AustraliaManufacturing2023 – ongoingAustal Limited
DeepMorpher AI for ship hull-form optimisation
Austal cut hull-form optimisation effort by an order of magnitude with its in-house DeepMorpher AI
Problem
Optimising a ship hull with computational fluid dynamics takes heavy computing resources and specialist knowledge. Austal wanted to explore more hull forms in less time.
Approach
Austal developed DeepMorpher, an AI toolset that fits into its existing design workflows. It ran the fluid dynamics work with high-performance computing from DUG Technology. Austal used it on monohull and multihull concepts for defence and commercial customers.
Results
Takeaway
The tool let designers try hull forms outside the company's usual product range with less specialist input.
Categories
- Industry
- Manufacturing
- Business function
- IT and R&D
- Innovation type
- Process innovation
- AI technology
- OptimizationPredictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Naval Technology described DeepMorpher, which Austal built to speed up hull optimisation. Austal said it was in use on monohull and multihull concepts. The only figure was a reduction by an order of magnitude in optimisation with CFD.
Full details are in the original sources.
