Numerical simulation of DIC drying process on matlab distributed computing server

Instant controlled pressure drop, also known as DIC, is one of the drying techniques that has been used for texturing, extracting and drying various food products. Mathematical model has been used to explain the drying process, although most of the studies focused on the statistical regression model...

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Main Authors: Saipan Saipol, Hafizah Farhah (Author), Alias, Norma (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2020-10-01.
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001 ijeecs22461_14219
042 |a dc 
100 1 0 |a Saipan Saipol, Hafizah Farhah  |e author 
100 1 0 |e contributor 
700 1 0 |a Alias, Norma  |e author 
245 0 0 |a Numerical simulation of DIC drying process on matlab distributed computing server 
260 |b Institute of Advanced Engineering and Science,   |c 2020-10-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/22461 
520 |a Instant controlled pressure drop, also known as DIC, is one of the drying techniques that has been used for texturing, extracting and drying various food products. Mathematical model has been used to explain the drying process, although most of the studies focused on the statistical regression model approach. Due to the limitations of regression model, which neglects the fundamental of dehydration process, this paper presents the development of mathematical models to detect, solve and visualize the three-dimensional (3D) heat and mass transfer in DIC drying process. Finite difference method (FDM) with central difference formula is used to discretize the mathematical models. A large sparse of system of linear equation (SLE), which represents the actual drying process, is solved by using some numerical methods, such as jacobi (JB), red black gauss seidel (RBGS), alternating group explicit with douglas (AGED) and brian (AGEB) methods. Based on the numerical results, high execution time and high computational complexity have been shown. In order to reduce the execution time and computational complexity, the parallel algorithm based on domain decomposition technique has been implemented on the MATLAB distributed computing server (MDCS). The parallel algorithm of the numerical methods was evaluated and compared based on the parallel performance metrics: execution time, speed up, efficiency, effectiveness, temporal performance and granularity. From the parallel performance metrics, it was found that the PAGEB approach had better performance, followed by PAGED, PRBGS and PJB methods. 
540 |a Copyright (c) 2020 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690
690 |a Domain decomposition technique; Drying process; Matlab distributed computing server; Parallel algorithm; Sequential algorithm 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 20, No 1: October 2020; 338-346 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v20.i1 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/22461/14219 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/22461/14219  |z Get fulltext