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Modeling and optimization of the hot compressed water extraction of palm oil using artificial neural network

Hot compressed water extraction (HCWE) is a promising green alternative to the screw press in the palm oil processing. In this study, the steady-state characteristic of the HCWE was modeled by using an artificial neural network (ANN). The overall oil yield and other outputs; β-carotene, α-tocopherol...

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主要な著者: Md. Sarip, M. S., Yamashita, Y., Morad, N. A., Che Yunus, M. A., Abdul Aziz, M. K.
フォーマット: 論文
出版事項: Society of Chemical Engineers, Japan 2016
主題:
T Technology (General)
オンライン･アクセス:http://eprints.utm.my/id/eprint/71726/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978645366&doi=10.1252%2fjcej.15we251&partnerID=40&md5=7d1c0e1b230a7b89fc174600d304b8a0
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id my.utm.71726
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spelling my.utm.717262017-11-22T12:07:36Z http://eprints.utm.my/id/eprint/71726/ Modeling and optimization of the hot compressed water extraction of palm oil using artificial neural network Md. Sarip, M. S. Yamashita, Y. Morad, N. A. Che Yunus, M. A. Abdul Aziz, M. K. T Technology (General) Hot compressed water extraction (HCWE) is a promising green alternative to the screw press in the palm oil processing. In this study, the steady-state characteristic of the HCWE was modeled by using an artificial neural network (ANN). The overall oil yield and other outputs; β-carotene, α-tocopherol and α-tocotrienol concentration, were described by the pressure and temperature in the HCWE. The results show that the predicted yield and concentrations agree well with experimental data. These models were used to estimate the optimum conditions of the HCWE process. Society of Chemical Engineers, Japan 2016 Article PeerReviewed Md. Sarip, M. S. and Yamashita, Y. and Morad, N. A. and Che Yunus, M. A. and Abdul Aziz, M. K. (2016) Modeling and optimization of the hot compressed water extraction of palm oil using artificial neural network. Journal of Chemical Engineering of Japan, 49 (7). pp. 614-621. ISSN 0021-9592 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978645366&doi=10.1252%2fjcej.15we251&partnerID=40&md5=7d1c0e1b230a7b89fc174600d304b8a0
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic T Technology (General)
spellingShingle T Technology (General)
Md. Sarip, M. S.
Yamashita, Y.
Morad, N. A.
Che Yunus, M. A.
Abdul Aziz, M. K.
Modeling and optimization of the hot compressed water extraction of palm oil using artificial neural network
description Hot compressed water extraction (HCWE) is a promising green alternative to the screw press in the palm oil processing. In this study, the steady-state characteristic of the HCWE was modeled by using an artificial neural network (ANN). The overall oil yield and other outputs; β-carotene, α-tocopherol and α-tocotrienol concentration, were described by the pressure and temperature in the HCWE. The results show that the predicted yield and concentrations agree well with experimental data. These models were used to estimate the optimum conditions of the HCWE process.
format Article
author Md. Sarip, M. S.
Yamashita, Y.
Morad, N. A.
Che Yunus, M. A.
Abdul Aziz, M. K.
author_facet Md. Sarip, M. S.
Yamashita, Y.
Morad, N. A.
Che Yunus, M. A.
Abdul Aziz, M. K.
author_sort Md. Sarip, M. S.
title Modeling and optimization of the hot compressed water extraction of palm oil using artificial neural network
title_short Modeling and optimization of the hot compressed water extraction of palm oil using artificial neural network
title_full Modeling and optimization of the hot compressed water extraction of palm oil using artificial neural network
title_fullStr Modeling and optimization of the hot compressed water extraction of palm oil using artificial neural network
title_full_unstemmed Modeling and optimization of the hot compressed water extraction of palm oil using artificial neural network
title_sort modeling and optimization of the hot compressed water extraction of palm oil using artificial neural network
publisher Society of Chemical Engineers, Japan
publishDate 2016
url http://eprints.utm.my/id/eprint/71726/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978645366&doi=10.1252%2fjcej.15we251&partnerID=40&md5=7d1c0e1b230a7b89fc174600d304b8a0
_version_ 1643656264059715584
score 13.250246

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