Analyzing the Role of Fiber Composition in Drying Behavior: A Comparative and Predictive Approach

Year : 2025 | Volume : 13 | Issue : 05 | Page : 1 11
    By

    Avi Sahal,

  • Manoj Soni,

  • Meera Parida,

  • Pratitee Satpathy,

  • Srishti Narayan Yadav,

  1. Scholars, Department of Mechanical and Automation Engineering, Indira Gandhi Delhi Technical University for Women, New Delhi, India
  2. Professor, Department of Mechanical and Automation Engineering, Indira Gandhi Delhi Technical University for Women, New Delhi, India
  3. Scholars, Department of Mechanical and Automation Engineering, Indira Gandhi Delhi Technical University for Women, New Delhi, India
  4. Scholars, Department of Mechanical and Automation Engineering, Indira Gandhi Delhi Technical University for Women, New Delhi, India
  5. Scholars, Department of Mechanical and Automation Engineering, Indira Gandhi Delhi Technical University for Women, New Delhi, India

Abstract

This research presents a comprehensive analysis of the drying behavior and thermal response of three distinct fabric types: 100% Cotton, 100% Polyester, and a Polyester blend (65/35), under meticulously controlled environmental conditions. The Polyester blend (65/35) consists of 65% Polyester and 35% Cotton, combining characteristics of both fibers. The investigation focuses on understanding how fiber composition impacts drying time, moisture retention, and thermal characteristics. Experimental trials were conducted using standardized protocols, with environmental parameters such as temperature and humidity precisely regulated and monitored through calibrated sensors. A full-factorial experimental design was implemented to examine drying performance across 48 conditions, considering temperature ranges from 12°C to 34°C and relative humidity from 30% to 75%. Each condition was tested in triplicate, resulting in 144 experimental samples. A Random Forest regression model was employed to analyze the influence of key variables on drying time, trained on 100 experimental data points and validated with 10-fold cross-validation, yielding a mean absolute error of less than 5%. The model further generated 500 synthetic data points to explore extended scenarios. Findings reveal that Polyester exhibited the fastest drying and lowest heat retention due to its hydrophobic properties, while Cotton retained the most moisture and heat, resulting in significantly longer drying times. The Polyester blend (65/35) demonstrated intermediate characteristics. Temperature emerged as the most significant factor, with each 1°C increase reducing drying time by approximately 1.83 minutes. Cotton dried 11.94 minutes slower than the blend, whereas Polyester was 12.70 minutes faster under identical conditions. This study highlights the integration of experimental methodology with machine learning to better understand fabric drying dynamics. The results are valuable for optimizing textile material selection and developing energy-efficient, intelligent drying systems in modern textile applications.

Keywords: Fabric drying, cotton, polyester, polyester blend, moisture retention, drying time.

[This article belongs to Journal of Polymer & Composites ]

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How to cite this article:
Avi Sahal, Manoj Soni, Meera Parida, Pratitee Satpathy, Srishti Narayan Yadav. Analyzing the Role of Fiber Composition in Drying Behavior: A Comparative and Predictive Approach. Journal of Polymer & Composites. 2025; 13(05):1-11.
How to cite this URL:
Avi Sahal, Manoj Soni, Meera Parida, Pratitee Satpathy, Srishti Narayan Yadav. Analyzing the Role of Fiber Composition in Drying Behavior: A Comparative and Predictive Approach. Journal of Polymer & Composites. 2025; 13(05):1-11. Available from: https://journals.stmjournals.com/jopc/article=2025/view=222184


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Regular Issue Subscription Original Research
Volume 13
Issue 05
Received 14/04/2025
Accepted 24/04/2025
Published 19/07/2025
Publication Time 96 Days
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