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This paper presents a new transient passenger thermal comfort model. The model uses as inputs the vehicle environmental variables: air temperature, air velocity, relative humidity and mean radiant temperature all of which can vary as a function of time and space. The model also uses as inputs the clothing level and the initial physiological state of the body. The model then predicts as a function of time the physiological state of the body and an effective human thermal sensation response (e.g. cold, comfort, hot, etc.). The advantage of this model is that it can accurately predict the human thermal sensation response during transient vehicle warm-up and cooldown conditions. It also allows design engineers the ability to conduct parametric studies of climate control systems before hardware is available. Here we present the basis of the new thermal comfort model and its predictions for transient warm-up and cooldown conditions.

This paper presents a novel low air flow rate measuring device. The device was designed to accurately, easily, and in a repeatable way measure the air flow rate through the in-cabin temperature sensor used in automatic climate control systems. The design of the device is briefly discussed and calibration data are presented. Finally, data from some bench-top tests and from in-vehicle measurements are presented.

Here we present an analytical model, written in general terms, which predicts the trajectory of a spherical particle/droplet placed in a uniform fluid stream. The model is compared to an experiment in which three millimeter diameter polypropolyene spheres (specific gravity = 0.91) are dropped in a uniform airstream (velocity varies from 0.9 to 3.8 m/s). Agreement between the two suggests the model incorporates all the important physics and thus should be useful as a design tool.

Here we present a latent heat storage device which is used to provide “quick/supplemental” heat to the vehicle's conventional heating system. First, we present data from actual in-vehicle cold weather tests. Data are presented for heater and defroster performance tests, emissions tests and cold start tests after extended soaks. Secondly, heater performance predictions are made using a computer simulation program. Finally, the actual heater performance results are compared with the computer simulation.