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Physics-Based Rotor Dynamic Analysis for Failure Prediction Using Finite Element Techniques

机译:基于物理的转子动力学分析的有限元技术用于故障预测

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摘要

Machinery such as steam turbines,rncompressors, and generators are rotating machines. Overrnthe years these machines have become very complex, duernto the increased need for higher speed rotating machinery.rnOvertime these machines develop excessive dynamicrnstresses if they are ran at speeds near to their naturalrnfrequencies or under abnormal operating conditions.rnMany technological advances in the aerospace andrnautomotive industries can be held accountable for thesernfaster speeds. Currently, machinery diagnostics is beingrnused to monitor rotating machinery and determine theirrncondition while in operation. To determine how a systemrnwill behave under certain operation conditions, a physicsbasedrnmodel of the system can be modeled and analyzedrnusing finite element analysis. These results will providernstress, deformation, flexibility, stiffness, and vibrationalrncharacteristics of the system. These results can showrnwhere the critical points are on the system and how thernsystem’s load is distributed. By using finite elementrntechniques engineers can simulate the behavior of thernsystem under different loading conditions, which canrnjustify the selection of a particular design alternative, andrnultimately save time and money. This paper discusses ourrntechnical approach used to develop a physics-based modelrnof a rotor dynamic system and discusses results of thisrnresearch effort.
机译:蒸汽轮机,压缩机,发电机等机械是旋转机械。多年来,由于对高速旋转机械的需求日益增加,这些机器变得非常复杂。如果这些机器以接近其自然频率的速度运行或在异常的工作条件下运行,则这些机器会产生过大的动态应力。航空航天和汽车工业中的许多技术进步可以对更快的速度负责。当前,正在使用机械诊断来监视旋转机械并确定其在运行中的状况。为了确定系统在某些操作条件下的行为,可以使用有限元分析对系统的基于物理学的模型进行建模和分析。这些结果将提供系统的应力,变形,柔韧性,刚度和振动特性。这些结果可以显示关键点在系统上的何处以及系统的负载如何分配。通过使用有限元技术,工程师可以模拟系统在不同负载条件下的行为,从而可以合理选择特定的设计替代方案,从而节省时间和金钱。本文讨论了用于开发基于物理模型的转子动力学系统的技术方法,并讨论了这项研究成果。

著录项

  • 来源
  • 会议地点 Gatlinburg TN(US);Gatlinburg TN(US)
  • 作者单位

    Intelligent Machinery Condition Monitoring Research LaboratoryrnDepartment of Mechanical EngineeringrnTennessee State UniversityrnNashville, TN – 37209rnTel/Fax: 615-963-5396/5496rnEmail: ashirkhodaie@tnstate.edu;

    Intelligent Machinery Condition Monitoring Research LaboratoryrnDepartment of Mechanical EngineeringrnTennessee State UniversityrnNashville, TN – 37209rnTel/Fax: 615-963-5396/5496rnEmail: ashirkhodaie@tnstate.edu;

    Intelligent Machinery Condition Monitoring Research LaboratoryrnDepartment of Mechanical EngineeringrnTennessee State UniversityrnNashville, TN – 37209rnTel/Fax: 615-963-5396/5496rnEmail: ashirkhodaie@tnstate.edu;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 可靠性理论;
  • 关键词

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