Heavy-Lift Drone Chassis: Process Migration from AM to Investment Casting

This case study shows how Cognitive Design migrated an organic drone chassis from titanium AM to investment casting, cutting unit cost by 85% and engineering lead time by 87%, while maintaining full structural integrity under a 20kg payload.
Heavy-Lift Drone Chassis: Process Migration from AM to Investment Casting

In industrial inspection, drone endurance is directly governed by structural mass. Standard machined aluminum chassis rely on bulk material to maintain rigidity under payload and rotor loads, adding weight that cuts directly into flight time and agility. An industrial drone manufacturer partnered with Cognitive Design to optimize their legacy frame for a 100-unit production run, targeting aggressive mass reduction while validating a cost-effective manufacturing route for series production.

Drone chassis design for heavy-lift applications sits at the intersection of competing constraints: rotor thrust vectors, payload forces, and landing shocks demand robust geometry, yet every excess gram degrades flight time and payload capacity. Traditional workflows force engineers through sequential CAD/FEA loops, each cycle consuming days, and evaluating alternative manufacturing routes means running entirely separate design tracks.

With Cognitive Design, the engineering team explored multiple generative topologies and two material candidates (Ti-6Al-4V versus Al-6061) within a single session, running a critical AM-to-Investment Casting migration study with real-time meshless FEA validating each concept as it evolved.

View of the Design Exploration in Cognitive Design (Design Explorer)
View of the Design Exploration in Cognitive Design (Design Explorer)

Results Achieved

80% mass reduction

The optimized Ti-6Al-4V chassis achieved an 80% reduction in mass compared to the legacy machined block design, dropping from 2.50 kg to 0.50 kg. Topology Optimization generated an organic, skeletal structure that directs rotor thrust and payload forces through the most efficient load paths, eliminating all non-structural material while maintaining a safety factor of 1.5 under 3G landing shock.

87% faster engineering

Using Cognitive Design's integrated workflow, the engineering team compressed design exploration and validation from 172 hours with a conventional software stack to just 23 hours, exploring multiple manufacturing strategies and two material candidates within a single generative study.

85% unit cost reduction through process migration

The manufacturing-driven design workflow enabled a direct migration from metal AM to Investment Casting without redesigning from scratch. By running automated draft-angle analysis and geometry smoothing within Cognitive Design, the team adapted the organic topology for a castable workflow, reducing unit cost from 3,450 EUR to 515 EUR for a 100-part production run, making the lightweight drone commercially viable at scale.

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