Diagnosing the Effect of Misalignment on a Rotating System using Simulation and Experimental Study

Luay Majid Hassan, J. K. Ali
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Abstract

     Misalignment is one of the common causes of machine vibration. Understanding and practicing the fundamentals of rotating shaft parameters is the first step in reducing unnecessary vibration, reducing maintenance costs, and increasing machine uptime.  In the industrial setting, misaligned machines account for 50% of all machine downtime. The most frequent issue with rotating machinery that affects every industry is rotor shaft misalignment.  Consequently, misalignment defects can be qualitatively identified using condition monitoring based on vibration measurements. The present study employs vibration measurement method by Building a model that contains suggested defects and then using it in advanced simulation programs such as Ansys. and Validation of the results by comparing them with the results of experimental methods Validation results show that both numerical and experimental data are in good match regarding amplitude and frequency. The verification results proved that the frequencies that were extracted by using finite element techniques (simulation reading) agree with the frequencies that were extracted by the experimental (experimental reading) (100%).
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用仿真和实验研究诊断旋转系统不对准的影响
不对准是引起机器振动的常见原因之一。了解和实践旋转轴参数的基本原理是减少不必要的振动、降低维护成本和增加机器正常运行时间的第一步。在工业环境中,不对准的机器占所有机器停机时间的50%。影响每个行业的旋转机械最常见的问题是转子轴不对中。因此,可以使用基于振动测量的状态监测来定性地识别不对准缺陷。本研究采用振动测量方法,通过建立包含建议缺陷的模型,然后将其应用于Ansys等高级仿真程序中。验证结果表明,数值和实验数据在幅值和频率上吻合较好。验证结果表明,有限元技术提取的频率(模拟读数)与实验(实验读数)提取的频率(100%)吻合。
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