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

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Walker, Jennifer
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Derrick K. Rollins
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Chemical and Biological Engineering

The function of the Department of Chemical and Biological Engineering has been to prepare students for the study and application of chemistry in industry. This focus has included preparation for employment in various industries as well as the development, design, and operation of equipment and processes within industry.Through the CBE Department, Iowa State University is nationally recognized for its initiatives in bioinformatics, biomaterials, bioproducts, metabolic/tissue engineering, multiphase computational fluid dynamics, advanced polymeric materials and nanostructured materials.

The Department of Chemical Engineering was founded in 1913 under the Department of Physics and Illuminating Engineering. From 1915 to 1931 it was jointly administered by the Divisions of Industrial Science and Engineering, and from 1931 onward it has been under the Division/College of Engineering. In 1928 it merged with Mining Engineering, and from 1973–1979 it merged with Nuclear Engineering. It became Chemical and Biological Engineering in 2005.

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1913 - present

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  • Department of Chemical Engineering (1913–1928)
  • Department of Chemical and Mining Engineering (1928–1957)
  • Department of Chemical Engineering (1957–1973, 1979–2005)
    • Department of Chemical and Biological Engineering (2005–present)

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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.

Fri Jan 01 00:00:00 UTC 1999