Morphorm

AI that speeds up engineering innovation. Months to days.

[Morphorm @morphorm]

https://t.co/tf7RDlB9X2

#Aeroelasticity #Hypersonics

[Morphorm @morphorm]

Our AePW-4 paper is on @arxiv: "Structure-preserving reduced-order models of thin panels in supersonic and hypersonic flow."

RC-19 panel: within 1.0% of the measured 236 Hz.
HyMAX plate: 65 ms running free, within 3.67%.

[Morphorm @morphorm]

Watch a shipboard equipment frame shed 46% of its material over 199 design steps and come out meeting the @USNavy shock & vibration requirement from every direction.

Design results; testing on production hardware comes next.

#NavalEngineering

[Morphorm @morphorm]

The full method is in our paper, now on arXiv: "Topology optimization of shipboard components for Navy shock certification via the Dynamic Design Analysis Method"
https://t.co/RGQJOSB6Lb

These are design results; testing on production hardware comes next.

#NavalEngineering

[Morphorm @morphorm]

Watch a shipboard equipment frame shed 46% of its material over 199 design steps and come out meeting the @USNavy shock & vibration requirement from every direction.

Design results; testing on production hardware comes next.

#NavalEngineering

[Morphorm @morphorm]

These are design results; testing on production hardware comes next. One-page summary attached.

If you design or certify shipboard equipment, what slows you down today?

#NavalEngineering

[Morphorm @morphorm]

More material does not always help shipboard equipment survive shock.

On an equipment frame, the solid baseline was 30% over the stress limit. Our design software removed 46% of the material, and the optimized frame meets the requirement for shock from every direction.

[Morphorm @morphorm]

The @USNavy requires equipment to survive the shock of an underwater explosion, and that check usually comes after a design is finished.

We built it into the design itself, so the requirement shapes the part from the first step.

[Morphorm @morphorm]

Air flowing past a flexible elastic beam

https://t.co/SwSCiDoEVz via @YouTube

#PhysicsAI #MachineLearning #FSI #CFD

[Morphorm @morphorm]

An elastic beam bending in turbulent flow

https://t.co/srcCihEiAE via @YouTube

#PhysicsAI #MachineLearning #StructuralDynamics #CFD

[Morphorm @morphorm]

Swirling flow behind a step

https://t.co/spcRJTgg73 via @YouTube

#PhysicsAI #MachineLearning #Turbulence #CFD

[Morphorm @morphorm]

Turbulent flow in a water tunnel

https://t.co/rFI61GSqxQ via @YouTube

#PhysicsAI #MachineLearning #CFD #Turbulence

[Morphorm @morphorm]

@morphorm has been selected by @AFWERX for an SBIR Phase I contract. Our STRIKE project delivers physics-guaranteed #AI for #hypersonic flight structures: fast, trustworthy models for real-time design. Grateful to @AFWERX and @AFResearchLab.

#SBIR #Hypersonics #MachineLearning

[Morphorm @morphorm]

@morphorm has been selected by @AFWERX for an SBIR Phase I contract. Our STRIKE project delivers physics-guaranteed #AI for #hypersonic flight structures: fast, trustworthy models for real-time design. Grateful to @AFWERX and @AFResearchLab

#SBIR #Hypersonics #MachineLearning

[Morphorm @morphorm]

@morphorm has been selected by @AFWERX for an SBIR Phase I contract. Our STRIKE project delivers physics-guaranteed #AI for #hypersonic flight structures: fast, trustworthy models for real-time design. Grateful to @AFWERX and @AFResearchLab

#SBIR #Hypersonics #MachineLearning

[Morphorm @morphorm]

@morphorm has been selected by @AFWERX for an SBIR Phase I contract. Our STRIKE project delivers physics-guaranteed #AI for #hypersonic flight structures: fast, trustworthy models for real-time design. Grateful to @AFWERX and @AFResearchLab.

#SBIR #Hypersonics #MachineLearning

[Morphorm @morphorm]

Honored to be featured by @SandiaLabs. @morphorm grew out of @SandiaLabs and we're now bringing that technology to industry, starting with defense and semiconductor applications. Trial release coming soon!

🔗 https://t.co/p7dfVyKFuq

[Morphorm @morphorm]

This work advances the solver technology behind @morphorm's #simulation-driven #design #optimization platform.

🔗 https://t.co/VxIRvGs0rm

#TopologyOptimization #ReducedOrderModeling #ComputationalMechanics

[Morphorm @morphorm]

Topology optimization is bottle-necked by costly #FEM solves at every iteration. Our new preprint tackles this with a trust-region method + self-correcting POD #SurrogateModels - big speedups on cannonical benchmarks, with no loss in design quality. 🧵👇