Discretization · Automotive
2D Finite Difference Method (FDM) for Automotive
Apply the 2d finite difference method (fdm) to real automotive 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 automotive, teams face challenges like drag and fuel economy, crash safety, battery thermal management. The 2d finite difference method (fdm) directly supports use cases such as external aerodynamics, crashworthiness fea, ev battery cooling, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.
Typical Automotive use cases
- External aerodynamics
- Crashworthiness FEA
- EV battery cooling
Upgrade your workspace
Math / Dynamical Systems Kit — $19
ODEs, PDEs, chaos, and dynamical-systems exploration.
Recommended products
Video Export Credit ×3
$4Render three 4K simulation videos of your time-domain results.
Shareable Interactive Embed
$3Publish one live, interactive embed of a simulation to any site.
Physics Starter Kit
$19Everything you need to start simulating classical & modern physics.
Solver Validation & Benchmarking
$149Validate your setup against benchmark cases and report accuracy.
Outcome / Accuracy Assurance Review
$15A specialist sanity-checks a result before you rely on it.
FEA Masterclass
$25An in-depth masterclass on finite-element analysis.