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ESTIMATION OF PARAMETERS FOR MOISTURE TRANSPORT IN FOODS 1
Author(s) -
BAKSHI A. S.,
CHHINNAN M. S.
Publication year - 1984
Publication title -
journal of food process engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.507
H-Index - 45
eISSN - 1745-4530
pISSN - 0145-8876
DOI - 10.1111/j.1745-4530.1984.tb00643.x
Subject(s) - nonlinear system , process (computing) , least squares function approximation , set (abstract data type) , mathematics , nonlinear regression , finite element method , mathematical optimization , estimation theory , non linear least squares , mathematical model , explained sum of squares , computer science , algorithm , statistics , regression analysis , thermodynamics , physics , quantum mechanics , estimator , programming language , operating system
The problem of estimation of transport parameters in food processing models is examined. A procedure is presented which consists of controlled experiments, application of theory to model the process and estimation of parameters by comparing the experimental and predicted data by the use of nonlinear optimization technique. The optimization program estimates a set of parameters in a food processing model which gives a minimum value of the sum of squares of the deviation between the observed and estimated values. The processes considered are drying, soaking and parboiiing of rice and peanut drying. Depending on the complexity of the process, the solution of the mathematical model is given in the form of analytical, finite difference or finite element approximations. The precision of transport parameters determination is also discussed.