Investigation on the Mechanical Behavior of Date Palm Fibers Reinforced Composites: Predictive Modelling Using Artificial Neural Networks (ANNs)
This paper aims to strengthen composites by treated and untreated date palm fibers (PDF), with sodium hydroxide (NaOH), for light applications. With 75% cellulose content and a density of 1.2 g/cm3, the palm fibers were exposed to a preparatory treatment with 1.5% NaOH for 24 h prior to integration...
Saved in:
| Main Authors: | Hocine Makri, Salah Amroune, Moussa Zaoui, Khalissa Saada, Mohammad Jawaid, Yasemin Seki, Bilal Aichouche, Hassan Fouad, Imran Uddin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
|
| Series: | Journal of Natural Fibers |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/15440478.2024.2396899 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Prediction of mechanical behavior of epoxy polymer using Artificial Neural Networks (ANN) and Response Surface Methodology (RSM)
by: Khalissa Saada, et al.
Published: (2023-10-01) -
SiC含量对SiCp/Al复合材料摩擦性能的影响
by: 徐保海, et al.
Published: (2022-02-01) -
Experimental Analysis of Hybrid Panels Combining Flax/PLA Composite with UHMWPE and Steel Under Ballistic Impact
by: Liu Jiao-Wang, et al.
Published: (2025-12-01) -
高导热金属基复合材料的制备与研究进展
by: 陈贞睿, et al.
Published: (2022-02-01) -
An Experimental Study on the Hardness, Inter Laminar Shear Strength, and Water Absorption Behavior of Habeshian Banana Fiber Reinforced Composites
by: Kiran Shahapurkar, et al.
Published: (2024-12-01)