Research Article
Experimental Analysis on Synergistic of Alkaline Treated Enset-Bamboo/ Polyester Hybrid Composite Using Grey Relational Analysis
Abera Ayza Anebo*
,
Mubarek Sebre,
Temesgen Hailegiorgis
Issue:
Volume 12, Issue 2, June 2026
Pages:
38-50
Received:
18 August 2026
Accepted:
27 August 2026
Published:
18 September 2026
Abstract: This study investigates the mechanical performance and synergistic optimization of hybrid composites reinforced with alkaline-treated Enset and bamboo fibers within an unsaturated polyester matrix. To enhance interfacial adhesion, both natural fibers were subjected to a 55% sodium hydroxide (NaOH) surface treatment to remove amorphous impurities and expose reactive cellulose hydroxyl groups. Bamboo provides exceptional stiffness and tensile strength due to its high cellulose content and dense vascular bundles, while Enset fibers contribute enhanced impact resistance, flexibility, and elongation at break. Hybridization synergistically balances brittleness and flexibility. Both Enset and bamboo are rapidly renewable, eco-friendly plant resources. Unlike synthetic glass or carbon fibers, which are petroleum derived and persist in landfills, the natural fibers in this hybrid composite significantly reduce the carbon footprint and enhance the end-of-life biodegradability of the material. Utilizing a Taguchi-based Design of Experiments (DoE) coupled with Grey Relational Analysis (GRA) and Analysis of Variance (ANOVA), the study evaluates the influence of key fabrication parameters such as fiber weight fractions and stacking configurations on ultimate tensile strength, flexural modulus, impact resistance, and moisture absorption. From Taguchi analysis the optimized multi-response enset-bamboo/polyester fiber hybrid composite parameters was achieved by using the parameters are enset fiber (25%), bamboo fiber (20%), and polyester (55%) and the optimized hybrid composite formulation demonstrates superior multi-objective performance, highlighting its viability as an eco-friendly, lightweight structural substitute for traditional synthetic composites in engineering applications.
Abstract: This study investigates the mechanical performance and synergistic optimization of hybrid composites reinforced with alkaline-treated Enset and bamboo fibers within an unsaturated polyester matrix. To enhance interfacial adhesion, both natural fibers were subjected to a 55% sodium hydroxide (NaOH) surface treatment to remove amorphous impurities an...
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Research Article
Simultaneous Optimization of Manufacturing Variables for 3D-Printed PETG Prototypes Leveraging
Taguchi-Coupled Grey Relational Approach
Abera Ayza Anebo*,
Temesgen Hailegiorgis Abebe,
Devendra Kumar Sinha
Issue:
Volume 12, Issue 2, June 2026
Pages:
51-70
Received:
8 August 2026
Accepted:
24 August 2026
Published:
22 September 2026
DOI:
10.11648/j.ajpst.20261202.12
Downloads:
Views:
Abstract: This study investigates the optimization of Fused Deposition Modeling (FDM) parameters for Polyethylene Terephthalate Glycol (PETG) a material widely utilized in clinical and biomedical applications due to its favorable combination of lightweight properties, durability, and versatility. By applying a Grey-Taguchi methodology, the research systematically addresses how manufacturing variables influence mechanical performance, specifically focusing on tensile and compressive strength. Through rigorous signal-to-noise (S/N) ratio evaluations, the investigation identified the optimal parameter settings for individual mechanical properties. For tensile strength, a peak performance of 48.264MPa was achieved using level 1 extrusion temperature, a 55% infill density, and a printing speed of 20mm/s. Conversely, maximizing compressive strength to 47.762MPa required level 1 extrusion temperature, a higher infill density of 60%, and an increased printing speed of 30mm/s. Analysis of Variance (ANOVA) further confirmed that extrusion temperature, infill density, and printing speed all exert a statistically significant influence on these mechanical outcomes. Because biomedical and clinical components often require a balance of multiple mechanical traits, the study utilized Grey Relational Analysis (GRA) to establish a multi-response setting configuration of 1-3-3. This configuration yielded a peak grey relational grade of 1, representing the ideal compromise and overall optimal condition for dual-performance requirements. To ensure reliability, experimental validation tests were conducted. The results showed error margins of 4.01% for tensile strength and 6.14% for compressive strength. Because both error values remain well within acceptable engineering thresholds, the findings successfully verify the efficacy and precision of this optimization framework for additive manufacturing applications.
Abstract: This study investigates the optimization of Fused Deposition Modeling (FDM) parameters for Polyethylene Terephthalate Glycol (PETG) a material widely utilized in clinical and biomedical applications due to its favorable combination of lightweight properties, durability, and versatility. By applying a Grey-Taguchi methodology, the research systemati...
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