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Application of the Box-Behnken model design to the optimization of process parameters in the convection-drying of Channa Striata fish

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dc.title Application of the Box-Behnken model design to the optimization of process parameters in the convection-drying of Channa Striata fish en
dc.contributor.author Ngo, Vo Thien Nhan
dc.contributor.author Phan, Thi Thanh Dieu
dc.contributor.author Beltrán-Prieto, Juan Carlos
dc.contributor.author Nguyen, Huynh Bach Son Long
dc.relation.ispartof Lecture Notes in Electrical Engineering
dc.identifier.issn 1876-1100 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-331969813-7
dc.date.issued 2018
utb.relation.volume 465
dc.citation.spage 83
dc.citation.epage 92
dc.event.title 7 December 2017 through 9 December 2017
dc.event.location Ho Chi Minh City
utb.event.state-en Vietnam
utb.event.state-cs Vietnam
dc.event.sdate 2017-12-07
dc.event.edate 2017-12-09
dc.type conferenceObject
dc.language.iso en
dc.publisher 4th International Conference on Advanced Engineering Theory and Applications, AETA 2017
dc.identifier.doi 10.1007/978-3-319-69814-4_8
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-69814-4_8
dc.subject Box-Behnken model en
dc.subject Channa striata fish en
dc.subject Convection-drying en
dc.subject Optimization en
dc.description.abstract This study was aimed to identify the optimum parameters of the convention-drying Channa Striata fish using the Box-Behnken response surface methodology. The optimal experiments were designed with three factors including: density of loading Channa Striata fish, drying time and air speed. The results showed that drying temperature of 50, °C, air speed of 0.25, m/s, fish density of 6 pieces/tray (60, ×, 80, cm) and drying time of 196.82, min were determined to be the optimum parameters. Experiments were also made to verify the optimal conditions and evaluate the authenticity of the design model of drying fish. © Springer International Publishing AG 2018. en
utb.faculty Faculty of Technology
dc.identifier.uri http://hdl.handle.net/10563/1007629
utb.identifier.obdid 43878663
utb.identifier.scopus 2-s2.0-85034588074
utb.source d-scopus
dc.date.accessioned 2018-01-15T16:31:34Z
dc.date.available 2018-01-15T16:31:34Z
dc.description.sponsorship Acknowledgements. This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme project No. LO1303 (MSMT-7778/2014) and the European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089 and also by Lac Hong University in Vietnam.
utb.contributor.internalauthor Beltrán-Prieto, Juan Carlos
utb.contributor.internalauthor Nguyen, Huynh Bach Son Long
utb.fulltext.affiliation Vo Thien Nhan Ngo 1, Thi Thanh Dieu Phan 2, J.C. Beltrán-Prieto 3, Huynh Bach Son Long Nguyen 1,3,4 1 Chemical Association in Dong Nai Province, Ho Chi Minh City, Vietnam nguyenhuynhbslong@yahoo.com 2 Ho Chi Minh City University of Food Industry, Ho Chi Minh City, Vietnam 3 Tomas Bata University in Zlín, Zlín, Czech Republic 4 Lac Hong University, Biên Hòa, Dong Nai Province, Vietnam nguyenhuynhbslong@lhu.edu.vn
utb.fulltext.dates -
utb.scopus.affiliation Chemical Association in Dong Nai Province, Ho Chi Minh City, Viet Nam; Ho Chi Minh City University of Food Industry, Ho Chi Minh City, Viet Nam; Tomas Bata University in Zlín, Zlín, Czech Republic; Lac Hong University, Biên Hòa, Dong Nai Province, Viet Nam
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