Predicting Whole Ensemble (3D) Thermal and Vapor Resistances from Swatch Textile Measures (2D)
Abstract
This report has been prepared to support the Personalized Protective Biosystem (PPB). The thermal resistances of ensembles are influenced by a number of complex variables that are not fully understood and quantifying each of these variables (textile, the air gap between the skin and ensemble, and the boundary layer air outside the ensemble) is technically challenging. This report outlined a multi-step analysis to estimate total three-dimensional (3D) ensemble thermal and vapor resistances from two-dimensional (2D) textile measurements. Data from this analysis used 30 paired sets of measured values from both sweating guarded hot plate (SGHP) (i.e., 2D) and whole human thermal manikins (i.e., 3D). These paired data were then used to develop estimation methods based on two predictive approaches: 1) generally applied simple machine learning methods and 2) a multiplicative solver function. Calculated bias and errors were compared between methods and usable equations were proposed as initial approaches for functionally estimating 3D values from 2D-obtained data.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 18, 2022
- Accession Number
- AD1186790
Entities
People
- Adam W Potter
- Julio A. Gonzalez
Organizations
- United States Army Research Institute of Environmental Medicine