用米外增强活性碳的Al7075复合材料的机械性能和预测性tribological建模
Swapna Banoth1, Suresh Babu Valasingam1, Raghavendra Gujjala1
1Department of Mechanical Engineering, National Institute of Technology, Warangal, Telangana, 506004, India.
Scientific reports
|October 10, 2025
概括
这项研究开发了可持续的Al7075金属矩阵复合材料,使用来自大米的活性碳 (AC). 环保的交流钢筋增强了机械性能和耐磨性,证明了对传统材料的可行替代品.
科学领域:
- 材料科学 材料科学 材料科学
- 可持续工程 可持续工程
- 部落学 (tribology) 是一个学科.
背景情况:
- 传统的金属矩阵复合材料经常使用非生态友好的增强剂.
- 作为农业废弃物的米,是活性碳 (AC) 增强的可持续来源.
- 从废物流中开发先进材料符合循环经济原则.
研究的目的:
- 开发一种可持续的Al7075金属基质复合材料,用来自大米皮的生物衍生活性碳 (AC) 加固.
- 为了研究AC含量对Al7075复合材料的微观结构,机械性能和tribological行为的影响.
- 建立基于机器学习的预测框架,用于 tribological 性能.
主要方法:
- 使用超声波混合造制造Al7075复合材料的不同AC含量 (2-8重量%) 的制造.
- 通过光学显微镜 (OM),场发射扫描电子显微镜与能量分散式X射线光谱 (FESEM-EDS) 和X射线衍射 (XRD) 进行微结构分析.
- 机械测试 (硬度,抗拉强度) 和磨料磨损测试;使用梯度增强树和高斯过程回归开发预测模型.
主要成果:
- 在Al7075矩阵中,AC的均分散,没有形成有害的Al4C3.3.
- 在2重%的交流下达到最佳性能,显示硬度增加21%,拉伸强度增加23%.
- 增强的耐磨性和降低的摩擦系数在2重%交流时观察到.
- 机器学习模型显示了对磨损 (R2>0.99) 和摩擦系数 (R2>0.96) 的高预测精度.
结论:
- 来自大米体的活性炭是Al7075金属矩阵复合材料的可行和可持续的增强剂.
- 添加2重%的交流电显著提高了机械和 tribological 性能.
- 数据驱动的机器学习方法为预测和优化材料性能提供了强大的工具,推动了可持续的材料设计.
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