<p>Aluminum-based matrix composites manufactured through powder metallurgy are seeing growing demand in the aerospace and defense sectors. AA7075 with different weight percentages of B<sub>4</sub>C (0%, 5%, 10%, and 15%) were fabricated using a floating die and tested to detect their density, porosity, and mechanical and tribological characteristics. Additionally, the impact of four factors, including B<sub>4</sub>C weight percentage (5%, 10%, and 15%), sliding speed (1 m/s, 1.5 m/s, and 2 m/s), load (10 N, 15 N, and 20 N), and sliding distance (500 m, 1000 m, and 1500 m), on the wear characteristics of AA7075/B<sub>4</sub>C composites were studied. The design of experiments was conducted using an L9 orthogonal array. The analysis was conducted using response surface methodology, ANOVA, and Taguchi to detect the ideal parameters for reducing the wear. The study unveiled homogeneous distribution and robust matrix-reinforcement interfacial bonding between B<sub>4</sub>C and AA7075. Furthermore, the failure models of the composites were uniform across all the specimens. Notably, compared to earlier studies, the composite reinforced with 5% of B<sub>4</sub>C exhibited a substantial 18.94% (410 MPa) increase in compressive strength,12.85% reduction in weight (2.49 g/ml), and 88.9% reduction in wear loss (4.01 µm). Additionally, it revealed that sliding distance (68.67%) had the greatest influence on wear loss, ranked next were sliding speed (22.1%), B<sub>4</sub>C% (5.75%), and load (3.48). In contrast, the coefficient of friction (COF) was affected by B<sub>4</sub>C% (54.95%), and ranked next were sliding distance (22.89%), load (16.75%), and sliding speed (5.41%). The achieved improvements in strength, wear resistance, and weight reduction make the AA7075/5% B<sub>4</sub>C composite highly desirable for aerospace, defense, and automotive applications. Additionally, the mathematical models for wear and COF that have been developed in this work reduce time, enhance optimization efficiency, and eliminate the need for costly trials.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Investigation of Microstructure, Mechanical, and Tribological Behaviors of AA7075 Reinforced with B4C Composites Developed Through Floating Die

  • Ameen Al Njjar,
  • Kamar Mazloum,
  • Amit Sata

摘要

Aluminum-based matrix composites manufactured through powder metallurgy are seeing growing demand in the aerospace and defense sectors. AA7075 with different weight percentages of B4C (0%, 5%, 10%, and 15%) were fabricated using a floating die and tested to detect their density, porosity, and mechanical and tribological characteristics. Additionally, the impact of four factors, including B4C weight percentage (5%, 10%, and 15%), sliding speed (1 m/s, 1.5 m/s, and 2 m/s), load (10 N, 15 N, and 20 N), and sliding distance (500 m, 1000 m, and 1500 m), on the wear characteristics of AA7075/B4C composites were studied. The design of experiments was conducted using an L9 orthogonal array. The analysis was conducted using response surface methodology, ANOVA, and Taguchi to detect the ideal parameters for reducing the wear. The study unveiled homogeneous distribution and robust matrix-reinforcement interfacial bonding between B4C and AA7075. Furthermore, the failure models of the composites were uniform across all the specimens. Notably, compared to earlier studies, the composite reinforced with 5% of B4C exhibited a substantial 18.94% (410 MPa) increase in compressive strength,12.85% reduction in weight (2.49 g/ml), and 88.9% reduction in wear loss (4.01 µm). Additionally, it revealed that sliding distance (68.67%) had the greatest influence on wear loss, ranked next were sliding speed (22.1%), B4C% (5.75%), and load (3.48). In contrast, the coefficient of friction (COF) was affected by B4C% (54.95%), and ranked next were sliding distance (22.89%), load (16.75%), and sliding speed (5.41%). The achieved improvements in strength, wear resistance, and weight reduction make the AA7075/5% B4C composite highly desirable for aerospace, defense, and automotive applications. Additionally, the mathematical models for wear and COF that have been developed in this work reduce time, enhance optimization efficiency, and eliminate the need for costly trials.