Abstract

HERNANDEZ-BARAJAS, FREDDY; CANO-URREGO, BRAHIAN  and  CAICEDO-CHAMORRO, EDWIN ALEXANDER. GAMLSS models to analyze the drying degree of calcium dihydrate. Rev.EIA.Esc.Ing.Antioq [online]. 2021, vol.18, n.35, pp.187-199.  Epub Nov 04, 2021. ISSN 1794-1237.  https://doi.org/10.24050/reia.v18i35.1439.

Transporting and drying materials are two common activities in different production processes, and the conveyor screws are used to carry out these two activities simultaneously. The operating conditions of a conveyor screw are important because they directly influence final characteristics such as the degree of drying of the product and the thermal efficiency of the process. In this article, GAMLSS models were used to study the influence of three operational variables, screw rotational speed, temperature and feed flow, on the degree of drying of calcium acetate dihydrate when transported and dried in a screw. In this article it was found that the beta regression model allows to explain the degree of drying better than other regression models such as normal, exponential, gamma, Weibull and logit-normal. Additionally, it was found that the operation of the screw at a temperature of 45°C, a rotational speed of 3 rpm and a flow rate of 6 L/min allow to obtain the maximum degree of drying 35,46%.

Keywords : fregression model; GAMLSS; beta distribution; screw conveyor dryer.

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