首页> 外文会议>International Manufacturing Engineering Conference >Sliding Wear Response of Beryl Reinforced Aluminum Composite - A Factorial Design Approach
【24h】

Sliding Wear Response of Beryl Reinforced Aluminum Composite - A Factorial Design Approach

机译:Beryl加筋铝合金复合材料的滑动磨损 - A因子设计方法

获取原文

摘要

Al-Beryl MMCs were successfully fabricated using powder metallurgy route. Processing conditions such as beryl content and particle size were varied and its influence on dry sliding wear response was studied. Effect of test parameters like applied load and sliding distance on wear performance of Al-Beryl MMCs were discussed detail. Sliding wear tests were conducted using a pin on disc machine based on the 2~4 (4 factors at 2 levels) factorial design. Analysis of variance (ANOVA) was performed to obtain the contribution of control parameters on wear rate. The present study shows that wear resistance of Al-beryl MMCs not only depends on the beryl content but also influenced by normal load, sliding distance and particle size. The results show mat most significant variables affecting wear rate of Al.- beryl MMCs are size of the beryl particles (22%), beryl content (19.60%), sliding distance (18.47%), and normal load (10.30%). The interaction effects of these parameters are less significant in influencing wear rate compared to the individual parameters. The correlation between sliding wear and its parameters was obtained by multiple regression analysis. Regression model developed in the present study can be successfully implemented to predict the wear response of Al-Beryl MMCs.
机译:使用粉末冶金途径成功制造了Al-Beryl MMC。改变了诸如Beryl含量和粒度的加工条件,并研究了其对干滑动磨损反应的影响。讨论了测试参数的效果,如施加的载荷和Al-BerylMMCS的磨损性能的滑动距离。使用基于2〜4(2个级别的4个因素)的圆盘机上的销钉进行滑动磨损试验。进行差异分析(ANOVA)以获得对照参数对磨损率的贡献。本研究表明,Al-Beryl MMC的耐磨性不仅取决于Beryl含量,还取决于正常负载,滑动距离和粒度的影响。结果表明,影响Al.- Beryl MMC的磨损率的最显着变量是Beryl颗粒(22%),Beryl含量(19.60%),滑动距离(18.47%)和正常负荷(10.30%)的大小。与各个参数相比,这些参数的相互作用效果在影响磨损率时不太显着。通过多元回归分析获得滑动磨损及其参数之间的相关性。可以成功实施本研究中开发的回归模型以预测Al-Beryl MMC的磨损响应。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号