Empirical modeling and control for spray drying of orange juice powder

Spray drying is a removal of moisture from liquid feed by breaking into droplets in a hot medium to convert into powder form. In order to ensure the product quality is at the desired specification, a good control system and good understanding on the dynamic behavior should be considered. The aims of...

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Main Authors: Tan, Lee Woun, Taip, Farah Saleena, Ibrahim, Mohd Nordin, Raja Ahmad, Raja Mohd Kamil
Format: Conference or Workshop Item
Language:English
Published: IEEE 2011
Online Access:http://psasir.upm.edu.my/id/eprint/68778/1/Empirical%20modeling%20and%20control%20for%20spray%20drying%20of%20orange%20juice%20powder.pdf
http://psasir.upm.edu.my/id/eprint/68778/
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Institution: Universiti Putra Malaysia
Language: English
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spelling my.upm.eprints.687782019-06-10T03:34:14Z http://psasir.upm.edu.my/id/eprint/68778/ Empirical modeling and control for spray drying of orange juice powder Tan, Lee Woun Taip, Farah Saleena Ibrahim, Mohd Nordin Raja Ahmad, Raja Mohd Kamil Spray drying is a removal of moisture from liquid feed by breaking into droplets in a hot medium to convert into powder form. In order to ensure the product quality is at the desired specification, a good control system and good understanding on the dynamic behavior should be considered. The aims of this study are to develop empirical model of spray drying process and improve the process by implementation of PI controller. A nozzle atomizer spray dryer, Lab-Plant SD 05 Laboratory Scale Spray Dryer was used. The liquid feed was Sunquick Concentrated Orange Juice and DE 10-15 maltodextrin as the drying agent. The effects of inlet air temperature and maltodextrin concentration on final moisture content and outlet air temperature were investigated. From investigation, the effect of inlet air temperature on moisture content and outlet air temperature was greater than maltodextrin concentration. Thus, inlet air temperature was selected as manipulated variable. For modeling, the model obtained can be represented as first order process with time delay (FOPTD). In order to improve the process, the model obtained was used in simulation studies to determine the suitable tuning method by PI controller. The PI controllers were tuned by direct synthesis, min IAE method and Cohen-coon. From the observation, direct synthesis method is the most suitable tuning method for PI controller in spray drying process. IEEE 2011 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/68778/1/Empirical%20modeling%20and%20control%20for%20spray%20drying%20of%20orange%20juice%20powder.pdf Tan, Lee Woun and Taip, Farah Saleena and Ibrahim, Mohd Nordin and Raja Ahmad, Raja Mohd Kamil (2011) Empirical modeling and control for spray drying of orange juice powder. In: 4th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO 2011), 19-21 Apr. 2011, Kuala Lumpur, Malaysia. . 10.1109/ICMSAO.2011.5775537
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Spray drying is a removal of moisture from liquid feed by breaking into droplets in a hot medium to convert into powder form. In order to ensure the product quality is at the desired specification, a good control system and good understanding on the dynamic behavior should be considered. The aims of this study are to develop empirical model of spray drying process and improve the process by implementation of PI controller. A nozzle atomizer spray dryer, Lab-Plant SD 05 Laboratory Scale Spray Dryer was used. The liquid feed was Sunquick Concentrated Orange Juice and DE 10-15 maltodextrin as the drying agent. The effects of inlet air temperature and maltodextrin concentration on final moisture content and outlet air temperature were investigated. From investigation, the effect of inlet air temperature on moisture content and outlet air temperature was greater than maltodextrin concentration. Thus, inlet air temperature was selected as manipulated variable. For modeling, the model obtained can be represented as first order process with time delay (FOPTD). In order to improve the process, the model obtained was used in simulation studies to determine the suitable tuning method by PI controller. The PI controllers were tuned by direct synthesis, min IAE method and Cohen-coon. From the observation, direct synthesis method is the most suitable tuning method for PI controller in spray drying process.
format Conference or Workshop Item
author Tan, Lee Woun
Taip, Farah Saleena
Ibrahim, Mohd Nordin
Raja Ahmad, Raja Mohd Kamil
spellingShingle Tan, Lee Woun
Taip, Farah Saleena
Ibrahim, Mohd Nordin
Raja Ahmad, Raja Mohd Kamil
Empirical modeling and control for spray drying of orange juice powder
author_facet Tan, Lee Woun
Taip, Farah Saleena
Ibrahim, Mohd Nordin
Raja Ahmad, Raja Mohd Kamil
author_sort Tan, Lee Woun
title Empirical modeling and control for spray drying of orange juice powder
title_short Empirical modeling and control for spray drying of orange juice powder
title_full Empirical modeling and control for spray drying of orange juice powder
title_fullStr Empirical modeling and control for spray drying of orange juice powder
title_full_unstemmed Empirical modeling and control for spray drying of orange juice powder
title_sort empirical modeling and control for spray drying of orange juice powder
publisher IEEE
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/68778/1/Empirical%20modeling%20and%20control%20for%20spray%20drying%20of%20orange%20juice%20powder.pdf
http://psasir.upm.edu.my/id/eprint/68778/
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