Algorithm to determine local basis weight of random fibrous networks with X-ray microtomography and SEM images
Textile Research Journal, cilt.94, sa.7-8, ss.859-868, 2024 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 94 Sayı: 7-8
- Basım Tarihi: 2024
- Doi Numarası: 10.1177/00405175231214491
- Dergi Adı: Textile Research Journal
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Agricultural & Environmental Science Database, Applied Science & Technology Source, Chemical Abstracts Core, Compendex, INSPEC
- Sayfa Sayıları: ss.859-868
- Anahtar Kelimeler: Basis weight, fibrous structure, nonwovens, parametric algorithm, X-ray micro-CT
- Hacettepe Üniversitesi Adresli: Evet
Özet
Analysis of the basis weight for random fibrous networks is important to understand their microstructure, properties and performance. Two-dimensional microscopical images show in-plane fibers without giving any information on their distribution in three dimensions. This research introduces a fully parametric algorithm for computing the local basis weight of random fibrous networks using three-dimensional images because out-of-plane fiber orientation is important, especially for high-density or thick networks. Voxel models of real nonwoven webs were generated by an X-ray micro-computed tomography system. The developed algorithm could accurately estimate a local basis weight value for random fibrous networks produced with various manufacturing parameters. Numerical results computed with the developed method were compared with those obtained with a physical weight measurement technique. The algorithm was tested and validated for various nonwoven fabrics with different densities. It was observed that the developed method can be used to examine and/or compare the basis weight of a wide range of random fibrous networks. In addition, it can be used to predict the basis weight for fabrics, especially in a new product development process.