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首页> 外文会议>Application of Automation Technology in Fatigue and Fracture Testing and Analysis >Automated Real Time Correction of Motion Induced Dynamic Load Errors in the Force Readout of a Test Apparatus
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Automated Real Time Correction of Motion Induced Dynamic Load Errors in the Force Readout of a Test Apparatus

机译：测试设备力读数中运动引起的动态负载误差的自动实时校正

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摘要

In mechanical testing, it is often important to understand the dynamic characteristics of the test system to assess if there could be any error in the indicated force readout induced by the motions of the system. That these errors exist is readily apparent for load sensors which are mounted on the actuator; the actuator is expected to move during the course of the test. What may be less obvious is that these errors also exist in load measurements taken on the "grounded" side of a sample. Methods have been developed (such as ASTM E467-08e1) for the assessment and correction of these errors; however, these methods can be time consuming to implement. In some cases, they may not be practical or even possible (e.g., placing strain gauges on a biological sample). Existing methods using accelerometers to predict acceleration induced load have been used for some time. What is presented are a set of approaches to increase the simplicity and reliability of using acceleration sensors to address dynamic load errors. Using various modes of stimulation of the system, software algorithms are used to assess the correct compensation factors to use for both magnitude and phase of the acceleration signal, as a function of frequency. This has the additional benefit of allowing the use of load and acceleration sensors which may not be ideally phase matched. These methods also allow stimulation of both motor mounted load sensors as well as frame mounted sensors.
机译：在机械测试中，了解测试系统的动态特性以评估由系统的运动引起的指示力读数中是否可能存在任何错误通常很重要。对于安装在执行器上的负载传感器来说，存在这些错误是显而易见的。在测试过程中，预计执行器会移动。可能不太明显的是，这些误差也存在于样本“接地”侧的负载测量中。已经开发了评估和纠正这些错误的方法（例如ASTM E467-08e1）；但是，实现这些方法可能很耗时。在某些情况下，它们可能不切实际甚至不可行（例如，将应变仪放在生物样品上）。使用加速度计来预测加速度引起的负载的现有方法已经使用了一段时间。提出了一组方法来提高使用加速度传感器解决动态负载错误的简单性和可靠性。使用系统的各种激励模式，软件算法用于评估正确的补偿因子，该补偿因子可用于加速度信号的幅度和相位，并作为频率的函数。这具有允许使用可能不是理想相位匹配的负载和加速度传感器的额外好处。这些方法还可以刺激安装在电动机上的负载传感器和安装在框架上的传感器。

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