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ČeštinaEnglish

Air permeability of woollen fabrices

Result description

Prediction of fabric air permeability from predicted volume porosity (as combination of yarn diameters and weft / warp setts is tested. Total 27 wool/PET plain weaves with constant sett of warp and varying sett of weft and varying yarn fineness are usedfor predictive model building. The multiple linear regression models based on the yarn fineness and fabric sett are compared with nonparametric models created by neural network.

Keywords

air permeabilityvolume porositylinear regression modelsnonparametric models

The result's identifiers

Alternative languages

  • Result language

    angličtina

  • Original language name

    Air permeability of woollen fabrices

  • Original language description

    Prediction of fabric air permeability from predicted volume porosity (as combination of yarn diameters and weft / warp setts is tested. Total 27 wool/PET plain weaves with constant sett of warp and varying sett of weft and varying yarn fineness are usedfor predictive model building. The multiple linear regression models based on the yarn fineness and fabric sett are compared with nonparametric models created by neural network.

  • Czech name

    —

  • Czech description

    —

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    JJ - Other materials

  • OECD FORD branch

    —

Result continuities

Others

  • Publication year

    2011

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Selected topics of textile and material science

  • ISBN

    978-80-261-0062-1

  • Number of pages of the result

    14

  • Pages from-to

    338-351

  • Number of pages of the book

    404

  • Publisher name

    Publishing House of WBU, Pilsen

  • Place of publication

    Plzeň, Česká republika

  • UT code for WoS chapter

    —

Basic information

Result type

C - Chapter in a specialist book

C

CEP

JJ - Other materials

Year of implementation

2011

Similar results(10)

Neural Networks for Light and Air Permeability Prediction.Thermal conductivity prediction of textile materialsInfluence of Fabric Construction on the Their Porosity and Air Permeability