Fluid · Packaging
Implicit Lattice Boltzmann Method (LBM) for Packaging
Apply the implicit lattice boltzmann method (lbm) to real packaging problems — in the browser, with AI assistance.
This is the implicit variant of the Lattice Boltzmann Method (LBM). LBM evolves discrete velocity distributions with a collision–streaming update, naturally parallel and well-suited to complex boundaries.
In packaging, teams face challenges like drop protection, material cost, sustainability. The implicit lattice boltzmann method (lbm) directly supports use cases such as drop-test fea, cushioning analysis, material optimization, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.
Typical Packaging use cases
- Drop-test FEA
- Cushioning analysis
- Material optimization
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