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...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Learning Object |
Language: | English |
Published: |
Universiti Malaysia Perlis
2008
|
Subjects: | |
Online Access: | http://dspace.unimap.edu.my/xmlui/handle/123456789/2402 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.unimap-2402 |
---|---|
record_format |
dspace |
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 |