JOURNAL of the JAPANESE SOCIETY of AGRICULTURAL MACHINERY
Online ISSN : 1884-6025
Print ISSN : 0285-2543
ISSN-L : 0285-2543
Simple Method to Calculate the Parameters of Sphere Drying Model
Yoshio NISHIYAMA
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1975 Volume 37 Issue 1 Pages 34-40

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Abstract

In the exponential model proposed by Henderson (eq. (1)), the parameter Me is simply obtained from eq. (5). There existed no such method for Sphere Drying Model (eq. (2)). The author proposed a simple method to calculate the parameters Me and K of the sphere drying model, defining a function φ1/n(X) expressed in eq. (6).
The calculation procedure is as follows:
(1) Choose the time t1 and t2, where t2=nt1, and measure the moisture content M1 and M2 at time t1 and t2 respectively.
(2) Calculate the value φ*=M0-M2/M0-M1
(3) Find the value X which satisfies φ1/n(X)=φ* from the φ1/n(X) and Φ(X) table, a part of which is shown in Tab. 1.
(4) Find the value of Φ(X) for the X determined above.
(5) The value of parameter K is given by K=X/t2
(6) Me is given by Me=M2-M0Φ(X)/1-Φ(X).
This method was applied to the experimental data of grain drying and showed a remarkable stability with calculated parameters, especially for drying data of beans.
The author also computed ξ and μ the relative and normalized deviations of calculated values of K and Me from “true” values, if the measured moisture contents M1 and M2 deviated from “true” values described with ε1 and ε2 in eq. (14), where “true” means “of the model with the most suitable parameters for the experimental data determined by e. g. least square method”. As an example, ξ and μ values with ε1=±0.01, ε2=-ε1, are shown in Fig. 3 and Fig. 4.
The partial derivatives of ξ and μ with respect to ε1 and ε2 at ε12=0, which represent the contribution of ε1 and ε2 to ξ and μ, are shown in Fig. 5 and Fig. 6. Considering the results of Fig. 3-Fig. 6, the following points must be noticed if the deviations ξ and μ are to be small.
i) Both ξ and μ become smaller with greater n.
ii) ξ has a minimum within the non-dimensional time X=3-6, while μ is expected to decrease as X increases.

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