Abstract
Although centrifugal compressors are widely used in construction, they consume a large amount of energy; in existing multistage centrifugal compressors, there is a serious pressure loss of ~15.13% when gas flows through the diffuser, bend, and return channel. In this study, we analyze the loss mechanisms of these stages in detail, using computational fluid dynamics. Based on this analysis, we present a new type of integrated blade, connecting the diffuser, bend, and return channels, which can eliminate the airflow stall phenomenon. Through effective control of the airflow spreading process, we minimized losses in the component, which improved its efficiency by 4.39% and increased the pressure ratio by 2.86% relative to a compressor without the newly-designed integrated blade. The concepts used in the creation of this component can provide a reference for the future design of blades for flow through parts of multistage compressors.
Highlights
The continued development of computing technology has made its combination with mathematical processes the conventional method for solving practical engineering problems
Using the results from the literature cited above and analysis of the loss mechanisms of existing compressor models performed using Computational fluid dynamics (CFD), we propose a new type of integrated blade, to connect the diffuser, the bend, and the return channel
By establishing geometric models of different inlet design angles and analyzing the flow field, a solution that optimizes the efficiency of the compressor stage can be obtained
Summary
The continued development of computing technology has made its combination with mathematical processes the conventional method for solving practical engineering problems. Computational fluid dynamics (CFD) is such a discipline where this combination is applied to engineering solutions. Using basic physical laws and discretization methods, mathematical models of complex objects can be created. The differential equations associated with these models are subsequently solved using appropriate computing algorithms, to obtain the spatial and temporal distribution of the desired physical properties of a fluid. CFD techniques can reduce the cost and duration of experiments. As a result of these advantages, CFD techniques have become an important scientific research method
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