Current compressor models are mainly concentrated on conventional piston compressors. In fact, the current small rolling rotor compressors are more and more widely used in domestic heat pump air conditioners, mainly because such compressors have the following advantages: simple structure, small volume; small clearance volume, no suction valve, suction The gas process resistance is small and the indication efficiency is high. Therefore, it is necessary to further analyze and discuss the numerical model of this compressor. On the one hand, it can make up for the shortcomings of the test method, on the other hand, it can be used as an organic part of the numerical simulation of the system
In fact, the modeling and simulation studies of compressor thermal performance are mainly concerned with the regression index of the compression process, the gas transmission coefficient and the return of the indicated efficiency. Through the analysis of numerical simulation and experimental data of rolling rotor compressor, this paper adopts a simple and effective regression form and achieves good results.
Compared with the evaporation temperature, the change of the condensation temperature has little effect on the compressor flow, but the theoretical analysis and experimental results show that the influence of the condensation temperature on the flow rate is still obvious, so the factor of the condensation temperature must be considered in the regression of the correlation coefficient. There is an extreme point in the curve of the pressure difference with the crank angle. On both sides of the extreme point, the closer the extreme point is, the larger the pressure difference is. Conversely, the farther away from the extreme point, the smaller the pressure difference.
The compression process of the compressor can be approximated as a variable process, and the multi-variable index is calculated as follows: the actual input power return effect. By using the above multivariate exponential model and regression coefficient to calculate the compressor exhaust temperature, compare with the actual exhaust temperature to test the regression effect and error of the multivariate index.
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excellent processing performance.
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