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Journals / Textile and Apparel / 2026 / Volume: 36 Issue: 3

Analysis on Maximum Force at Break of Multicomponent Yarns using Response Surface Methodology

Md. Azharul Islam(Indian Institute of Technology Delhi)0000-0002-8521-0765
Rochak Rathour(Indian Institute of Technology Delhi)0000-0001-7522-2458
Bipin Kumar(Indian Institute of Technology Delhi)0000-0002-9754-8210
Apurba Das(Indian Institute of Technology Delhi)0000-0002-8134-5064
Nandan Numar(Indian Institute of Technology Delhi)0000-0001-6467-2947
Pages
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Publication Date
2026-10-15
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AI Summary & Key Takeaways

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

These findings offer actionable insights for enhancing the performance of hybrid yarns in cut, slash, stab and impact resistant applications.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The need for high-performance textiles with superior mechanical strength necessitates the analysis of hybrid yarn structures.
📊
Key Findings & Data:ANOVA confirmed the significance of UHMWPE and TPM, with 200 TPM, 400 Den UHMWPE, and 50 µm SS achieving an MFB of ~85-90 N.
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Conclusion & Impact:These findings offer actionable insights for enhancing the performance of hybrid yarns in cut, slash, stab and impact resistant applications.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Box-Behnken Design · Multi-component yarn · Stainless steel yarn

Abstract

The need for high-performance textiles with superior mechanical strength necessitates the analysis of hybrid yarn structures. This study investigates the maximum force at break (MFB) of multicomponent hybrid yarn. The hybrid yarn, comprising three components where ultra-high molecular weight polyethylene (UHMWPE) as outermost sheath, stainless steel (SS) in core, a polyester as middle layer. Key parameters—UHMWPE linear density, SS (µm), and twist per meter (TPM)—were analyzed for their impact on MFB. ANOVA confirmed the significance of UHMWPE and TPM, with 200 TPM, 400 Den UHMWPE, and 50 µm SS achieving an MFB of ~85-90 N. The quadratic regression model provided an excellent fit (R² = 0.9966, adjusted R² = 0.9904, predicted R² = 0.9454) and predictive accuracy demonstrated by an average of 2.25% relative error. These findings offer actionable insights for enhancing the performance of hybrid yarns in cut, slash, stab and impact resistant applications.

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Cite This Article

Islam, M. A., Rathour, R., Kumar, B., Das, A., Numar, N. (2026). Analysis on Maximum Force at Break of Multicomponent Yarns using Response Surface Methodology. Textile and Apparel, Volume: 36 Issue: 3. https://doi.org/10.32710/tekstilvekonfeksiyon.1656954

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