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ProteinProcessIO

A physics-based desktop simulator for plant-protein dry fractionation. RF pretreatment, hammer milling, and air classification, validated against NRC Canada experimental data.

Custom SoftwareData Systems
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Yellow peas and fine protein flour on a research workbench for dry fractionation
The brief

Challenge

Physical fractionation trials are slow and expensive. Researchers needed virtual experiments they could trust against real equipment measurements.

The build

Approach

A GPU-accelerated multiphysics pipeline (NVIDIA Warp) with material presets for yellow pea, faba bean, and red lentil. Developed at McGill and checked against NRC Canada measurements (for example, D50 23.6 µm simulated vs 23.7 µm measured).

Capacités

What it does

  • Coupled RF, milling, and air-classification stages
  • GPU-accelerated Lagrangian particle tracking
  • Mass-balance tracking with multi-pass recirculation
  • Available for research and academic use

Process Simulation · Plant Protein · Dry Fractionation

Attribution

Built by the founder

Engineered by Emmanuel Amankrah Kwofie, founder and CTO of Vinerals Technologies, at SASEL Lab, McGill University, with academic and industry partners across Canada, Europe, and Africa.

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