SIMULATION OF COFFEE DRYING USING COMPUTATIONAL FLUID DYNAMICS
Author(s) -
Rudney Amaral,
Ednilton Tavares de Andrade,
Francisco Carlos Gomes,
Flávio Meira Borém,
Isabella Àvila Lemos,
Camila Almeida Dias
Publication year - 2018
Publication title -
coffee science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.268
H-Index - 15
eISSN - 1984-3909
pISSN - 1809-6875
DOI - 10.25186/cs.v13i4.1489
Subject(s) - water content , context (archaeology) , coffee bean , mathematics , moisture , relative humidity , thermal diffusivity , physics , chemistry , thermodynamics , food science , meteorology , paleontology , geotechnical engineering , engineering , biology
Drying is a fundamental step in post-harvest handling of coffee because moisture content at the end of drying affects several important aspects, such as sensory quality, storability, and color. Within this context, the aim of this study is to determine water distribution within the natural coffee fruit during and at the end of the drying process. For that purpose, simulations were made through finite elements using computational fluid dynamics. Experimental data on moisture content of coffee fruitin the “cherry” stage were collected during drying, which was carried out at a temperature of 40°C and relative humidity of 25% to 0.18 decimal(dry basis – d.b.)to compare the results of the experiment with the results of the simulations. Ten mathematical models of the drying process were developed for the collected data. The two-term exponential model best fit the data. The results of the simulations in computational fluid dynamics were compared to the results from experimental drying, and a satisfactory fit was obtained. The effective diffusivity coefficient (D eff ) was developed for the model, obtaining the value of 2.87 x 10 ‑11 m 2 s -1 . At the end of drying, the model exhibited 57.1% of the projection area of the coffee fruit with moisture content below 0.18 decimal (d.b.). Thus, the model can be used for other applications.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom