Title:	Numerical simulation of the temperature distribution of coffee stored in cooled and natural environments.
Authors:	ANDRADE, E. T. de REZENDE, R. P. BORÉM, F. M. ROSA, S. D. V. F. da OLIVEIRA, F. da S. de RIOS, P. A.
Affiliation:	EDNILTON TAVARES DE ANDRADE, UNIVERSIDADE FEDERAL DE LAVRAS; RENAN PEREIRA REZENDE, UNIVERSIDADE FEDERAL DE LAVRAS; FLÁVIO MEIRA BORÉM, UNIVERSIDADE FEDERAL DE LAVRAS; STTELA DELLYZETE VEIGA F DA ROSA, CNPCa; FILIPE DA SILVA DE OLIVEIRA, UNIVERSIDADE FEDERAL DE LAVRAS; PAULA ALMEIDA RIOS, UNIVERSIDADE FEDERAL DE LAVRAS.
Date Issued:	2023
Citation:	Ciência e Natura, v. 45, e12, 2023.
Pages:	28 p.
Description:	The storage of agricultural products is of great importance in maintaining product quality between harvest and commercialization. The use of numerical and computational techniques, such as the finite element method (FEM) and computational fluid dynamics (CFD), allows the analysis and simulation of systems that involve heat transfer, as is the case of grain storage. A computational model based on these techniques that satisfactorily represents a real system was used to test and to analyze decision alternatives without the need for real experimentation. In this study, we sought to study the behavior of the temperature of a mass of stored mocha coffee beans by using computational techniques, as requested by the private sector. The coffee was stored for 6 months in two types of environments: a cooled environment between 15 and 18 °C by using an air temperature control equipment used for artificial cooling and a natural environment. A computational model was developed to simulate the heat transfer process for both types of storage. In the comparison of the temperature distribution during storage from simulation results and for experimental results, an overall mean relative error of 2.34% was obtained for coffee stored in a natural environment, and that of 5.74% was obtained for coffee stored in a cooled environment.
NAL Thesaurus:	Drying temperature Temperature Stored grain Coffee beans Cold storage
DOI:	https://doi.org/10.5902/2179460X74111
Type of Material:	Artigo de periódico
Access:	openAccess
Appears in Collections:	Artigo em periódico indexado (SAPC)