Analysis Of Self-compensation Mechanism And Antiwear Performance Of Self-sensing Slipper System

The slipper pair is the weak part of the high-pressure piston pump.Under bad working conditions,there are problems such as high specific contact pressure and frequent pressure impact,which are easy to wear.How to keep its high performance and long life has become the key technical problem restricting the development of the high-pressure piston pump in China.The hydrostatic bearing slipper pair has special friction adaptive characteristics,which can repair the performance deterioration caused by early wear of slipper,but the repair degree is limited.The self-sensing slipper system combines the differential pressure constant and slipper pair to form a double variable damping adaptive control mechanism,which has obvious repair effect on slipper wear.Therefore,based on the study of the friction adaptive characteristics of the static pressure bearing slipper pair,the wear selfcompensation characteristics of the self-sensing slipper system are analyzed,and the antiwear performance is evaluated and compared.It is expected that the research results will be of great significance to improve the anti-wear performance of the slipper pair and ensure the stable operation of the high-pressure piston pump.Firstly,the mathematical relationship between the fractal parameters and the oil film thickness was established based on the fractal theory.Combined with the friction coefficient,the friction adaptive mechanism model of hydrostatic bearing slipper pair was established,and the influence law of wear degree on the repair effect was studied.On this basis,combined with the composition of the self-sensing slipper system,the wear selfcompensation mechanism model was established,and the influence law of wear degree and structural parameters on the repair effect was analyzed.The repair effect of the self-sensing slipper system was compared with that of the static pressure bearing slipper pair.The results show that the self-sensing slipper system has better repair effect.Secondly,a state evaluation model of slipper friction performance based on deep belief network was proposed,and the state of friction performance was divided.After training the model,the test results showed that the accuracy of the model was more than 97%.Based on the model,the evaluation process of the anti-wear performance of the hydrostatic bearing slipper and the self-sensing slipper system was established.Finally,the wear tests of the hydrostatic bearing slipper pair and the self-sensing slipper system were carried out respectively.The changing rules of the fractal parameters and friction coefficient were obtained by using the test method of changing specimens at different intervals,and the anti-wear performance was compared.The experimental results confirm the correctness of the theoretical model,and show that the self-sensing slipper system has stronger stability,anti-wear performance and longer life.