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Rotor blade life prediction method and prediction system based on digital twinning

A rotor blade and twinning technology, which is applied in the field of rotor blade life prediction method and prediction system, can solve the problems that the rotor blade health monitoring is difficult to realize online monitoring and life prediction, and achieve the effect of real-time update and life prediction

Pending Publication Date: 2020-12-15
XI AN JIAOTONG UNIV
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Problems solved by technology

[0005] Aiming at the problems existing in the prior art, the present invention proposes a rotor blade life prediction method and prediction system based on digital twins, evaluates the operating state of the rotor blade, calculates the remaining service life, and solves the problem that it is difficult to realize online monitoring and life prediction in the field of rotor blade health monitoring question

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  • Rotor blade life prediction method and prediction system based on digital twinning
  • Rotor blade life prediction method and prediction system based on digital twinning
  • Rotor blade life prediction method and prediction system based on digital twinning

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[0045] The following will refer to the attached Figure 1 to Figure 2 Specific examples of the present invention are described in more detail. Although specific embodiments of the invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and is not limited to the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0046] It should be noted that certain terms are used in the specification and claims to refer to specific components. Those skilled in the art should understand that they may use different terms to refer to the same component. The specification and claims do not use differences in nouns as a way of distinguishing components, but use differences in functions of components as a criterion for distinguishing. "Includes" or "comprises" mentioned throughout ...

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Abstract

The invention discloses a rotor blade life prediction method and prediction system based on digital twinning. The method comprises the steps of building an initial three-dimensional finite element model of a rotor blade based on the size of the rotor blade and material parameters; performing blade end timing measurement to obtain rotor blade vibration parameters and blade end vibration displacement data, and updating the initial three-dimensional finite element model in real time to obtain a digital twin model and a rotor blade Campbell diagram; calculating the rotor blade stress of the digital twin model based on stress reconstruction and blade end vibration displacement data; and based on the rotor blade stress, acquiring a stress time history to calculate the service life of the rotor blade.

Description

technical field [0001] The invention belongs to the field of health management of rotating machinery, in particular to a method and system for predicting the life of rotor blades based on digital twins. Background technique [0002] Rotor blades are important components of rotating machinery such as aero-engines, steam turbines, and gas turbines. However, rotor blades usually work in harsh environments, and are susceptible to various excitations to cause vibration fatigue, resulting in damage such as fatigue cracks, fractures, and corner drops, which seriously affect the working life of rotor blades. Taking an aero-engine as an example, the fatigue-induced reduction in service life leads to blade fracture and failure. The instantaneously broken blade can penetrate the casing, interrupt adjacent blades, and even cause major accidents such as air parking. It can be seen that it is very necessary to monitor the health of rotor blades in service, evaluate their service life, fo...

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Application Information

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IPC IPC(8): G06F30/17G06F30/20G06F119/04
CPCG06F30/17G06F30/20G06F2119/04
Inventor 乔百杰敖春燕许敬晖曹宏瑞陈雪峰
Owner XI AN JIAOTONG UNIV
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