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ZENODO
Article . 2012
License: CC BY
Data sources: Datacite
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ZENODO
Article . 2012
License: CC BY
Data sources: ZENODO
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ZENODO
Article . 2012
License: CC BY
Data sources: Datacite
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Cryogenic Freezing Process Optimization Based On Desirability Function On The Path Of Steepest Ascent

descriptionPublicationkeyboard_double_arrow_right Article 23 Dec 2012 English Publisher:Zenodo
Authors: R. Uporn; P. Luangpaiboon;

doi: 10.5281/zenodo.1329763 , 10.5281/zenodo.1329762

Cryogenic Freezing Process Optimization Based On Desirability Function On The Path Of Steepest Ascent

Abstract

This paper presents a comparative study of statistical methods for the multi-response surface optimization of a cryogenic freezing process. Taguchi design and analysis and steepest ascent methods based on the desirability function were conducted to ascertain the influential factors of a cryogenic freezing process and their optimal levels. The more preferable levels of the set point, exhaust fan speed, retention time and flow direction are set at -90oC, 20 Hz, 18 minutes and Counter Current, respectively. The overall desirability level is 0.7044.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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