Discretization · Packaging
2D Finite Difference Method (FDM) for Packaging
Apply the 2d finite difference method (fdm) to real packaging problems — in the browser, with AI assistance.
This is the 2d variant of the Finite Difference Method (FDM). FDM replaces derivatives with difference quotients on a regular grid — simple to implement and ideal for diffusion, wave, and reaction–diffusion PDEs.
In packaging, teams face challenges like drop protection, material cost, sustainability. The 2d finite difference method (fdm) 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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