基于ANSYS的电涡流传感器静动态自动校准系统设计

Design of an Automatic Static and Dynamic Calibration System for Eddy Current Sensors Based on ANSYS

摘要: 电涡流传感器实现距离的测量是基于法拉第电磁感应的原理。根据法拉第电磁感应原理，置于磁场中的金属表面在磁通量发生变化时，金属表面会产生感应电流以抵抗该金属表面磁通的变化，此感应电流称作为电涡流，这一现象称为电涡流效应，电涡流传感器就是利用该效应，将被测的非电量转换成电参数。在长期使用过程中，电涡流传感器可能会因为老化或者受客观环境的影响，指示值会出现很大的误差甚至错误，所以需要根据电涡流传感器的性能定期的对其进行动态或者静态校准，及时发现并处理电涡流传感器存在的问题。目前的电涡流传感器静动态校准存在校准精度差、量程短、自动化程度低等问题。为了提高电涡流传感器静动态校准精度，在进行校准装置的设计时采用ANSYS软件对其零部件进行仿真优化，同时引入自动化设备提高校准的自动化水平。

Abstract: Eddy current sensors are used for distance measurement based on the principle of Faraday's electromagnetic induction. According to Faraday’s principle of electromagnetic induction, when the magnetic flux of a metal surface placed in a magnetic field change, an induced current is generated on the metal surface to resist the change in magnetic flux. This induced current is called an eddy current, and this phenomenon is called the eddy current effect. Eddy current sensors utilize this effect to convert the measured non-electrical quantity into an electrical parameter. During long-term use, eddy current sensors may experience significant errors or even erroneous readings due to aging or the influence of the objective environment. Therefore, it is necessary to periodically perform dynamic or static calibration on the eddy current sensors according to their performance to promptly identify and address any problems. Current static and dynamic calibration methods for eddy current sensors suffer from poor calibration accuracy, short measurement range, and low automation. To improve the static and dynamic calibration accuracy of eddy current sensors, ANSYS software was used to simulate and optimize the components during the design of the calibration device. Simultaneously, automated equipment was introduced to enhance the automation level of the calibration process.