Response Surface Methodology-Based Optimization of AZ91 Composites Reinforced with Short Carbon Fibers for Enhanced Mechanical and Wear Properties

This study aims to enhance the mechanical and wear properties of AZ91 magnesium alloy by reinforcing it with 23 vol.% short carbon fibers (SCFs) aligned in normal (AZ91C-N) and parallel (AZ91C-P) orientations via squeeze-casting. The microstructure and elemental distribution maps were analyzed using an advanced SEM-EDS system. A response surface methodology (RSM) based on a Face-Centered Composite Design (FCCD) was employed to optimize the properties under varying temperature (20–300 °C) and wear load (1–5 N) conditions. The ultimate compressive strength (UCS), yield strength (YS), reduction in height at fracture (Fr), reduction in height at maximum stress (Sr), volume loss, and wear rate were analyzed and optimized. ANOVA confirmed the significant influence of the experimental parameters. A statistical model was developed, with validation showing deviations less than 0.05. The optimized conditions resulted in a UCS of 253 MPa, a YS of 193 MPa, an Fr of 26.1%, an Sr of 21.7%, a volume loss of 0.066 cm3, and a wear rate of 840 cm3/m. The worn surface and surface roughness were also investigated and discussed. The orientation of SCFs significantly influenced wear resistance and surface roughness. This study demonstrates the effectiveness of RSM in optimizing AZ91-SCF composites for high-performance applications.

Authors

Institutions

Publication Details

Journal
Processes
Published
2025-05-28
DOI
https://doi.org/10.3390/pr13061697
Citations
4
Primary Topic
Aluminum Alloys Composites Properties
Type
article
Field-Weighted Citation Impact
2.85

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Response Surface Methodology-Based Optimization of AZ91 Composites Reinforced with Short Carbon Fibers for Enhanced Mechanical and Wear Properties

Rana G. Eid, Ashraf Bakkar, Ramy A. Fouad, Mohamed M. El-Sayed Seleman et al.
4 citations
Processes
Aluminum Alloys Composites Properties
2.85
article

Response Surface Methodology-Based Optimization of AZ91 Composites Reinforced with Short Carbon Fibers for Enhanced Mechanical and Wear Properties

Rana G. Eid, Ashraf Bakkar, Ramy A. Fouad, Mohamed M. El-Sayed Seleman, Sabbah Ataya, Nashmi H. Alrasheedi, Ahmed Ataya
article en
4 citations

Abstract

This study aims to enhance the mechanical and wear properties of AZ91 magnesium alloy by reinforcing it with 23 vol.% short carbon fibers (SCFs) aligned in normal (AZ91C-N) and parallel (AZ91C-P) orientations via squeeze-casting. The microstructure and elemental distribution maps were analyzed using an advanced SEM-EDS system. A response surface methodology (RSM) based on a Face-Centered Composite Design (FCCD) was employed to optimize the properties under varying temperature (20–300 °C) and wear load (1–5 N) conditions. The ultimate compressive strength (UCS), yield strength (YS), reduction in height at fracture (Fr), reduction in height at maximum stress (Sr), volume loss, and wear rate were analyzed and optimized. ANOVA confirmed the significant influence of the experimental parameters. A statistical model was developed, with validation showing deviations less than 0.05. The optimized conditions resulted in a UCS of 253 MPa, a YS of 193 MPa, an Fr of 26.1%, an Sr of 21.7%, a volume loss of 0.066 cm3, and a wear rate of 840 cm3/m. The worn surface and surface roughness were also investigated and discussed. The orientation of SCFs significantly influenced wear resistance and surface roughness. This study demonstrates the effectiveness of RSM in optimizing AZ91-SCF composites for high-performance applications.

ProcessesVol. 13(6)
Suez University (EG), Umm al-Qura University (SA), Imam Mohammad ibn Saud Islamic University (SA), Texas A&M University (US)
Al-Imam Muhammad Ibn Saud Islamic University
Openalex Percentile: Top 10%
Aluminum Alloys Composites Properties
2.85
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.