• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Materials Science and Engineering. A, Structural Materials >Evaluation of static and dynamic fracture toughness using apparent fracture toughness of notched specimen
【24h】

Evaluation of static and dynamic fracture toughness using apparent fracture toughness of notched specimen

机译：使用缺口试样的表观断裂韧性评估静态和动态断裂韧性

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this study, intrinsic static/dynamic fracture toughness of Al 7175-T74 and 17-4PH casting steel are evaluated from the apparent static/dynamic fracture toughness of notched specimen. Fracture toughness tests are conducted using an instrumented impact and three-point bending testers. The critical average stress fracture model is used to establish the relationship to predict the intrinsic fracture toughness from the apparent fracture toughness of a notched-cracked specimen. The critical average stress fracture model is suggested using the relationship between the notch root radius and the effective distance calculated by FE analysis. The results show that fracture toughness decreases as the notch root radius decreases until a limiting of critical radius. However, fracture toughness is independent of notch root radius below the limiting critical notch root radius. It is concluded that the true fracture toughness can be predicted from test results of apparent fracture toughness measured by using a notched specimen. Also, with the critical average stress fracture model, the equation predicting relation of notch root radius and apparent fracture toughness can be calculated.
机译：在这项研究中，从带缺口试样的表观静态/动态断裂韧性评估了Al 7175-T74和17-4PH铸钢的固有静态/动态断裂韧性。断裂韧性测试使用仪器化的冲击和三点弯曲测试仪进行。临界平均应力断裂模型用于建立关系，从而根据缺口裂纹试样的表观断裂韧性预测固有断裂韧性。利用缺口根半径与有限元分析计算出的有效距离之间的关系，提出了临界平均应力断裂模型。结果表明，断裂韧性随着缺口根半径的减小而减小，直到临界半径的极限为止。但是，断裂韧性与低于极限临界缺口根半径的缺口根半径无关。结论是，可以通过使用缺口试样测量的表观断裂韧性的测试结果来预测真实的断裂韧性。而且，利用临界平均应力断裂模型，可以计算出预测缺口根半径与表观断裂韧性的关系的方程式。

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