Parallelization of nozzle flow model in spray-détente instantanée contrôlée technique on parallel virtual machine

instant controlled pressure drop or détente instantanée contrôlée (dic) in spray drier has become a new innovative combination processes for powder production that has a potential to overcome the spray drier limitation in terms of high energy consumption and microbiology contamination. this is done...

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Main Author:	Suhari, Nadia Nofri Yeni
Format:	Thesis
Published:	2017
Subjects:	QA Mathematics
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id	my-utm-ep.81553
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spelling	my-utm-ep.815532019-09-10T01:40:44Z Parallelization of nozzle flow model in spray-détente instantanée contrôlée technique on parallel virtual machine 2017 Suhari, Nadia Nofri Yeni QA Mathematics instant controlled pressure drop or détente instantanée contrôlée (dic) in spray drier has become a new innovative combination processes for powder production that has a potential to overcome the spray drier limitation in terms of high energy consumption and microbiology contamination. this is done by inducing the abrupt pressure dropping in a short time period and predicting the time duration of the thermal treatment at the high temperature in drying processes. due to the presence of spray atomizer in spray-dic technique, the integrated of mass and energy equations in the nozzle flow model is modified by adding the pressure changing parameter in one and two dimensional hyperbolic type of partial differential equation (pde). the parallel algorithms are developed from discretization of finite difference methods (fdm) and dealing with implicit and crank-nicolson schemes with the sequential algorithm as a benchmark. the development of a linear system equation from fdm is solved by alternating group explicit (age) compared with red black gauss seidel (rbgs) and jacobi (jb) as a benchmark methods. the iterative methods are dealt with large sparse matrix size using domain decomposition in grid generation by dividing into the sub-domains and communicate between cpus using single instruction multiple data (simd) in parallel virtual machine (pvm) with c language on linux fedora 21 for intel core-i3. the comparison of numerical analysis and the parallel performance evaluation are conducted for analysis and comparison purpose. the visualization of the multidimensional models, comparison tables and graphs are presented. in conclusion, the nozzle flow model has been validated since the visualization has the same behaviour with the statistical models. therefore, the parallelization of spray-dic model in a large sparse linear system of fdm provide the best performances and has potential to predict the mass of moisture and energy in temperature behaviour during powder drying process compared to the sequential algorithm computation. 2017 Thesis http://eprints.utm.my/id/eprint/81553/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:124848 masters Universiti Teknologi Malaysia Mathematics
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	QA Mathematics
spellingShingle	QA Mathematics Suhari, Nadia Nofri Yeni Parallelization of nozzle flow model in spray-détente instantanée contrôlée technique on parallel virtual machine
description	instant controlled pressure drop or détente instantanée contrôlée (dic) in spray drier has become a new innovative combination processes for powder production that has a potential to overcome the spray drier limitation in terms of high energy consumption and microbiology contamination. this is done by inducing the abrupt pressure dropping in a short time period and predicting the time duration of the thermal treatment at the high temperature in drying processes. due to the presence of spray atomizer in spray-dic technique, the integrated of mass and energy equations in the nozzle flow model is modified by adding the pressure changing parameter in one and two dimensional hyperbolic type of partial differential equation (pde). the parallel algorithms are developed from discretization of finite difference methods (fdm) and dealing with implicit and crank-nicolson schemes with the sequential algorithm as a benchmark. the development of a linear system equation from fdm is solved by alternating group explicit (age) compared with red black gauss seidel (rbgs) and jacobi (jb) as a benchmark methods. the iterative methods are dealt with large sparse matrix size using domain decomposition in grid generation by dividing into the sub-domains and communicate between cpus using single instruction multiple data (simd) in parallel virtual machine (pvm) with c language on linux fedora 21 for intel core-i3. the comparison of numerical analysis and the parallel performance evaluation are conducted for analysis and comparison purpose. the visualization of the multidimensional models, comparison tables and graphs are presented. in conclusion, the nozzle flow model has been validated since the visualization has the same behaviour with the statistical models. therefore, the parallelization of spray-dic model in a large sparse linear system of fdm provide the best performances and has potential to predict the mass of moisture and energy in temperature behaviour during powder drying process compared to the sequential algorithm computation.
format	Thesis
qualification_level	Master's degree
author	Suhari, Nadia Nofri Yeni
author_facet	Suhari, Nadia Nofri Yeni
author_sort	Suhari, Nadia Nofri Yeni
title	Parallelization of nozzle flow model in spray-détente instantanée contrôlée technique on parallel virtual machine
title_short	Parallelization of nozzle flow model in spray-détente instantanée contrôlée technique on parallel virtual machine
title_full	Parallelization of nozzle flow model in spray-détente instantanée contrôlée technique on parallel virtual machine
title_fullStr	Parallelization of nozzle flow model in spray-détente instantanée contrôlée technique on parallel virtual machine
title_full_unstemmed	Parallelization of nozzle flow model in spray-détente instantanée contrôlée technique on parallel virtual machine
title_sort	parallelization of nozzle flow model in spray-détente instantanée contrôlée technique on parallel virtual machine
granting_institution	Universiti Teknologi Malaysia
granting_department	Mathematics
publishDate	2017
_version_	1747818356630618112

Parallelization of nozzle flow model in spray-détente instantanée contrôlée technique on parallel virtual machine

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