Development of an empirical model of human sweating and a semi-empirical model of human thermoregulation

dc.contributor.advisor Derrick K. Rollins
dc.contributor.author Walker, Jennifer
dc.contributor.department Chemical and Biological Engineering
dc.date 2018-08-23T18:40:35.000
dc.date.accessioned 2020-06-30T07:18:56Z
dc.date.available 2020-06-30T07:18:56Z
dc.date.copyright Fri Jan 01 00:00:00 UTC 1999
dc.date.issued 1999
dc.description.abstract <p>The physiology of the human thermoregulatory response to changes in environment and work load has been studied from the perspective of both the physiologist and the engineer. Both fields have brought certain skills and tools to the effort. An effort to bring together the understanding gained from these two perspectives has been lacking. In this work a model for the sweat response and a model for the thermoregulatory response to changes in room temperature were developed. These models were developed using the modeling tools of engineering and the knowledge contained in past experimental data;An empirical model of the sweat response in humans was created from six previously published sets of experimental data. The model was developed using Partial Least Squares (PLS). PLS made it possible to combined data from mulitiple, uncorrelated experiments, there by extracting information from all of the experiments into one model. Previous experiments were limited by small sample sets. Creating a single model from several experiments extended the input space covered in model without the need for expensive experimental work. The previous techniques used to develop the previous models were not able to investigate the multivariate nature of the sweat response. PLS reduced the dimensionality of the problem while keeping the ability to determine the importance of each of the individual physical parameters as well as their interactions;A model of the human body's regulation of skin temperature for changes in room temperature was developed using the Semi Empirical Technique (SET). Previous models of the thermoregulatory system had either been developed using the fundamental principles of heat transfer or were empirical in nature. The theoretical models were limited in there ability to completely describe the complicated system and all its interactions. The empirical models were limited by the amount of data they were developed from. The SET technique brought together the advantages of the theoretical and empirical models. By balancing the understanding gained from theory with the inherent information gained from data the SET model does not suffer the limitations of either of the previous techniques.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/rtd/12180/
dc.identifier.articleid 13179
dc.identifier.contextkey 6766923
dc.identifier.doi https://doi.org/10.31274/rtd-180813-13457
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath rtd/12180
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/65520
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/rtd/12180/r_9940252.pdf|||Fri Jan 14 19:14:43 UTC 2022
dc.subject.disciplines Animal Sciences
dc.subject.disciplines Applied Mechanics
dc.subject.disciplines Chemical Engineering
dc.subject.disciplines Physiology
dc.subject.disciplines Statistics and Probability
dc.subject.disciplines Veterinary Physiology
dc.subject.keywords Chemical engineering
dc.title Development of an empirical model of human sweating and a semi-empirical model of human thermoregulation
dc.type article
dc.type.genre dissertation
dspace.entity.type Publication
relation.isOrgUnitOfPublication 86545861-382c-4c15-8c52-eb8e9afe6b75
thesis.degree.level dissertation
thesis.degree.name Doctor of Philosophy
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