NEURAL SURROGATES MASS REDUCTION ALGORITHMS

AI-Driven Physics & Surrogate Modeling

Redistributing structural material algorithmically to achieve 20% to 45% weight savings while maximizing stiffness and respecting production manufacturing constraints.

Request Topology Optimization Scope
ALGORITHMIC REDISTRIBUTION

Cutting Deadweight Without Sacrificing Rigidity

Traditional design-by-intuition places metal in low-stress neutral zones while under-reinforcing critical load paths. In aerospace, automotive suspension, and robotics, every excess gram compounds inertia and power consumption.

Our generative CAE methodology leverages density-based SIMP algorithms to iteratively strip away non-functional material. We incorporate draft angles, split lines, and 3D print overhang limits so the generated geometry is immediately machinable or printable.

Loss Formulations with PDE Residuals Proper Orthogonal Decomposition (POD) Kriging & Gaussian Process Regressors Real-time Digital Twin Inference

OPTIMIZATION TARGETS

Inference Acceleration 1000x – 10,000x Speedup vs. Full 3D CFD/FEA
Residual L2 Error < 1.5% Across Validated Parameter Space
Model Footprint Embedded Edge Execution (< 50MB Binary)
Training Efficiency Sparse Sampling via Latin Hypercube DOE
APPLICATIONS

Industrial Scenarios

  • → Sub-second aerodynamic prediction for generative styling studios
  • → Real-time industrial boiler thermal monitoring via digital twins
  • → Predictive maintenance remaining useful life (RUL) estimation
  • → Battery degradation prognosis under stochastic duty cycles
DELIVERABLES

What You Receive

  • ✓ Exportable ONNX / FMU functional mock-up units for 1D systems
  • ✓ Trained neural surrogate weights with automated error bounds
  • ✓ Interactive web-based engineering exploration dashboards
  • ✓ Full training corpus and Latin hypercube sampling manifests

Transform Heavy Structures Into Optimized High-Performance Hardware

Partner with our generative CAE engineers to minimize mass, enhance natural frequencies, and accelerate component efficiency.

Start an Optimization Brief