SavedAdd your journal

Journals / Textile and Apparel / 2017 / Cilt: 27 Sayı: 3

RESPONSE SURFACE DESIGNS IN QUALITY CONTROL: YARN IRREGULARITY EXERCISE

KALİTE KONTROLDE YANIT YÜZEY DESENLERİ: İPLİK DÜZGÜNSÜZLÜĞÜ ÖRNEĞİ

Nefise Gönül ŞENGÖZ
Pınar ARSLAN
Pages
289–299
Publication Date
2017-09-30
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It is concluded that this novel method of response surface designs with feasible region provides valuable results, is effective in prediction, is benificial in textile quality control, and can also be widely used in other industry branches when it is incorporated into a statistical quality control computer program.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:It is proposed that response surface designs with feasable region is an effective tool in prediction of a specific property of a product from the known properties of raw material, with a yarn irregularity exercise, for the first time in textile literature in this paper.
📊
Key Findings & Data:Response surface designs with feasible region are used to obtain the relationship between the response variable (yarn irregularity) and effecting factors (fiber properties) in 3D graphs and contour lines both for yarn in bobbin and cop form separately.
💡
Conclusion & Impact:It is concluded that this novel method of response surface designs with feasible region provides valuable results, is effective in prediction, is benificial in textile quality control, and can also be widely used in other industry branches when it is incorporated into a statistical quality control computer program.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Deneme Desenleri · Yanıt Yüzey Deseni · Elverişli Bölge

Abstract

It is proposed that response surface designs with feasable region is an effective tool in prediction of a specific property of a product from the known properties of raw material, with a yarn irregularity exercise, for the first time in textile literature in this paper. The data used in this research is obtained from a cotton yarn spinning mill, being real production data. Response surface designs with feasible region are used to obtain the relationship between the response variable (yarn irregularity) and effecting factors (fiber properties) in 3D graphs and contour lines both for yarn in bobbin and cop form separately. It is concluded that this novel method of response surface designs with feasible region provides valuable results, is effective in prediction, is benificial in textile quality control, and can also be widely used in other industry branches when it is incorporated into a statistical quality control computer program.

Özet

Bu çalışmada, yanıt yüzey desenlerinin elverişli bölge ile beraber kullanılmasının, hammaddenin bilinen özelliklerinden ürünün belli bir özelliğinin tahminlenmesinde etkili bir araç olduğu, tekstil literatüründe bir ilk olarak bu çalışmada ortaya konulmuştur. Bu araştırmada, bir pamuk ipliği fabrikasının gerçek üretim verileri kullanılmıştır. Hem kops hem bobin halindeki iplik için, yanıt değişkeni (iplik düzgünsüzlüğü) ve etken faktörler (lif özellikleri) arasındaki ilişkinin elde edilmesi için 3-boyutlu grafik olan yanıt yüzey desenleri elverişli bölge ile beraber kullanılmıştır. Sonuç olarak, özgün bir metod olan yanıt yüzey desenlerinin elverişli bölge ile beraber kullanılmasının değerli sonuçlar verdiği, tahminlenme için etkili olduğu, tekstil kalite kontrolu için faydalı olduğu ve istatistiksel kalite kontrolu yapan bir bilgisayar programının içine eklendiği zaman endüstrinin diğer dallarında da yaygın olarak kullanılabileceği belirlenmiştir.

🔖

Cite This Article

ŞENGÖZ, N. G., ARSLAN, P. (2017). RESPONSE SURFACE DESIGNS IN QUALITY CONTROL: YARN IRREGULARITY EXERCISE. Textile and Apparel, Cilt: 27 Sayı: 3, 289–299. https://ajindex.com/articles/943606

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (12)

  1. Üreyen, M. E. and Kadoğlu, H., “Regressional Estimation of Ring Cotton Yarn Properties from HVI Fiber Properties”, Textile Research Journal, 2006, 76(5): 360-366
  2. Üreyen, M. E. and Kadoğlu, H., “The Prediction of Cotton Ring Yarn Properties from AFIS Fibre Properties by Using Linear Regression Models”, Fibres & Textiles in Eastern Europe, 2007, 15(4): 63-67
  3. Üreyen, M. E. and Gürkan, P., “Comparison of Artificial Neural Network and Linear Regression Models for Prediction of Ring Spun Yarn Properties I. Prediction of Yarn Tensile Properties”, Fibers And Polymers, 2008, 9(1): 87-91
  4. Üreyen, M. E. and Gürkan, P., “Comparison of Artificial Neural Network and Linear Regression Models for Prediction of Ring Spun Yarn Properties II. Prediction of Yarn Hairiness and Unevenness”, Fibers And Polymers, 2008, 9(1): 92-96
  5. Chattopadhyay, R. and Guha, A., “Performance of Neural Networks for Predicting Yarn Properties Using Principal Component Analysis”, Journal of Applied Polymer Science, 2004, 91(3): 1746-1751
  6. Babay, A., Cheikhrouhou, M., Vermeulen, B., Rabenasolo, B., and Castelain, J.M., “Selecting The Optimal Neural Network Architecture For Predicting Cotton Yarn Hairness”, The Journal of Textile Institute, 2004, 96(3): 185-192
  7. Majumdar, A., Majumdar, P.K., and Sarkarve, B., “Prediction of Single Yarn Tenacity of Ring and Rotor Spun Yarns from HVI Results Using Artificial Neural Networks”, Indian Journal of Fibre & Textile Research, 2004, 29:157-162
  8. Majumdar, P. K. and Majumdar, A., “Predicting the Breaking Elongation of Ring Spun Cotton Yarns Using Mathematical, Statistical and Artificial Neural Network Models”, Textile Research Journal, 2004, 74(7): 652-655
  9. Mwasiagi, J.I., XiuBao, H., and XinHouve, W., “Predicting Yarn Tensile Strength Using Elman Network”, In: Proceedings of the Beltwide Cotton Conferences, New Orleans, Louisiana, 2007, pp.1924-1929
  10. Cheng, L. and Adams, D. L., “Yarn Strength Prediction Using Neural Networks Part I: Fiber Properties and Yarn Strength Relationship”, Textile Research Journal, 1995, 65(9): 495-500
  11. Üreyen, M. E. and Kadoğlu, H., “Ring Pamuk İplikleri ile AFIS Lif Özellikleri Arasındaki İnteraksiyonlar” (Interactions Between AFIS Fibre Properties and Ring Cotton Yarn Properties), Tekstil ve Konfeksiyon Dergisi (Journal of Textile & Apparel), 2008, 1:8-13
  12. Üreyen, M. E. and Kadoğlu, H., “Ring Pamuk İplikleri ile HVI Lif Özellikleri Arasındaki İnteraksiyonlar” (Interactions Between HVI Fibre P