A Numerical Approach to Solve Volume-Based Batch Crystallization Model with Fines Dissolution Unit

In this article, a numerical study of a one-dimensional, volume-based batch crystallization model (PBM) is presented that is used in numerous industries and chemical engineering sciences. A numerical approximation of the underlying model is discussed by using an alternative Quadrature Method of Mome...

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Main Authors: Safyan Mukhtar, Muhammad Sohaib, Ishfaq Ahmad
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Processes
Subjects:
Online Access:https://www.mdpi.com/2227-9717/7/7/453
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spelling doaj-4316faa1ec684541a778be45daa981db2020-11-25T01:12:51ZengMDPI AGProcesses2227-97172019-07-017745310.3390/pr7070453pr7070453A Numerical Approach to Solve Volume-Based Batch Crystallization Model with Fines Dissolution UnitSafyan Mukhtar0Muhammad Sohaib1Ishfaq Ahmad2Department of Basic Sciences, Deanship of Preparatory Year, King Faisal University, 31982 Hofuf, Al Ahsa, Saudi ArabiaDepartment of Mathematics & Statistics, Bacha Khan University, 24461 Palosa, Charsadda Khyber Pakhtunkhwa, PakistanDepartment of Mathematics & Statistics, Bacha Khan University, 24461 Palosa, Charsadda Khyber Pakhtunkhwa, PakistanIn this article, a numerical study of a one-dimensional, volume-based batch crystallization model (PBM) is presented that is used in numerous industries and chemical engineering sciences. A numerical approximation of the underlying model is discussed by using an alternative Quadrature Method of Moments (QMOM). Fines dissolution term is also incorporated in the governing equation for improvement of product quality and removal of undesirable particles. The moment-generating function is introduced in order to apply the QMOM. To find the quadrature abscissas, an orthogonal polynomial of degree three is derived. To verify the efficiency and accuracy of the proposed technique, two test problems are discussed. The numerical results obtained by the proposed scheme are plotted versus the analytical solutions. Thus, these findings line up well with the analytical findings.https://www.mdpi.com/2227-9717/7/7/453volume-based population balance model with fines dissolutionquadrature method of momentsorthogonal polynomials
collection DOAJ
language English
format Article
sources DOAJ
author Safyan Mukhtar
Muhammad Sohaib
Ishfaq Ahmad
spellingShingle Safyan Mukhtar
Muhammad Sohaib
Ishfaq Ahmad
A Numerical Approach to Solve Volume-Based Batch Crystallization Model with Fines Dissolution Unit
Processes
volume-based population balance model with fines dissolution
quadrature method of moments
orthogonal polynomials
author_facet Safyan Mukhtar
Muhammad Sohaib
Ishfaq Ahmad
author_sort Safyan Mukhtar
title A Numerical Approach to Solve Volume-Based Batch Crystallization Model with Fines Dissolution Unit
title_short A Numerical Approach to Solve Volume-Based Batch Crystallization Model with Fines Dissolution Unit
title_full A Numerical Approach to Solve Volume-Based Batch Crystallization Model with Fines Dissolution Unit
title_fullStr A Numerical Approach to Solve Volume-Based Batch Crystallization Model with Fines Dissolution Unit
title_full_unstemmed A Numerical Approach to Solve Volume-Based Batch Crystallization Model with Fines Dissolution Unit
title_sort numerical approach to solve volume-based batch crystallization model with fines dissolution unit
publisher MDPI AG
series Processes
issn 2227-9717
publishDate 2019-07-01
description In this article, a numerical study of a one-dimensional, volume-based batch crystallization model (PBM) is presented that is used in numerous industries and chemical engineering sciences. A numerical approximation of the underlying model is discussed by using an alternative Quadrature Method of Moments (QMOM). Fines dissolution term is also incorporated in the governing equation for improvement of product quality and removal of undesirable particles. The moment-generating function is introduced in order to apply the QMOM. To find the quadrature abscissas, an orthogonal polynomial of degree three is derived. To verify the efficiency and accuracy of the proposed technique, two test problems are discussed. The numerical results obtained by the proposed scheme are plotted versus the analytical solutions. Thus, these findings line up well with the analytical findings.
topic volume-based population balance model with fines dissolution
quadrature method of moments
orthogonal polynomials
url https://www.mdpi.com/2227-9717/7/7/453
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