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Investigation of the Relationship Between Porosity of Knitted Fabrics and Air Permeability

Year 2021, Volume: 36 Issue: 1, 1 - 10, 10.05.2021
https://doi.org/10.21605/cukurovaumfd.929496

Abstract

In this study, twelve 1x1 rib knitted fabrics containing different structure and features were used. Air permeability of knitted fabrics was measured and their images were taken under a microscope. Textural properties of images were analyzed with image processing techniques in MATLAB package program.
The relationship between air permeability and eight different textural parameters of images related to fabric porosity were analyzed statistically with correlation analysis. A strong relationship was found between fabric porosity parameters and air permeability in fabrics produced from the same raw material.
However, it was observed that this strong relationship decreased when different raw materials were preferred. The effects of fiber properties and blending ratio were determined on the air permeability of knitted fabrics in addition to yarn and fabric porosity.

References

  • 1. Turan, R.B., Okur, A., 2008. Kumaşlarda Hava Geçirgenliği. Tekstil ve Mühendis, 15(72), 16-25.
  • 2. Kırcı, T., Kanat, Z.E., Gülümser, T., Tarakçıoğlu, I., Taşkın, C., Çay, A., 2007. Tekstil Materyallerinde Gözenekliliğin Önemi, Tekstil & Teknik, 23(271), 180-186.
  • 3. Militky, J., Travnickova, M., Bajzik, V., 1999. Air Permeability and Light Transmission of Weaves. International Journal of Clothing Science and Technology, 11(2-3), 116-125.
  • 4. Çay, A., Vassiliadis, S., Rangoussi, M. & Tarakçıoğlu, I., 2007. On the Use of Image Processing Techniques for the Estimation of the Porosity of Textile Fabrics. International Journal of Materials and Textile Engineering, 1(2), 421-424.
  • 5. Haleem, N., Ibrahim, S., Hussain, T., Jabbar, A., Malik, M.H., Malik, Z.A., 2014. Determining the Light Transmission of Woven Fabrics Through Different Measurement Methods and its Correlation with Air Permeability. Journal of Engineered Fibers and Fabrics, 9(4), 76-82.
  • 6. Nazir, A., Hussain, T., Afzal, A., Faheem, S., Ibrahim, W., Bilal, M., 2017. Prediction and Correlation of Air Permeability and Light Transmission Properties of Woven Cotton Fabrics. Autex Research Journal, 17(1), 61-66.
  • 7. Mavruz, S., Oğulata, R.T., 2009. Pamuklu Örme Kumaşlarda Hava Geçirgenliğinin İncelenmesi ve İstatistiksel Olarak Tahminlenmesi. Tekstil ve Konfeksiyon, 19(1), 29-38.
  • 8. Zupin, Ž., Hladnik, A., Dimitrovski, K., 2012. Prediction of One-layer Woven Fabrics Air Permeability Using Porosity Parameters. Textile Research Journal, 82(2), 117-128.
  • 9. Turan, R.B., Okur, A., 2012. Investigation of Pore Parameters of Woven Fabrics by Theoretical and Image Analysis Methods. Journal of the Textile Institute, 103(8), 875-884.
  • 10. Mezarcioz, S., Bebekli, M., Ogulata, R.T., 2013. Prediction of the Air Permeability of Knitted Fabrics: Comparison of the Image Analysis System and Theoretical Model, 8th International Conference TEXSCI 2013, September 23-25, Liberec, Czech Republic.
  • 11. Gültekin, E., Çelik, H. İ., Nohut, S., Elma, S.K., 2020. Predicting Air Permeability and Porosity of Nonwovens with Image Processing and Artificial Intelligence Methods. The Journal of the Textile Institute, DOI: 10.1080/00405000.2020.1727267
  • 12. Telli, A., Özkan, İ., 2018. Görüntü İşleme Teknikleri ile Örme Kumaşlardaki Boncuklanma Direncinin Objektif Ölçümü. Tekstil ve Mühendis, 25(112), 313-318.
  • 13. Telli A., 2019. Boncuklanma Görüntülerinin İşlenmesinde Farklı Filtrelerin Kullanımı, The International Conference of Materials and Engineering Technologies (TICMET’19), 10- 12 October 2019, 695-701.
  • 14. Telli, A., 2020. The Relationship Between Subjective Pilling Evaluation Results and Detecting Pills and Textural Features in Knitted Fabrics. Fibers and Polymers, 21(8), 1841-1848.
  • 15. Telli, A., 2019. An Image Processing Research Consistent with Standard Photographs to Determine Pilling Grade of Woven Fabrics. Tekstil ve Konfeksiyon, 29(3), 268-276.
  • 16. Otsu, N., 1979. A Threshold Selection Method from Gray-level Histograms. IEEE Transactions on Systems, Man, and Cybernetics, 9(1), 62-66.
  • 17. Perihanoğlu, G.M., 2015. Dijital Görüntü İşleme Teknikleri Kullanılarak Görüntülerden Detay Çıkarımı, İstanbul Teknik Üniversitesi Fen Bilimleri Enstitüsü Yüksek Lisans Tezi, İstanbul, 67.
  • 18. MathWorks, Binarize 2-D Grayscale Image or 3-D Volume by Thresholding, https://uk. mathworks.com/help/images/ref/imbinarize.ht ml, Son Erişim: 10.01.2021.
  • 19. MathWorks, Binarize 2-D Grayscale Image or 3-D Volume by Thresholding, https://uk. mathworks.com/help/images/ref/graycoprops.h tml, Son Erişim: 10.01.2021.
  • 20. Özdemir, O., 2005. Medikal İstatistik. İstanbul Medikal Yayıncılık. İstanbul, 314.
  • 21. Öner, E., Okur, A., 2015. Thermophysiological Comfort Properties of Selected Knitted Fabrics and Design of T-shirts. The Journal of The Textile Institute, 106(12), 1403-1414.
  • 22. Oner, E., 2019. Mechanical and Thermal Properties of Knitted Fabrics Produced from Various Fiber Types. Fibers and Polymers, 20(11), 2416-2425.

Örme Kumaş Gözenekliliği ile Hava Geçirgenliği Arasındaki İlişkinin İncelenmesi

Year 2021, Volume: 36 Issue: 1, 1 - 10, 10.05.2021
https://doi.org/10.21605/cukurovaumfd.929496

Abstract

Bu çalışmada farklı yapı ve özellikte on iki adet 1x1 rib örme kumaş kullanılmıştır. Örme kumaşların hava geçirgenlikleri ölçülmüş ve mikroskop altında görüntüleri alınmıştır. Görsellerin MATLAB paket programında görüntü işleme teknikleriyle görüntü doku parametreleri analiz edilmiştir. Kumaş gözenekliliği ile ilgili sekiz farklı görüntü doku parametresi ve hava geçirgenliği arasındaki ilişki korelasyon analizi ile istatistiki olarak incelenmiştir. Aynı hammaddeden üretilmiş kumaşlarda kumaş gözenekliliği parametreleri ile hava geçirgenliği arasında güçlü bir ilişki bulunmuştur. Ancak farklı hammaddeler kullanıldığında bu güçlü ilişkinin azaldığı gözlenmiştir. Örme kumaşların hava geçirgenliği üzerinde iplik ve kumaş gözenekliliğine ek olarak lif özellikleri ve karışım oranının da etkileri tespit edilmiştir.

References

  • 1. Turan, R.B., Okur, A., 2008. Kumaşlarda Hava Geçirgenliği. Tekstil ve Mühendis, 15(72), 16-25.
  • 2. Kırcı, T., Kanat, Z.E., Gülümser, T., Tarakçıoğlu, I., Taşkın, C., Çay, A., 2007. Tekstil Materyallerinde Gözenekliliğin Önemi, Tekstil & Teknik, 23(271), 180-186.
  • 3. Militky, J., Travnickova, M., Bajzik, V., 1999. Air Permeability and Light Transmission of Weaves. International Journal of Clothing Science and Technology, 11(2-3), 116-125.
  • 4. Çay, A., Vassiliadis, S., Rangoussi, M. & Tarakçıoğlu, I., 2007. On the Use of Image Processing Techniques for the Estimation of the Porosity of Textile Fabrics. International Journal of Materials and Textile Engineering, 1(2), 421-424.
  • 5. Haleem, N., Ibrahim, S., Hussain, T., Jabbar, A., Malik, M.H., Malik, Z.A., 2014. Determining the Light Transmission of Woven Fabrics Through Different Measurement Methods and its Correlation with Air Permeability. Journal of Engineered Fibers and Fabrics, 9(4), 76-82.
  • 6. Nazir, A., Hussain, T., Afzal, A., Faheem, S., Ibrahim, W., Bilal, M., 2017. Prediction and Correlation of Air Permeability and Light Transmission Properties of Woven Cotton Fabrics. Autex Research Journal, 17(1), 61-66.
  • 7. Mavruz, S., Oğulata, R.T., 2009. Pamuklu Örme Kumaşlarda Hava Geçirgenliğinin İncelenmesi ve İstatistiksel Olarak Tahminlenmesi. Tekstil ve Konfeksiyon, 19(1), 29-38.
  • 8. Zupin, Ž., Hladnik, A., Dimitrovski, K., 2012. Prediction of One-layer Woven Fabrics Air Permeability Using Porosity Parameters. Textile Research Journal, 82(2), 117-128.
  • 9. Turan, R.B., Okur, A., 2012. Investigation of Pore Parameters of Woven Fabrics by Theoretical and Image Analysis Methods. Journal of the Textile Institute, 103(8), 875-884.
  • 10. Mezarcioz, S., Bebekli, M., Ogulata, R.T., 2013. Prediction of the Air Permeability of Knitted Fabrics: Comparison of the Image Analysis System and Theoretical Model, 8th International Conference TEXSCI 2013, September 23-25, Liberec, Czech Republic.
  • 11. Gültekin, E., Çelik, H. İ., Nohut, S., Elma, S.K., 2020. Predicting Air Permeability and Porosity of Nonwovens with Image Processing and Artificial Intelligence Methods. The Journal of the Textile Institute, DOI: 10.1080/00405000.2020.1727267
  • 12. Telli, A., Özkan, İ., 2018. Görüntü İşleme Teknikleri ile Örme Kumaşlardaki Boncuklanma Direncinin Objektif Ölçümü. Tekstil ve Mühendis, 25(112), 313-318.
  • 13. Telli A., 2019. Boncuklanma Görüntülerinin İşlenmesinde Farklı Filtrelerin Kullanımı, The International Conference of Materials and Engineering Technologies (TICMET’19), 10- 12 October 2019, 695-701.
  • 14. Telli, A., 2020. The Relationship Between Subjective Pilling Evaluation Results and Detecting Pills and Textural Features in Knitted Fabrics. Fibers and Polymers, 21(8), 1841-1848.
  • 15. Telli, A., 2019. An Image Processing Research Consistent with Standard Photographs to Determine Pilling Grade of Woven Fabrics. Tekstil ve Konfeksiyon, 29(3), 268-276.
  • 16. Otsu, N., 1979. A Threshold Selection Method from Gray-level Histograms. IEEE Transactions on Systems, Man, and Cybernetics, 9(1), 62-66.
  • 17. Perihanoğlu, G.M., 2015. Dijital Görüntü İşleme Teknikleri Kullanılarak Görüntülerden Detay Çıkarımı, İstanbul Teknik Üniversitesi Fen Bilimleri Enstitüsü Yüksek Lisans Tezi, İstanbul, 67.
  • 18. MathWorks, Binarize 2-D Grayscale Image or 3-D Volume by Thresholding, https://uk. mathworks.com/help/images/ref/imbinarize.ht ml, Son Erişim: 10.01.2021.
  • 19. MathWorks, Binarize 2-D Grayscale Image or 3-D Volume by Thresholding, https://uk. mathworks.com/help/images/ref/graycoprops.h tml, Son Erişim: 10.01.2021.
  • 20. Özdemir, O., 2005. Medikal İstatistik. İstanbul Medikal Yayıncılık. İstanbul, 314.
  • 21. Öner, E., Okur, A., 2015. Thermophysiological Comfort Properties of Selected Knitted Fabrics and Design of T-shirts. The Journal of The Textile Institute, 106(12), 1403-1414.
  • 22. Oner, E., 2019. Mechanical and Thermal Properties of Knitted Fabrics Produced from Various Fiber Types. Fibers and Polymers, 20(11), 2416-2425.
There are 22 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Articles
Authors

Abdurrahman Telli This is me

Publication Date May 10, 2021
Published in Issue Year 2021 Volume: 36 Issue: 1

Cite

APA Telli, A. (2021). Örme Kumaş Gözenekliliği ile Hava Geçirgenliği Arasındaki İlişkinin İncelenmesi. Çukurova Üniversitesi Mühendislik Fakültesi Dergisi, 36(1), 1-10. https://doi.org/10.21605/cukurovaumfd.929496