Gear box service life dynamic evaluation method and system based on digital twinning model

A dynamic evaluation and gearbox technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as research fatigue life, achieve a wide range of applications, improve efficiency, and avoid prediction deviations

Active Publication Date: 2021-02-26
浙江中自庆安新能源技术有限公司
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

Considering the economy of the test and the feasibility of the test cycle, we cannot directly study the fatigue life of the equipment from the original vibration

Method used

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  • Gear box service life dynamic evaluation method and system based on digital twinning model
  • Gear box service life dynamic evaluation method and system based on digital twinning model
  • Gear box service life dynamic evaluation method and system based on digital twinning model

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Embodiment Construction

[0049] The present invention will be described in detail below in conjunction with the specific embodiments shown in the accompanying drawings, but these embodiments do not limit the present invention, those of ordinary skill in the art make structural, method, or functional changes based on these embodiments All are included in the scope of protection of the present invention.

[0050] Such as figure 1 In one embodiment of the present invention shown, the present invention provides a method for dynamically evaluating the life of a gearbox based on a digital twin model, the method comprising:

[0051] S1. Based on the number of teeth of each gear in the gearbox and the elastic coefficient and clearance of each gear pair, set the boundary conditions of the gearbox, construct the transmission model of each gear pair, and obtain each gear with Time-varying translational trajectory and rotational trajectory, the boundary conditions include the input speed and output load of the g...

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Abstract

The invention discloses a gear box service life dynamic evaluation method based on a digital twinning model, and the method comprises the steps: building a transmission model of each gear pair in a gear box, and obtaining a translation track and a rotation track of each gear along with the change of time; correcting the elastic coefficient of each gear pair in the transmission model according to the measured motion amplitude and phase of the gear box to obtain a corrected transmission model of each gear pair; inputting the obtained current input end rotating speed and output end load of the gear box into the corrected transmission model, and combining finite element simulation analysis to obtain a rule that the stress of each position on each gear shaft changes along with time in a first detection period; and according to a fatigue analysis formula, obtaining the number of residual breakage times of each position on each gear shaft, and obtaining the percentage of the residual life ofeach position on each gear shaft after each detection. Based on the computer aided technology, the residual life of the gear box can be dynamically evaluated.

Description

technical field [0001] The invention relates to the technical field of computer-aided optimization, in particular to a method and system for dynamically evaluating the life of a gearbox based on a digital twin model. Background technique [0002] Prognostics and health management (PHM) has been proved to be a feasible path in the fields of aerospace, civil aircraft, nuclear reactors, and automobiles. Through early warning of system failure for long-life and high-reliability components, it is convenient Perform condition-based maintenance on the system. The performance degradation process of a device depends on the running state of the device. For example, the running time of the device in different states and the switching times of the running state will have a great impact on the degradation trajectory of the device. And due to the randomness of the device's running tasks and running time, the stay time of the device in each running state is also random. In addition, even...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/23G06F119/04G06F119/14
CPCG06F30/23G06F2119/04G06F2119/14
Inventor 水沛尹旭晔马飞
Owner 浙江中自庆安新能源技术有限公司
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