The RBF Collocation Method to Design a Digital Twin for Coffee Percolation

TL;DR

This paper introduces a meshless Radial Basis Function collocation method to accurately model the complex physical and chemical processes in coffee percolation, providing a robust alternative to traditional simulation software.

Contribution

It develops a novel meshless numerical approach using RBF collocation for simulating coffee extraction, enhancing accuracy and robustness over existing methods.

Findings

The RBF collocation method achieves high accuracy in modeling coffee percolation.

The approach is robust and compares favorably with established simulation software.

It offers a new tool for simulating complex physico-chemical processes in food engineering.

Abstract

Espresso coffee extraction is a complex physico-chemical process and can be modeled through a system of coupled partial differential equations. We present a numerical solution based on a meshless Collocation Method using Radial Basis Functions and Kansa's approach, which reveals to be accurate and robust in comparison to a reference numerical solution provided by a well-known simulation software.