Design and Research on Online Monitoring Sensor for High-Flow Hydraulic Oil Contamination
In order to solve the problem of small sampling flow rate and single measurement parameter in the existing oil fluid parti-cle detection technology,a large flow rate hydraulic oil particle detection technology was proposed based on the extinction method.By combining the Lambert-Beer law,a theoretical model for detecting the particle concentration in the oil was established.On this basis,the particle size distribution theoretical model of particles was obtained by using the distribution function expression method,and the parti-cles with a size range from 0.1 μm to 10 μm were selected,and the Powell optimization algorithm was used to carry out a multi-wave-length numerical simulation of the particle size distribution theoretical model,and the accuracy of the inversion algorithm of the particle size distribution was verified.At the same time,a high-flow contamination online monitoring sensor was built and the particle concentra-tion-voltage amplitude relationship curve was obtained,the sensor was experimentally verified.The validation results show that the sen-sor can operate stably in the range from 6 L/min to 35 L/min high-flow state,and compared with the standard results,the error of the sensor monitoring results is less than 5%.
NETL
NSTL
万方数据
