通过使用TOPSIS和GRA进行多标准决策来优化冲刷表面的tribological特性
Andrzej Dzierwa1, Izabela Miturska-Barańska2
1Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, Powstancow Warszawy 8 Street, 35-959 Rzeszow, Poland.
Materials (Basel, Switzerland)
|August 28, 2025
概括
这项研究使用灰色关系分析 (GRA) 和TOPSIS优化了三元测试参数. 这两种方法都确定了减少摩擦节点磨损,摩擦和减重的最佳条件.
科学领域:
- 材料科学
- 机械工程
- 部落学
背景情况:
- 对于了解材料的磨损和摩擦来说,tribological测试至关重要.
- 优化输入参数 (负载,速度,距离) 对于性能至关重要.
- 多标准决策 (MCDM) 方法提供了强大的分析框架.
研究的目的:
- 使用GRA和TOPSIS进行比较分析.
- 确定最佳的输入参数组合,以减少磨损,摩擦和减重.
- 评估GRA和TOPSIS在 tribological优化中的有效性.
主要方法:
- 进行了球对盘的三角学测试.
- 用灰色关系分析 (GRA) 和TOPSIS进行数据分析.
- 评估了输入参数 (负载,速度,距离) 和输出标准 (体积磨损,CoF,体重减轻).
主要成果:
- GRA和TOPSIS都发现了类似的最佳参数组合.
- 最好的解决方案显示了较低的体积磨损,摩擦系数和体重减轻.
- 这些方法表现出很好的一致性,其中一些微小的差异归因于不同的算法.
结论:
- GRA和TOPSIS是有效的三元学数据分析工具.
- 这些MCDM方法的联合应用为优化摩擦节点条件提供了强大的方法.
- 这项研究强调了材料性能对参数优化的重要性.
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