Journals / Textile and Apparel / 2009 / Cilt: 19 Sayı: 1

PREDICTION OF CIELab VALUES AND COLOR CHANGING OCCURRED AFTER CHEMICAL FINISHING APPLICATIONS BY ARTIFICIAL NEURAL NETWORKS ON DYED FABRICS

BOYANMIŞ KUMAŞLARDA KİMYASAL APRE UYGULAMALARI SONUCUNDA OLUŞABİLECEK RENK DEĞİŞİMİNİN VE CIELab DEĞERLERİNİN YAPAY SİNİR AĞLARI KULLANILARAK TAHMİN EDİLMESİ

Pages
61–69
Publication Date
2009-06-01
DOI
—
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AI Summary & Key Takeaways

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

In this way, the color changing concerning on chemical finishing process can be determined in advance and the necessary precaution can be taken without having trouble by changes on the dyeing recipes and process parameters

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Color is a fact affected from the properties of the raw material to the final finishing processes which are the most important ones.
📊
Key Findings & Data:In the study, the effect of the finishing processes to CIELab values, consequently the changing on the color were determined, and then these values were tried to be predicted using artificial neural networks (ANN) on different topology.
💡
Conclusion & Impact:In this way, the color changing concerning on chemical finishing process can be determined in advance and the necessary precaution can be taken without having trouble by changes on the dyeing recipes and process parameters
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Kimyasal apre · CIELab · Renk

Abstract

Color is a fact affected from the properties of the raw material to the final finishing processes which are the most important ones. In the study, the effect of the finishing processes to CIELab values, consequently the changing on the color were determined, and then these values were tried to be predicted using artificial neural networks (ANN) on different topology. In this way, the color changing concerning on chemical finishing process can be determined in advance and the necessary precaution can be taken without having trouble by changes on the dyeing recipes and process parameters

Özet

Renk, hammaddenin özelliğinden, son apre işlemine kadar, üretimin her aşamasından etkilenen bir olgudur. Özellikle kimyasal apre uygulamaları sonucunda oluşan renk farklılığı önemli sorunlar yaratmaktadır. Çalışmada seçilen altı farklı dokunmuş ve renklendirilmiş kumaşın apre işlemlerinin CIELab değerlerine etkisi, dolayısıyla renklerinde meydana gelen değişimler (ΔL*, Δa*, Δb*, ΔC*, ΔH*, ΔE) belirlenmiş ve daha sonra bu değerler farklı topolojilerde yapay sinir ağları (YSA) kullanılarak tahmin edilmeye çalışmıştır. Yapılan çalışma sonucunda kurulan YSA modellerinin, apre uygulamaları ve diğer üretim proseslerine bağlı olarak, boyanmış kumaşta meydana gelebilecek renk değişimlerinin tahmininde kullanılabileceğini göstermektedir

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Cite This Article

BALCI, O., OĞULATA, R. T. (2009). PREDICTION OF CIELab VALUES AND COLOR CHANGING OCCURRED AFTER CHEMICAL FINISHING APPLICATIONS BY ARTIFICIAL NEURAL NETWORKS ON DYED FABRICS. Textile and Apparel, Cilt: 19 Sayı: 1, 61–69. https://ajindex.com/articles/943945

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