TY - JOUR
T1 - Water Absorption Behavior of Date Palm Fruit Branches Fiber (DPF) Composites
T2 - Experimental and Statistical Analyses
AU - Slamani, Mohamed
AU - Amroune, Salah
AU - Benyettou, Riyadh
AU - Fouad, Hassan
AU - Jawaid, Mohammad
AU - Khiari, Ramzi
N1 - Publisher Copyright:
© 2024 The Author(s). Published with license by Taylor & Francis Group, LLC.
PY - 2024
Y1 - 2024
N2 - The environmental effects on the response of Date Palm Fiber (DPF) composites are explored through an in-depth analysis of water absorption behavior. This study comprehensively investigates the influence of fiber content, immersion time, and water type on mass gain. Rigorous experimentation and advanced statistical analyses quantify the percent contribution of each factor, emphasizing the dominant role of fiber content at 96.61%. While immersion time and water type contribute relatively smaller percentages (2.11% and 1.28%, respectively), their insights are invaluable for tailored composite design. The study extends to interaction effects, showcasing the combined influence of factors. Regression models, progressing from linear and reciprocal formulations to comprehensive global models, are developed. Meticulous examination of prediction accuracy, using diverse statistical metrics, highlights the superior performance of the global reciprocal model across different water types. This work provides essential insights for optimizing DPF composite design, fabrication, and application, empowering engineers and researchers to make informed decisions in industries demanding tailored water absorption behavior.
AB - The environmental effects on the response of Date Palm Fiber (DPF) composites are explored through an in-depth analysis of water absorption behavior. This study comprehensively investigates the influence of fiber content, immersion time, and water type on mass gain. Rigorous experimentation and advanced statistical analyses quantify the percent contribution of each factor, emphasizing the dominant role of fiber content at 96.61%. While immersion time and water type contribute relatively smaller percentages (2.11% and 1.28%, respectively), their insights are invaluable for tailored composite design. The study extends to interaction effects, showcasing the combined influence of factors. Regression models, progressing from linear and reciprocal formulations to comprehensive global models, are developed. Meticulous examination of prediction accuracy, using diverse statistical metrics, highlights the superior performance of the global reciprocal model across different water types. This work provides essential insights for optimizing DPF composite design, fabrication, and application, empowering engineers and researchers to make informed decisions in industries demanding tailored water absorption behavior.
KW - Date palm fiber
KW - composite
KW - mass gain
KW - predictive accuracy
KW - reciprocal model
KW - regression model
KW - water absorption
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U2 - 10.1080/15440478.2024.2375530
DO - 10.1080/15440478.2024.2375530
M3 - Article
AN - SCOPUS:85198423860
SN - 1544-0478
VL - 21
JO - Journal of Natural Fibers
JF - Journal of Natural Fibers
IS - 1
M1 - 2375530
ER -