Abstract

Impact flexure and indentation of metals is considered. A test bench for failure assessment is developed, for the example of steel 45 at low temperatures. In this method, acoustic emission pulses are classified; an artificial neural network is employed. The fractographic data for impact flexure correlate well with the results of pulse recognition.

中文翻译：

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通过压痕和声发射分析评估金属的低温强度

摘要

考虑了金属的弯曲挠曲和压痕。开发了用于失效评估的测试台，例如低温下的45钢。用这种方法对声发射脉冲进行分类；采用了人工神经网络。冲击挠曲的分形数据与脉冲识别结果具有很好的相关性。