JOURNAL ARTICLE
Optimization of strength properties of bamboo mesoparticles reinforced polyamide 6 using Box–Behnken approach.
Published In: Plastics, Rubber & Composites, 2025, v. 54, n. 1/2. P. 12 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Adel Salih, Abeer; Zulkifli, Rozli; Azhari, Che Husna 3 of 3
Abstract
This article focuses on optimizing the mechanical properties of bamboo mesoparticle-reinforced polyamide 6 (PA6) composites using response surface methodology (RSM) based on the Box–Behnken design (BBD). The study investigates the effects of three independent variables—fiber size, fiber loading, and sodium hydroxide (NaOH) concentration—on tensile and flexural strengths. Results indicate that the optimal tensile strength (approximately 50 MPa) is achieved at 18 wt.% fiber loading, 2 wt.% NaOH concentration, and 1 µm fiber size, while the optimal flexural strength occurs at 13 wt.% fiber loading, 2 wt.% NaOH, and 0.46 µm fiber size. Statistical analysis via analysis of variance (ANOVA) confirmed the significance of these factors, and the developed quadratic models showed strong agreement with experimental data (R² > 0.93), demonstrating that BBD is an effective and economical approach for optimizing natural fiber-reinforced thermoplastic composites.
Additional Information
- Source:Plastics, Rubber & Composites. 2025/03, Vol. 54, Issue 1/2, p12
- Document Type:Article
- Subject Area:Anatomy and Physiology
- Publication Date:2025
- ISSN:1465-8011
- DOI:10.1177/14658011241307934
- Accession Number:183580440
- Copyright Statement:Copyright of Plastics, Rubber & Composites is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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