Harvester separation on GPU

Aspherix® and CFDEM®coupling allow for the advanced multi-phase simulation of complex crop separation and sieving processes. By utilizing the cutting-edge Immersed Boundary (IB) technique, engineers can seamlessly integrate arbitrary, high-frequency geometric motions—such as the complex wiggling of a harvester's chaffer—directly into the fluid-particle flow. Powered entirely by GPU acceleration, this digital twin accurately tracks the interaction of nearly a million particles alongside dynamic fluid meshes to model realistic segregation and sieving behavior. This integrated workflow delivers a high-fidelity predictive tool, enabling R&D managers to maximize grain throughput, minimize crop loss, and accelerate the development of next-generation agricultural equipment.

Plough wear prediction