Experimental design of Crystallization processes using classical method

Crystallization has become one of the most important unit operations in the sugar cane processing. The need to reduce the time from product discovery to market introduction is an inherent concern. In order to achieve the prescribed product quality characteristics, the process of engineering experime...

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Main Author: Norsyazwani Samsudin
Other Authors: Zuraidah Mohd Zain, P.M. Dr. (Advisor)
Format: Learning Object
Language:English
Published: Universiti Malaysia Perlis 2008
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Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/2402
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spelling my.unimap-24022008-10-29T06:35:39Z Experimental design of Crystallization processes using classical method Norsyazwani Samsudin Zuraidah Mohd Zain, P.M. Dr. (Advisor) Crystallization Sugarcane Crystallization process Sugar growing Sugar -- Manufacture and refining Sugarcane industry Chemical process control Crystallization has become one of the most important unit operations in the sugar cane processing. The need to reduce the time from product discovery to market introduction is an inherent concern. In order to achieve the prescribed product quality characteristics, the process of engineering experimentation has to be optimized. Therefore, an experimental design method for crystallization processes is presented in this paper. The usage of Classical approach Design of Experiments from the designing steps until the analyzing phase from the experiment was used. The data obtained from the experiments were analyzed using version 7 of Design-Expert software. In this study, Design of Experiment 23 layout used is used and the parameters determined were the seed volume (c.c.), seeding time (sec.) and seeding Brix (ºBrix). These parameters used to analyze the setting required for optimizing the process variables in crystallization to gain the best combination. The responses measured were the Mean Aperture (MA) and Coefficient Variance (CV). The best run for both responses was done by using the setting of 400 c.c.(seed volume), 3 seconds (seeding time) and 79°Brix (seeding Brix). The estimated optimum value for MA was 1.03 mm while for CV was 31. The yield produced was 23.14 tonnes and the profits gain by the company was about RM 34,710. 2008-10-14T03:37:45Z 2008-10-14T03:37:45Z 2008-05 Learning Object http://hdl.handle.net/123456789/2402 en Universiti Malaysia Perlis School of Manufacturing Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Crystallization
Sugarcane
Crystallization process
Sugar growing
Sugar -- Manufacture and refining
Sugarcane industry
Chemical process control
spellingShingle Crystallization
Sugarcane
Crystallization process
Sugar growing
Sugar -- Manufacture and refining
Sugarcane industry
Chemical process control
Norsyazwani Samsudin
Experimental design of Crystallization processes using classical method
description Crystallization has become one of the most important unit operations in the sugar cane processing. The need to reduce the time from product discovery to market introduction is an inherent concern. In order to achieve the prescribed product quality characteristics, the process of engineering experimentation has to be optimized. Therefore, an experimental design method for crystallization processes is presented in this paper. The usage of Classical approach Design of Experiments from the designing steps until the analyzing phase from the experiment was used. The data obtained from the experiments were analyzed using version 7 of Design-Expert software. In this study, Design of Experiment 23 layout used is used and the parameters determined were the seed volume (c.c.), seeding time (sec.) and seeding Brix (ºBrix). These parameters used to analyze the setting required for optimizing the process variables in crystallization to gain the best combination. The responses measured were the Mean Aperture (MA) and Coefficient Variance (CV). The best run for both responses was done by using the setting of 400 c.c.(seed volume), 3 seconds (seeding time) and 79°Brix (seeding Brix). The estimated optimum value for MA was 1.03 mm while for CV was 31. The yield produced was 23.14 tonnes and the profits gain by the company was about RM 34,710.
author2 Zuraidah Mohd Zain, P.M. Dr. (Advisor)
author_facet Zuraidah Mohd Zain, P.M. Dr. (Advisor)
Norsyazwani Samsudin
format Learning Object
author Norsyazwani Samsudin
author_sort Norsyazwani Samsudin
title Experimental design of Crystallization processes using classical method
title_short Experimental design of Crystallization processes using classical method
title_full Experimental design of Crystallization processes using classical method
title_fullStr Experimental design of Crystallization processes using classical method
title_full_unstemmed Experimental design of Crystallization processes using classical method
title_sort experimental design of crystallization processes using classical method
publisher Universiti Malaysia Perlis
publishDate 2008
url http://dspace.unimap.edu.my/xmlui/handle/123456789/2402
_version_ 1643787604251901952
score 13.214268