Literature DB >> 20664163

How to measure thermal effects of personal cooling systems: human, thermal manikin and human simulator study.

N Bogerd1, A Psikuta, H A M Daanen, R M Rossi.   

Abstract

Thermal effects, such as cooling power and thermophysiological responses initiated upon application of a personal cooling system, can be assessed with (i) humans, (ii) a thermal manikin and (iii) a thermophysiological human simulator. In order to compare these methods, a cooling shirt (mild cooling) and an ice vest (strong cooling) were measured using human participants and a thermal manikin. Under all conditions, cooling was provided for 45 min, while resting at a room temperature of 24.6-25.0 degrees C and a relative humidity of 22-24%. Subsequently, the thermophysiological human simulator was used under the same conditions to provide data on thermophysiological responses such as skin and rectal temperatures. The cooling power determined using the thermal manikin was 2 times higher for the cooling shirt and 1.5 times higher for the ice vest compared to the cooling power determined using human participants. For the thermophysiological human simulator, the cooling power of the cooling shirt was similar to that obtained using human participants. However, it was 2 times lower for the ice vest when using the thermophysiological human simulator. The thermophysiological human simulator is shown to be a useful tool to predict thermophysiological responses, especially upon application of mild cooling intensity. However, the thermophysiological human simulator needs to be further improved for strong cooling intensities under heterogeneous conditions.

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Year:  2010        PMID: 20664163     DOI: 10.1088/0967-3334/31/9/007

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  6 in total

Review 1.  Cooling athletes with a spinal cord injury.

Authors:  Katy E Griggs; Michael J Price; Victoria L Goosey-Tolfrey
Journal:  Sports Med       Date:  2015-01       Impact factor: 11.136

2.  The effects of physiological thermoregulation on the efficacy of surface cooling for therapeutic hypothermia.

Authors:  Mayank Kalra; Majid Bahrami; Carolyn J Sparrey
Journal:  Med Biol Eng Comput       Date:  2014-11-23       Impact factor: 2.602

3.  Local air gap thickness and contact area models for realistic simulation of human thermo-physiological response.

Authors:  Agnes Psikuta; Emel Mert; Simon Annaheim; René M Rossi
Journal:  Int J Biometeorol       Date:  2018-02-24       Impact factor: 3.787

4.  Modeling and Prediction of Thermophysiological Comfort Properties of a Single Layer Fabric System Using Single Sector Sweating Torso.

Authors:  Farzan Gholamreza; Yang Su; Ruoyao Li; Anupama Vijaya Nadaraja; Robert Gathercole; Ri Li; Patricia I Dolez; Kevin Golovin; René M Rossi; Simon Annaheim; Abbas S Milani
Journal:  Materials (Basel)       Date:  2022-08-22       Impact factor: 3.748

5.  An integrated approach to develop, validate and operate thermo-physiological human simulator for the development of protective clothing.

Authors:  Agnes Psikuta; Barbara Koelblen; Emel Mert; Piero Fontana; Simon Annaheim
Journal:  Ind Health       Date:  2017-09-29       Impact factor: 2.179

6.  Experimental Study on the Efficacy of a Novel Personal Cooling Vest Incorporated with Phase Change Materials and Fans.

Authors:  Xiaoyang Ni; Tianyu Yao; Ying Zhang; Yijie Zhao; Qin Hu; Albert P C Chan
Journal:  Materials (Basel)       Date:  2020-04-11       Impact factor: 3.623

  6 in total

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