A kind of supergravity centrifuge sliding bearing unbalance force monitoring method

Abstract

The invention discloses a method for monitoring the unbalanced force of a sliding bearing of a supergravity centrifuge. The main shaft of the hypergravity centrifuge is equipped with sliding bearings on the upper, middle and lower parts, respectively. The sliding bearings are provided with bearing bushes, and a force sensor is arranged at the bearing pad. The real-time force sensor collects the load time-history curve in the centrifuge test; establishes two coordinate systems to synthesize each The total bearing reaction force of the sliding bearing is processed to obtain the dynamic unbalanced force of the hypergravity centrifuge, and the dynamic unbalanced force of the entire hypergravity centrifuge and the working performance of the sliding bearing are checked to realize the unbalanced sliding bearing of the hypergravity centrifuge. force monitoring. The invention can still ensure high-precision operation and the accuracy of the final unbalanced load even when some sensors fail, and can also reflect other factors that generate dynamic unbalance.

Description

technical field [0001] The invention belongs to the technical field of centrifuge rotor balance, relates to a monitoring technology for a hypergravity centrifuge, and in particular relates to a method for monitoring the unbalanced force of a sliding bearing of a hypergravity centrifuge. Background technique [0002] As a high-speed rotating equipment, the hypergravity centrifuge also bears additional dynamic loads including rotational imbalance in addition to static loads. The dynamic load will cause the forced vibration of the equipment, which will reduce the running stability and accuracy, increase the motion noise, accelerate the wear of the moving parts, and shorten the service life; Therefore, sensitive and reliable real-time monitoring and feedback of the unbalanced amount of the centrifuge during operation is an important condition to ensure the stable operation of the hypergravity centrifuge. Especially now that the design indicators of hypergravity centrifuges are ...

AI Technical Summary

Problems solved by technology

[0010] It is required to install a monitoring device between the boom and the support of the boom. The newly added mechanism not only increases the complexity of the main structure, but also complicates the processing, troublesome installation and adjustment, and limited measurement accuracy also limits the development of its own technology.

In addition, the trimming technology mainly uses the monitoring results of the unbalance monitoring device to provide real-time feedback control of the moving mechanism to perform the trimming operation. If the additional mechanism is not adjusted and coordinated, the additional friction to the centrifuge will affect the transmission of the unbalanced force and cause monitoring. data deviation

[0011] In addition, the existing monitoring technologies all use the measurement results of the force sensor between the rotating arm and the main shaft to represent the unbalanced amount, which represents the unbalanced centrifugal force at the working end and the counterweight end. However, due to the need to overcome the The effect of friction between them will lead to unsafe monitoring results

Moreover, the amount of unbalance to be borne by the centrifuge caused by other reasons (such as the leftover angle of swing, installation deviation, etc.) cannot be monitored by existing technologies

[0012] Finally, the dynamic unbalanced load obtained through indirect conversion cannot reflect the effect of the unbalanced force at the end of the arm on the bearing, and the bearing is the key support component involved in the safe and effective operation of the supergravity centrifuge and the main component of the mechanical system. Therefore, based on The direct unbalanced force monitoring method of the bearing can ensure the real-time dynamic load and the stability of the machine operation, which has not been solved by the existing indirect monitoring methods

Images