Characterization of needle-punched nonwoven fabric air filter using computer vision – a review
Author:
Affiliation:
1. DKTE’S Textile and Engineering Institute, Ichalkaranji, India
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/10.1080/00405000.2022.2151085
Reference81 articles.
1. Predicting Fibrous Filter’s Efficiency by Two Methods: Artificial Neural Network (ANN) and Integration of Genetic Algorithm and Artificial Neural Network (GAINN)
2. ASTM F316-03. (2011). Standard test methods for pore size characteristics of membrane filters by bubble point and mean.
3. ASTM D 5729-97. (1997). Standard test method for thickness of nonwoven fabrics.
4. Factors Affecting the Air Resistance of Nonwoven Needle-Punched Fabrics
5. Digital Image Analysis to Determine Pore Opening Size Distribution of Nonwoven Geotextiles
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