...
首页> 外文期刊>Mechatronics, IEEE/ASME Transactions on >Magnetization Model and Detection Mechanism of a Microparticle in a Harmonic Magnetic Field
【24h】

Magnetization Model and Detection Mechanism of a Microparticle in a Harmonic Magnetic Field

机译:谐波磁场中微粒的磁化模型和检测机理

获取原文
获取原文并翻译 | 示例
           

摘要

Inductive particle sensors are widely used in online wear condition monitoring. Understanding the behavior of a particle magnetized in an alternating current (ac) magnetic field and the associated sensing mechanism is fundamental to identifying the particle size, improving the detection precision and enhancing the sensor performance. Here, we first establish a particle magnetization model related to particle conductivity, permeability, diameter, and field frequency. Next, an expression for particle detection using inductance is derived that consists of a product of the particle volume, complex particle susceptibility, and particle sensor sensitivity. The derived formulas and experiments reveal that the output of the inductive sensor is a complex number. Therefore, a vector analysis method is proposed for inductive particle detection. The sensitivities of various sensors are discussed. Experiments are conducted using milliparticles and microparticles in various positions relative to sensors. A comparison of the calculation results with the experimental results exhibits satisfactory agreement. Consequently, an optimized rectangular cross-section of coils is proposed. This study provides a theoretical basis for the design and optimization of particle sensors based on magnetic principles.
机译:电感式颗粒传感器广泛用于在线磨损状态监测。了解在交流(ac)磁场中磁化的粒子的行为以及相关的感应机制对于识别粒子尺寸,提高检测精度和增强传感器性能至关重要。在这里,我们首先建立与粒子电导率,磁导率,直径和场频有关的粒子磁化模型。接下来,导出使用电感进行粒子检测的表达式,该表达式由粒子体积,复杂粒子磁化率和粒子传感器灵敏度的乘积组成。推导的公式和实验表明,感应传感器的输出是一个复数。因此,提出了一种用于感应粒子检测的矢量分析方法。讨论了各种传感器的灵敏度。使用相对于传感器处于不同位置的微粒和微粒进行实验。计算结果与实验结果的比较显示出令人满意的一致性。因此,提出了优化的线圈矩形横截面。该研究为基于磁原理的粒子传感器的设计和优化提供了理论依据。

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