraints within an automated workflow allows engineers to deliver more reliable, and production-ready results 10 times faster, even when system definitions change mid-stream.
Results
- 10x faster design delivery compared to conventional CAD workflows
- Full casting manufacturability compliance validated during concept phase
- Automatic design propagation when upstream system definitions changed
- Production-ready geometry with zero manual DFM iteration cycles
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Cognitive Design integrates casting-specific manufacturing constraints, including draft angles, wall thickness rules, and parting line analysis, directly into the topology optimization workflow. For a next-generation hybrid gearbox housing, this enabled a 10x engineering acceleration, reducing lead time from 5 days to 12 hours, while delivering a production-ready castable geometry from the first iteration.
Yes. Because Cognitive Design's workflow is parametric, changes to boundary conditions, load inputs, or interface geometry are propagated automatically through the full optimization and validation chain. This makes the platform particularly well-suited to EV and hybrid programs where motor packaging, inverter positioning, and cooling layouts frequently change before design freeze.
Cognitive Design's Manufacturing-Driven Design for casting embeds draft angle requirements, minimum wall thickness, undercut avoidance, and parting line feasibility directly into the topology optimization loop. This ensures every generated concept meets die-casting or sand-casting process requirements from the first iteration, eliminating manual casting feasibility reviews that typically add weeks to automotive structural part programs.
EV and hybrid gearbox housings must simultaneously accommodate evolving motor packaging, inverter positioning, cooling layouts, and shifting load paths, all while meeting casting-specific geometry rules. Cognitive Design's unified workflow allows engineers to respond to mid-stream system definition changes without rebuilding the optimization from scratch, which is essential given the architectural volatility typical of next-generation EV programs.
Compressing gearbox housing design from 5 days to 12 hours enables automotive engineering teams to complete more iteration cycles within fixed program gate timelines, evaluate a wider range of architecture variants, and respond to system-level changes without delaying downstream tooling and validation activities. For OEMs managing complex EV platform rollouts, this acceleration directly reduces time-to-market risk.
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