Literature DB >> 16172864

Determining localized garment insulation values from manikin studies: computational method and results.

D A Nelson1, J S Curlee, A R Curran, J M Ziriax, P A Mason.   

Abstract

The localized thermal insulation value expresses a garment's thermal resistance over the region which is covered by the garment, rather than over the entire surface of a subject or manikin. The determination of localized garment insulation values is critical to the development of high-resolution models of sensible heat exchange. A method is presented for determining and validating localized garment insulation values, based on whole-body insulation values (clo units) and using computer-aided design and thermal analysis software. Localized insulation values are presented for a catalog consisting of 106 garments and verified using computer-generated models. The values presented are suitable for use on volume element-based or surface element-based models of heat transfer involving clothed subjects.

Mesh:

Year:  2005        PMID: 16172864     DOI: 10.1007/s00421-005-0033-4

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  10 in total

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Authors:  D Fiala; K J Lomas; M Stohrer
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2.  Thermal manikin history and applications.

Authors:  Ingvar Holmér
Journal:  Eur J Appl Physiol       Date:  2004-09       Impact factor: 3.078

3.  Local thermal unpleasantness and discomfort prediction in the vicinity of thermoneutrality.

Authors:  Nicolas Pellerin; Anne Deschuyteneer; Victor Candas
Journal:  Eur J Appl Physiol       Date:  2004-09       Impact factor: 3.078

Review 4.  Predicting human thermal comfort in a transient nonuniform thermal environment.

Authors:  J P Rugh; R B Farrington; D Bharathan; A Vlahinos; R Burke; C Huizenga; H Zhang
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5.  A description of discrete vessel segments in thermal modelling of tissues.

Authors:  A Kotte; G van Leeuwen; J de Bree; J van der Koijk; H Crezee; J Lagendijk
Journal:  Phys Med Biol       Date:  1996-05       Impact factor: 3.609

6.  Predicted thermophysiological responses of humans to MRI fields.

Authors:  E R Adair; L G Berglund
Journal:  Ann N Y Acad Sci       Date:  1992-03-31       Impact factor: 5.691

7.  Computer prediction of human thermoregulatory and temperature responses to a wide range of environmental conditions.

Authors:  D Fiala; K J Lomas; M Stohrer
Journal:  Int J Biometeorol       Date:  2001-09       Impact factor: 3.787

Review 8.  Exercise, performance and temperature control: temperature regulation during exercise and implications for sports performance and training.

Authors:  S M Fortney; N B Vroman
Journal:  Sports Med       Date:  1985 Jan-Feb       Impact factor: 11.136

Review 9.  Perioperative heat balance.

Authors:  D I Sessler
Journal:  Anesthesiology       Date:  2000-02       Impact factor: 7.892

Review 10.  Skin blood flow in adult human thermoregulation: how it works, when it does not, and why.

Authors:  Nisha Charkoudian
Journal:  Mayo Clin Proc       Date:  2003-05       Impact factor: 7.616

  10 in total
  3 in total

1.  A 3-D virtual human model for simulating heat and cold stress.

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Journal:  J Appl Physiol (1985)       Date:  2022-06-23

Review 2.  Seasonal variations in physical activity and implications for human health.

Authors:  Roy J Shephard; Yukitoshi Aoyagi
Journal:  Eur J Appl Physiol       Date:  2009-07-16       Impact factor: 3.078

3.  Local clothing thermal properties of typical office ensembles under realistic static and dynamic conditions.

Authors:  Stephanie Veselá; Agnes Psikuta; Arjan J H Frijns
Journal:  Int J Biometeorol       Date:  2018-10-29       Impact factor: 3.787

  3 in total

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