Journals / Tekstil ve Mühendis / 2026 / Cilt: 30 Sayı: 131

DIGITALISED NONWOVEN MANUFACTURING FOR REDUCED ENERGY CONSUMPTION AND EFFICIENT PRODUCTION RATES

M Murat Peksen(Technische Universität München, School of Engineering and Design, Munich, Germany)
Cevza Candan(Istanbul Technical University, Textile Engineering Department, İstanbul, Turkey)
Fatma Banu Nergis(Istanbul Technical University, Textile Engineering Department, İstanbul, Turkey)
Pages
226–230
Publication Date
2023-09-30
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AI Summary & Key Takeaways

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

For this purpose, a systematic approach comprising experimental measurements and emerging digital technologies is used. nonwoven manufacturing machine park results have been used for the benchmark study.

📌 3 Key Takeaways

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Objective & Hypothesis:The requirements placed on the textile industry are changing drastically.
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Key Findings & Data:Zero-emission targets for 2030 and beyond require cross-sectoral changes.
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Conclusion & Impact:For this purpose, a systematic approach comprising experimental measurements and emerging digital technologies is used. nonwoven manufacturing machine park results have been used for the benchmark study.
🔬Design:Araştırma Makalesi
📍Scope:2030 Verileri
⚙️Variables:Nonwoven · Multiphysics · Digitalisation

Abstract

The requirements placed on the textile industry are changing drastically. Zero-emission targets for 2030 and beyond require cross-sectoral changes. This also challenges the textile industry to find viable all-in solutions that satisfy social, economic, and sustainable requirements. Currently, the use of textiles in transdisciplinary sectors demands a high level of tailor-made solutions. This requires a broad understanding of the processed materials, complex multiphysics as well as machine settings. Hence, to consolidate high production rates with optimal energy consumption and the use of sustainable resources, systematic research and product development need to be pursued. The digitalisation of research and production in the textile industry aids to close the gap between the complex production processes and the quality measure of the end products. For this purpose, a systematic approach comprising experimental measurements and emerging digital technologies is used. nonwoven manufacturing machine park results have been used for the benchmark study.

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Cite This Article

Peksen, M. M., Candan, C., Nergis, F. B., Koyuncu, B. (2023). DIGITALISED NONWOVEN MANUFACTURING FOR REDUCED ENERGY CONSUMPTION AND EFFICIENT PRODUCTION RATES. Tekstil ve Mühendis, Cilt: 30 Sayı: 131, 226–230. https://doi.org/10.7216/teksmuh.1365862

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References (2)

  1. Peksen, M. (2022). Artificial Intelligence-Based Machine Learning toward the Solution of Climate-Friendly Hydrogen Fuel Cell Electric Vehicles. Vehicles 4, 663–680.
  2. All references were included within the file of manuscript.