TL032 Tekstil Endüstrisinde Dijitalleşme

Genel Bilgi

Dersin Amacı

Dersin amacı, tekstil sektöründe kullanımı gittikçe yaygınlaşan dijital uygulamaların tanıtılmasıdır. Hızlı modanın zararlarını azaltarak zaman ve hammadde tasarrufu fırsatları sunan dijital uygulamaları öğretmektir.

Dersin İçeriği

Bu ders; tekstil endüstrisi açısından Endüstri 4.0, sayısal görüntü işleme, görüntü analizinde kullanılan yöntemler, tekstil endüstrisinde dijitalleşmenin sunduğu fırsatlar, tekstil malzemelerinin dijital ikizinin oluşturulması, üç boyutlu giysi simülasyon sistemleri ve dijital moda konuları içermektedir. Dijitalleşmenin tekstil endüstrisine getirdiği kavramlar tartışılacak ve sektördeki problemlerin çözümünde kullanılması incelenecektir.

Dersin Ön Koşulu

Yok

Kaynaklar

Behera BK (2004) Image-processing in textiles. Textile Progress, 35(2-4), 1-193. Arikan CO, (2009) Using Computer Aided Image Processing Applications in Textile Technology. PhD Dissertation, Textile Engineering, Graduate School of Natural and Applied Sciences, Ege University, Turkey, 128 p. Egri S (2011) Problems Encountered in the Sample Review on a Three Dimensional Body Scanner Systems. Master’s Thesis, Dressing Industry and Arts of Dressing Main Science Branch, Gazi University, Turkey, 112 p. Wong WK (Ed.) (2018). Applications of Computer Vision in Fashion and Textiles. Woodhead Publishing. ISBN: 978-0-08-101217-8, 292p. Issa M, Elgholmy S, Sheta A, Fors MN (2022) A new method for measuring the static and dynamic fabric/garment drape using 3D printed mannequin. The Journal of the Textile Institute, 113(6): 1163-1175. Liu L, Deng N, Xin B, Wang Y, Wang W, He Y, Lu S (2021) Objective evaluation of fabric pilling based on multi-view stereo vision. The Journal of the Textile Institute, 112(12): 1986-1997. Ork-Efendioglu N (2019) An Investigation on Usability of 3D Visualization and Simulation Programs in Leather Apparel. Doctoral Thesis, Leather Engineering, Graduate School of Natural and Applied Sciences, Ege University, Turkey, 140 p. Telli A (2019a) An image processing research consistent with standard photographs to determine pilling grade of woven fabrics. Textile and Apparel, 29(3), 268-276. Telli A (2020a) The relationship between subjective pilling evaluation results and detecting pills and textural features in knitted fabrics. Fibers and Polymers, 21(8): 1841-1848. Telli A (2020b) The usage of image processing techniques on the determination of pilling grades, pp:131-155, 171p., Editor: Wallace G. Tarrant, October 2020, Nova Science, ISBN: 978-1-53618-770-0 Telli A (2021a). The comparison of the edge detection methods in the determination of yarn hairiness through image processing. Textile and Apparel, 31(2): 91-98.

Notlar

Yildiz G, Kozbekci-Ayranpinar S (2021) Augmented reality and virtual reality in the fashion industry. Yedi, (25): 1-15. Yuksel H, Bulut MO (2019) Three-dimensional body scanning systems. Tekstil ve Mühendis, 26(116): 406-414. Yarnbank (2022). What's Yarnbank, https://yarnbank.shimaseiki.com/ (Accessed: 09 August 2022) ApexFiz (2022) Product info. https://www.shimaseiki.com/product/design/software/features/ (Accessed: 09 August 2022) CLO (2022) Our Story. https://www.clovirtualfashion.com/story (Accessed: 09 August 2022) CottonWorks (2022a) Digital Product Creation. https://www.cottonworks.com/en/topics/fabric-technology/digital-product-creation/dpc/ (Accessed: 09 August 2022) SDL Atlas (2022), PillGrade, https://sdlatlas.com/products/pillgrade-automated-pilling-grading-system#product-details (Accessed: 09 August 2022) Uster (2022), Uster Fabric Inspection, https://www.uster.com/fileadmin/user_upload/Downloads/Products/Fabric_Inspection/Uster_Fabric_Inspection_WEB_202107.pdf

Dersin Öğrenme Çıktıları

Program Öğrenme Çıktıları ile İlişkisi

Haftalık Akış

Öğrenci İş Yükü - AKTS