Predicting air permeability and porosity of nonwovens with image processing and artificial intelligence methods-Reference-Cited by-同舟云学术

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Predicting air permeability and porosity of nonwovens with image processing and artificial intelligence methods

Published:2020-02-18 Issue:11 Volume:111 Page:1641-1651
ISSN:0040-5000
Container-title:The Journal of The Textile Institute
language:en
Short-container-title:The Journal of The Textile Institute

Author:

Gültekin Elif¹,Çelik H. İbrahim¹,Nohut Serkan²³^ORCID,Elma Suna Karakurd³

Affiliation:

1. Faculty of Engineering, Textile Engineering Department, Gaziantep University, Gaziantep, Turkey;

2. Faculty of Engineering, Mechanical Engineering Department, Piri Reis University, Istanbul, Turkey;

3. Selçuk İplik San. ve Tic. A.Ş., Research and Development Center, Gaziantep, Turkey

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Polymers and Plastics,General Agricultural and Biological Sciences,Materials Science (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/00405000.2020.1727267

Reference38 articles.

1. Digital Image Analysis to Determine Pore Opening Size Distribution of Nonwoven Geotextiles

2. Texture Evolution in Hydroentangled Nonwovens

3. Using Artificial Neural Network Model on Studying Fiber Diameter of Spunbonding Nonwovens: Comparison with Mathematical Empirical Statistical Method Model

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