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Defect Detection of Velvet Bathrobe Fabrics and Grading with Demerit Point Systems

Yıl 2015, Cilt: 21 Sayı: 7, 288 - 295, 02.01.2016

Öz

Fabric defects that may occur at different stages of woven terry fabric production requires quality control and classification of fabrics as first or second grade before sending to customer. In this study, before shipping of two different terry fabric orders, defects were detected by inspection of fabric rolls on a lighted control board by experienced experts. Number of the defects and dimensions of the defects seen during the inspection were noted on quality control charts. Detected defects were defined and scored according to different demerit point systems. In this way, the fabric rolls were classified according to the demerit point systems before being shipped to garment enterprises. Disputes can be avoided with classification made by a demerit point system on which manufacturer and the customer have agreed.

Kaynakça

  • Mehta PV, Bhardwaj SK. Managing Quality in the Apparel Industry. 1st ed. New Delhi, India. New Age International Ltd. 1998.
  • Türk Standartları Enstitüsü. “Dokuma Kumaşlar Hata Tarifleri-Terimler”. Türk Standartları Enstitüsü, Ankara, Türkiye, TS 471 ISO 8498, 2005.
  • Bona M. Textile Quality. Manchester, United Kingdom, The Textile Institute, 1994.
  • ASTM Standard. “Standard Terminology Relating to Fabric Defects”. ASTM International, Pennsylvania, USA. ASTM D3990-99, 1999.
  • British Standard. “Glossary of Terms for Defects in Woven Fabrics”. British Standard Institution, London, UK. BS 7342:1990, ISO8498:1989, 1990.
  • Çelik Hİ, Dülger LC, Topalbekiroğlu M. “Görüntü İşleme Teknikleri Kullanarak Kumaş Hatalarının Belirlenmesi”. Tekstil Teknolojileri Elektronik Dergisi, 6(1), 22-39, 2012.
  • Hu MC, Tsai IS. “The Inspection of Fabric Defects by Using Wavelet Transform”. Journal of Textile Institute, 91(3), 420-433, 1991.
  • Kumar A. “Computer Vision-Based Fabric Defect Detection: A Survey”. IEEE Transactions on Industrial Electronics, 55(1), 348-363, 2008.
  • Kısaoğlu ÖD. “Kumaş Kalite Kontrol Sistemleri”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 12(2), 233-241, 2006.
  • Tsai I, Lin C, Lin J. “Applying an Artificial Neural Network to Pattern Recognition in Fabric Defects”. Textile Research Journal, 65(3), 123-130, 1995.
  • Özdemir S, Erçil A. “Markov Random Fields and KarhunenLoève Transforms for Defect Inspection of Textile Products”. Emerging Technologies and Factory Automation, 1996. EFTA '96. Proceedings, 1996 IEEE Conference on. Kauai, Hawaii, 18-21 November, 1996.
  • Conci A, Proença CB. “A Fractal Image Analysis System for Fabric Inspection Based on Box-Counting Method”. Computer Networks and ISDN Systems, 30(20-21), 1887–1895, 1998.
  • İkiz, Y, Ala DM. “Digitizing and Classifying Woven Fabric Defects”. Tekstil ve Konfeksiyon Dergisi, (4), 346-353, 2012.
  • A. Conci and C. B. Proença, “A Computer Vision Approach for Textile Inspection”. Textile Research Journal, 70(4), 347-350, 2000.
  • Bodnarova A, Bennamoun M, Kubik KK. “Defect Detection in Textile Materials Based on Aspects of HVS”. IEEE International Conference on Systems, Man and Cybernetics, San Diego, California, USA, 11-14 October 1998.
  • Cho CS, Chung BM, Park MJ. “Development of Real-Time Vision-Based Fabric Inspection System”. IEEE Transactions Industrial Electronics, 52(4), 1073-1079, 2005.
  • Mallick-Goswami B, Datta AK. “Detecting Defects in Fabric with Laser-Based Morphological Image Processing”. Textile Research Journal, 70(9), 758-762, 2000.
  • Kumar A. “Neural Network Based Detection of Local Textile Defects”. Pattern Recognition 36(7), 1645–1659, 2003.
  • Tsai IS, Hu MC. “Automatic Inspection of Fabric Defects Using an Artificial Neural Network Technique”. Textile Research Journal, 66(7), 474-482, 1996
  • Kumar A, Pang G. “Defect Detection in Textured Materials Using Gabor Filters”. IEEE Transactions on Industry Applications, 38(2), 425–440, 2002.
  • Kumar A, Pang G. “Defect Detection in Textured Materials Using Optimized Filters”. IEEE Transactions on Systems, Man and Cybernetics Part B, Cybernetics, 32(5), 553-570, 2002.
  • Dorrity JL, Vachtsevanos G. “On-line Defect Detection for Weaving Systems”. Proc. IEEE Annual Technical Conference Textile, Fiber, Atlanta, GA, 15-16 May 1996.
  • Cross R, Jain AK. “Markov Random Field Texture Models”. IEEE Transactions on Pattern Analysis Machine Intelligence, 5(1), 25-39, 1983.
  • Brzakovi´c, DP, Baki´c, PR, Vuiovic NS, Sari-Sarraf H. “A Generalized Development Environment for Inspection of web Materials”. Proceedings of IEEE International Conference on Robotics Automation, Albuquerque, NM, 20-25 April 1997.
  • Campbell JG, Fraley C, Murtagh F, Raftery AE. “Linear Flaw Detection in Woven Textiles Using Model-Based Clustering”. Pattern Recognition Letters, 18(14), 1539-1548, 1997.
  • Ala DM. Dokuma Kumaş Hatalarının Görüntü Analizi Yöntemiyle Sayısallaştırılması. Yüksek Lisans Tezi, Pamukkale Üniversitesi, Denizli, Türkiye, 2008.
  • Grover EB, Hamby DS. Handbook of Textile Testing and Quality Control. 1st ed. New York, USA, Textile Book Publishers, 1960.
  • Kadolph SJ. Quality Assurance for Textiles and Apparel. 2nd ed. USA, Fairchild Publications, 2007.
  • Mehta PV. An Introduction to Quality Control for the Apparel Industry. 2nd ed. Boca Raton, Florida, USA, CRC Press, 1992.
  • ASTM Standard. “Standard Test Methods for Visually Inspecting and Grading Fabrics”. ASTM International, Pennsylvania, USA, ASTM d 5430-04, 2004.
  • Kısaoğlu ÖD.“ Orta Büyüklükte Bir Dokuma İşletmesinde İstatistiksel Proses Kontrol Sistemi: I. Kumaş Hatalarının Kontrolü”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 16(3), 291-301, 2010.

Bornozluk Kadife Kumaşların Hata Kontrolü ve Hata Puan Sistemlerine Göre Sınıflandırılması

Yıl 2015, Cilt: 21 Sayı: 7, 288 - 295, 02.01.2016

Öz

Bornozluk dokuma kumaşlarda üretimin farklı aşamalarında oluşabilen kumaş hataları, kumaşların müşteriye gönderilmeden önce kontrol edilerek birinci veya ikinci kalite olarak sınıflandırılmasını gerektirmektedir. Bu çalışmada, iki farklı sipariş için üretilen bornozluk kadife kumaş yüklemeleri öncesi, ışıklı panoda deneyimli kalite kontrol elemanları tarafından kumaş toplarının hata kontrolü yapılmıştır. Kontrol sırasında görülen farklı hataların sayıları ve hata boyutları kalite kontrol kartlarına işlenmiştir. Tespit edilen hataların tanımları yapılmış ve kumaş hataları farklı hata puan sistemlerine göre puanlandırılmıştır. Bu sayede kumaş topları konfeksiyon işletmesine sevk edilmeden önce hata puan sistemlerine göre sınıflandırılmıştır. Üretici ve müşterinin üzerinde anlaşmaya vardığı bir hata puan sistemine göre yapılan sınıflandırma sayesinde anlaşmazlıkların önüne geçilebilecektir.

Kaynakça

  • Mehta PV, Bhardwaj SK. Managing Quality in the Apparel Industry. 1st ed. New Delhi, India. New Age International Ltd. 1998.
  • Türk Standartları Enstitüsü. “Dokuma Kumaşlar Hata Tarifleri-Terimler”. Türk Standartları Enstitüsü, Ankara, Türkiye, TS 471 ISO 8498, 2005.
  • Bona M. Textile Quality. Manchester, United Kingdom, The Textile Institute, 1994.
  • ASTM Standard. “Standard Terminology Relating to Fabric Defects”. ASTM International, Pennsylvania, USA. ASTM D3990-99, 1999.
  • British Standard. “Glossary of Terms for Defects in Woven Fabrics”. British Standard Institution, London, UK. BS 7342:1990, ISO8498:1989, 1990.
  • Çelik Hİ, Dülger LC, Topalbekiroğlu M. “Görüntü İşleme Teknikleri Kullanarak Kumaş Hatalarının Belirlenmesi”. Tekstil Teknolojileri Elektronik Dergisi, 6(1), 22-39, 2012.
  • Hu MC, Tsai IS. “The Inspection of Fabric Defects by Using Wavelet Transform”. Journal of Textile Institute, 91(3), 420-433, 1991.
  • Kumar A. “Computer Vision-Based Fabric Defect Detection: A Survey”. IEEE Transactions on Industrial Electronics, 55(1), 348-363, 2008.
  • Kısaoğlu ÖD. “Kumaş Kalite Kontrol Sistemleri”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 12(2), 233-241, 2006.
  • Tsai I, Lin C, Lin J. “Applying an Artificial Neural Network to Pattern Recognition in Fabric Defects”. Textile Research Journal, 65(3), 123-130, 1995.
  • Özdemir S, Erçil A. “Markov Random Fields and KarhunenLoève Transforms for Defect Inspection of Textile Products”. Emerging Technologies and Factory Automation, 1996. EFTA '96. Proceedings, 1996 IEEE Conference on. Kauai, Hawaii, 18-21 November, 1996.
  • Conci A, Proença CB. “A Fractal Image Analysis System for Fabric Inspection Based on Box-Counting Method”. Computer Networks and ISDN Systems, 30(20-21), 1887–1895, 1998.
  • İkiz, Y, Ala DM. “Digitizing and Classifying Woven Fabric Defects”. Tekstil ve Konfeksiyon Dergisi, (4), 346-353, 2012.
  • A. Conci and C. B. Proença, “A Computer Vision Approach for Textile Inspection”. Textile Research Journal, 70(4), 347-350, 2000.
  • Bodnarova A, Bennamoun M, Kubik KK. “Defect Detection in Textile Materials Based on Aspects of HVS”. IEEE International Conference on Systems, Man and Cybernetics, San Diego, California, USA, 11-14 October 1998.
  • Cho CS, Chung BM, Park MJ. “Development of Real-Time Vision-Based Fabric Inspection System”. IEEE Transactions Industrial Electronics, 52(4), 1073-1079, 2005.
  • Mallick-Goswami B, Datta AK. “Detecting Defects in Fabric with Laser-Based Morphological Image Processing”. Textile Research Journal, 70(9), 758-762, 2000.
  • Kumar A. “Neural Network Based Detection of Local Textile Defects”. Pattern Recognition 36(7), 1645–1659, 2003.
  • Tsai IS, Hu MC. “Automatic Inspection of Fabric Defects Using an Artificial Neural Network Technique”. Textile Research Journal, 66(7), 474-482, 1996
  • Kumar A, Pang G. “Defect Detection in Textured Materials Using Gabor Filters”. IEEE Transactions on Industry Applications, 38(2), 425–440, 2002.
  • Kumar A, Pang G. “Defect Detection in Textured Materials Using Optimized Filters”. IEEE Transactions on Systems, Man and Cybernetics Part B, Cybernetics, 32(5), 553-570, 2002.
  • Dorrity JL, Vachtsevanos G. “On-line Defect Detection for Weaving Systems”. Proc. IEEE Annual Technical Conference Textile, Fiber, Atlanta, GA, 15-16 May 1996.
  • Cross R, Jain AK. “Markov Random Field Texture Models”. IEEE Transactions on Pattern Analysis Machine Intelligence, 5(1), 25-39, 1983.
  • Brzakovi´c, DP, Baki´c, PR, Vuiovic NS, Sari-Sarraf H. “A Generalized Development Environment for Inspection of web Materials”. Proceedings of IEEE International Conference on Robotics Automation, Albuquerque, NM, 20-25 April 1997.
  • Campbell JG, Fraley C, Murtagh F, Raftery AE. “Linear Flaw Detection in Woven Textiles Using Model-Based Clustering”. Pattern Recognition Letters, 18(14), 1539-1548, 1997.
  • Ala DM. Dokuma Kumaş Hatalarının Görüntü Analizi Yöntemiyle Sayısallaştırılması. Yüksek Lisans Tezi, Pamukkale Üniversitesi, Denizli, Türkiye, 2008.
  • Grover EB, Hamby DS. Handbook of Textile Testing and Quality Control. 1st ed. New York, USA, Textile Book Publishers, 1960.
  • Kadolph SJ. Quality Assurance for Textiles and Apparel. 2nd ed. USA, Fairchild Publications, 2007.
  • Mehta PV. An Introduction to Quality Control for the Apparel Industry. 2nd ed. Boca Raton, Florida, USA, CRC Press, 1992.
  • ASTM Standard. “Standard Test Methods for Visually Inspecting and Grading Fabrics”. ASTM International, Pennsylvania, USA, ASTM d 5430-04, 2004.
  • Kısaoğlu ÖD.“ Orta Büyüklükte Bir Dokuma İşletmesinde İstatistiksel Proses Kontrol Sistemi: I. Kumaş Hatalarının Kontrolü”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 16(3), 291-301, 2010.
Toplam 31 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Makale
Yazarlar

Deniz Mutlu Ala

Yüksel İkiz

Yayımlanma Tarihi 2 Ocak 2016
Yayımlandığı Sayı Yıl 2015 Cilt: 21 Sayı: 7

Kaynak Göster

APA Ala, D. M., & İkiz, Y. (2016). Defect Detection of Velvet Bathrobe Fabrics and Grading with Demerit Point Systems. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 21(7), 288-295.
AMA Ala DM, İkiz Y. Defect Detection of Velvet Bathrobe Fabrics and Grading with Demerit Point Systems. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. Ocak 2016;21(7):288-295.
Chicago Ala, Deniz Mutlu, ve Yüksel İkiz. “Defect Detection of Velvet Bathrobe Fabrics and Grading With Demerit Point Systems”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 21, sy. 7 (Ocak 2016): 288-95.
EndNote Ala DM, İkiz Y (01 Ocak 2016) Defect Detection of Velvet Bathrobe Fabrics and Grading with Demerit Point Systems. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 21 7 288–295.
IEEE D. M. Ala ve Y. İkiz, “Defect Detection of Velvet Bathrobe Fabrics and Grading with Demerit Point Systems”, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, c. 21, sy. 7, ss. 288–295, 2016.
ISNAD Ala, Deniz Mutlu - İkiz, Yüksel. “Defect Detection of Velvet Bathrobe Fabrics and Grading With Demerit Point Systems”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 21/7 (Ocak 2016), 288-295.
JAMA Ala DM, İkiz Y. Defect Detection of Velvet Bathrobe Fabrics and Grading with Demerit Point Systems. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2016;21:288–295.
MLA Ala, Deniz Mutlu ve Yüksel İkiz. “Defect Detection of Velvet Bathrobe Fabrics and Grading With Demerit Point Systems”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, c. 21, sy. 7, 2016, ss. 288-95.
Vancouver Ala DM, İkiz Y. Defect Detection of Velvet Bathrobe Fabrics and Grading with Demerit Point Systems. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2016;21(7):288-95.





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