
Predictive geometric models for some hygienic properties of multi-component fabrics
Author(s) -
M. A. Chizhik,
V. Yu. Yurkov,
Elena Dolgova
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1901/1/012059
Subject(s) - component (thermodynamics) , quadratic equation , computer science , mathematical optimization , software , set (abstract data type) , mathematics , algorithm , geometry , physics , thermodynamics , programming language
This paper is devoted to the geometric and computer simulation of hygienic properties of fabrics which are considered as multi-parameter and multi-component systems. We consider predictive models of fabric hygroscopicity and air permeability. There is a problem of building co-ordinate geometric models on condition that the set of experimental data is limited. We solve the problem for static multi-component systems. All models are considered as monoidal surfaces in the space of input and output parameters. The paper proposes an algorithm of building linear and quadratic models of fabric properties. Results of the investigations allow us to substantiate producer’s choice of fabric construction and composition for manufacturing the clothes of special purpose. The method suggested in the paper is one of geometric modulus of the software HYPER-DESCENT which has been developed formerly. Our geometric models together with software HYPER-DESCENT may be applied for simulation and prediction the properties of multi-parametrical systems or technological processes of light industry.