Comparative bending performance and structural performance of cassava peel ash and coconut husk ash hybrid reinforced Al2O3/AA6063 composites under extreme loading conditions

The growing demand for lightweight, sustainable structural materials continues to drive interest in agro-waste-reinforced AMCs. However, existing studies have largely focused on hardness, tensile strength, and wear behavior, with limited attention to the broader flexural response that governs structural performance under severe bending and extreme loading. The objective of this study is to systematically investigate and compare the flexural behavior, energy dissipation, and progressive damage mechanisms of hybrid cassava peel ash (CPA)/Al 2 O 3 - and coconut husk ash (CHA)/Al 2 O 3 -reinforced AA6063 composites. This study presents a novel, comprehensive flexural assessment that extends beyond conventional strength analysis to simultaneously evaluate flexural strength, modulus, stiffness, strain at failure, deflection, specific energy absorption, work of fracture, and structural performance under severe bending loads for these specific hybrid architectures. The hybrid composites containing a total reinforcement of 10 wt% at varying agro-waste-to-alumina ratios were fabricated via stir casting and evaluated using ASTM D790 three-point bending tests. Key findings reveal that the flexural response is fundamentally governed by the reinforcement architecture. CPA-reinforced composites exhibited superior peak load-bearing capability and structural rigidity, achieving a maximum flexural strength of 329.44 MPa, a flexural modulus of 12.40 GPa, and stiffness of 296.51 N/mm at intermediate reinforcement levels. Conversely, CHA-reinforced composites demonstrated greater deformation accommodation, achieving a strain at failure of 0.21 and a deflection of 11.44 mm. Maximum energy absorption values of 9.87 J (CPA-5) and 8.85 J (CHA-2) were obtained. While balanced hybrid reinforcement provided the most favorable combination of strength, stiffness, fracture resistance, and energy dissipation, excessive replacement of Al 2 O 3 with agro-waste particulates reduced overall structural efficiency. The findings demonstrate that agro-waste/ceramic hybridization can be synergistically tailored to stiffness, strength, damage tolerance, and lightweight structural efficiency for sustainable AMCs in severe bending and extreme loading environments.

Authors

Institutions

Publication Details

Journal
Discover Materials
Published
2026-07-30
DOI
https://doi.org/10.1007/s43939-026-00881-3
Primary Topic
Aluminum Alloys Composites Properties
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative bending performance and structural performance of cassava peel ash and coconut husk ash hybrid reinforced Al2O3/AA6063 composites under extreme loading conditions

Festus Ben, Peter Apata Olubambi, Takalani Madzivhandila
Discover Materials
Aluminum Alloys Composites Properties
article

Comparative bending performance and structural performance of cassava peel ash and coconut husk ash hybrid reinforced Al2O3/AA6063 composites under extreme loading conditions

Festus Ben, Peter Apata Olubambi, Takalani Madzivhandila
article en

Abstract

The growing demand for lightweight, sustainable structural materials continues to drive interest in agro-waste-reinforced AMCs. However, existing studies have largely focused on hardness, tensile strength, and wear behavior, with limited attention to the broader flexural response that governs structural performance under severe bending and extreme loading. The objective of this study is to systematically investigate and compare the flexural behavior, energy dissipation, and progressive damage mechanisms of hybrid cassava peel ash (CPA)/Al 2 O 3 - and coconut husk ash (CHA)/Al 2 O 3 -reinforced AA6063 composites. This study presents a novel, comprehensive flexural assessment that extends beyond conventional strength analysis to simultaneously evaluate flexural strength, modulus, stiffness, strain at failure, deflection, specific energy absorption, work of fracture, and structural performance under severe bending loads for these specific hybrid architectures. The hybrid composites containing a total reinforcement of 10 wt% at varying agro-waste-to-alumina ratios were fabricated via stir casting and evaluated using ASTM D790 three-point bending tests. Key findings reveal that the flexural response is fundamentally governed by the reinforcement architecture. CPA-reinforced composites exhibited superior peak load-bearing capability and structural rigidity, achieving a maximum flexural strength of 329.44 MPa, a flexural modulus of 12.40 GPa, and stiffness of 296.51 N/mm at intermediate reinforcement levels. Conversely, CHA-reinforced composites demonstrated greater deformation accommodation, achieving a strain at failure of 0.21 and a deflection of 11.44 mm. Maximum energy absorption values of 9.87 J (CPA-5) and 8.85 J (CHA-2) were obtained. While balanced hybrid reinforcement provided the most favorable combination of strength, stiffness, fracture resistance, and energy dissipation, excessive replacement of Al 2 O 3 with agro-waste particulates reduced overall structural efficiency. The findings demonstrate that agro-waste/ceramic hybridization can be synergistically tailored to stiffness, strength, damage tolerance, and lightweight structural efficiency for sustainable AMCs in severe bending and extreme loading environments.

Discover Materials
University of Johannesburg (ZA), Federal Polytechnic Ede (NG)
Openalex Percentile: Top 17%
Aluminum Alloys Composites Properties
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.