Asymptotic Analysis of the Dominant Mechanisms in the Coffee Extraction Process

K. M. Moroney, W. T. Lee, S. B.G. O'Brien, F. Suijver, J. Marra

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Extraction of coffee solubles from roast and ground coffee is a highly complex process, depending on a large number of brewing parameters. We consider a recent, experimentally validated, model of coffee extraction, describing extraction from a coffee bed using a double porosity model, which includes dissolution and transport of coffee. It was shown that this model can accurately describe coffee extraction in two situations: extraction from a dilute suspension of coffee grains and extraction from a packed coffee bed. Despite being based on some simplifying assumptions, this model can only be solved numerically. In this paper we consider asymptotic solutions of the model describing extraction from a packed coffee bed. Such solutions can explicitly relate coffee concentration to the process parameters. For an individual coffee grain, extraction is controlled by a rapid dissolution of coffee from the surface of the grain, in conjunction with a slower diffusion of coffee through the intragranular pore network to the grain surface. Extraction of coffee from the bed also depends on the speed of advection of coffee from the bed. We utilize the small parameter resulting from the ratio of the advection timescale to the grain diffusion timescale to construct asymptotic solutions using the method of matched asymptotic expansions. The asymptotic solutions are compared to numerical solutions and data from coffee extraction experiments. The asymptotic solutions depend on a small number of dimensionless parameters and so are useful to quickly fit extraction curves and investigate the influence of various process parameters on the extraction.

Original languageEnglish
Pages (from-to)2196-2217
Number of pages22
JournalSIAM Journal on Applied Mathematics
Volume76
Issue number6
DOIs
Publication statusPublished - 15 Nov 2016
Externally publishedYes

    Fingerprint

Cite this