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Transcript
MECHANICAL ENGINEERING—ENGINEERING MECHANICS
Proudly Presents:
Dr. Mark Hepokoski
Director of Advanced Research—ThermoAnalytics
Dr. Hepokoski is the Director of Advanced Research at ThermoAnalytics. As a principal investigator of human thermal physiology and comfort projects, he has developed and validated a complex model of human thermo-physiology, which is widely used in industry and academia for predicting human thermal sensation/comfort, human effectiveness, and human IR signatures. Additionally, he has developed a control algorithm for sweating thermal manikins to accurately simulate
human physiological response in transient and asymmetric environments. He has also developed a
numerous fluid flow and heat transfer modeling algorithms, from high speed aerodynamic heat
transfer to vehicle cooling ram air flows. His previous experience includes software engineering
for Argos Systems, where he developed features for the Vertex BD architectural design software.
Dr. Hepokoski received his B.S. in Engineering Science and Mechanics, with a minor in Mathematics, from Virginia Tech. He also holds an M.S. degree in Mechanical Engineering and a Ph.D. in Mechanical Engineering-Engineering Mechanics from Michigan Technological University.
Thursday,December10,2015
4:00 pm — 103 EERC
Human Physiological Modeling Techniques for Predicting Thermal Comfort
Accurate assessment of thermal comfort requires comprehensive analysis of the environmental effects contributing to
the heat transfer to and from the human body. A common comfort evaluation approach is to find a direct correlation of
comfort to environmental conditions (e.g. air temperature, relative humidity, clothing), thus implicitly accounting for the
relationship between physiological response and thermal comfort. An alternate approach is to explicitly correlate comfort
to basic physiological response (e.g. skin and core temperature), thereby separating the thermal analysis portion of the
problem from the more subjective comfort analysis portion. This presentation will review state-of-the-art simulation techniques for predicting human thermophysiological response and how it relates to thermal comfort.