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Estimating Mechanical Tensile Strength of Single Fiber Composites by Adopting Multiple Linear Regression

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  • Muhammad Nasrun Faris Mohd Zulkifli

    (Textile Research Group, Faculty of Applied Sciences, Universiti Teknologi MARA, Shah Alam, 40450 Selangor, Malaysia.)

  • Mohamad Faizul Yahya

    (Midwest Composites Sdn Bhd, Bandari Sri Sendayan, Seremban, 71950 Negeri Sembilan, Malaysia.)

Abstract

The determination of mechanical tensile strength in polymer fiber composites is crucial for classifying their fundamental strength performance. Beyond physical examination tests, statistical analysis can estimate potential tensile strength behavior based on previous experimental data. This study employed a multiple linear regression method to identify the most significant independent variables affecting tensile strength. The results indicated that there are two factors plays a major role; composite density and fiber volume fraction. A mathematical equation was derived to predict future tensile strength behavior, and validation findings demonstrated that the equation could calculate tensile strength with up to 99% accuracy.

Suggested Citation

  • Muhammad Nasrun Faris Mohd Zulkifli & Mohamad Faizul Yahya, 2024. "Estimating Mechanical Tensile Strength of Single Fiber Composites by Adopting Multiple Linear Regression," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(11), pages 3008-3014, November.
    • Handle: RePEc:bcp:journl:v:8:y:2024:i:11:p:3008-3014
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