Development of a performance prediction method for centrifugal compressor channel diffusers

2002 ◽  
Vol 16 (8) ◽  
pp. 1144-1153
Author(s):  
Jeong-Seek Kang ◽  
Sung-Kook Cho ◽  
Shin-Hyoung Kang
Keyword(s):  
Centrifugal Compressor ◽  
Performance Prediction ◽  
Prediction Method ◽  
A Performance

Improving a one-dimensional centrifugal compressor performance prediction method

2005 ◽  
Vol 219 (8) ◽  
pp. 653-659 ◽  
Author(s):  
E Swain
Keyword(s):  
Centrifugal Compressor ◽  
Performance Prediction ◽  
Fluid Dynamic ◽  
Three Dimensional ◽  
Axial Compressor ◽  
Prediction Method ◽  
Compressor Cascade ◽  
One Dimensional ◽  
Compressor Performance ◽  
Cfd Analyses

A one-dimensional centrifugal compressor performance prediction technique that has been available for some time is updated as a result of extracting the component performance from three-dimensional computational fluid dynamic (CFD) analyses. Confidence in the CFD results is provided by comparison of overall performance for one of the compressor examples. The extracted impeller characteristic is compared with the original impeller loss model, and this indicated that some improvement was desirable. The position of least impeller loss was determined using a traditional axial compressor cascade method, and suitable algebraic expressions were derived to match the CFD data. The merit of the approach lies with the relative ease that CFD component performance currently can be achieved and adjusting one-dimensional methods to agree with the CFD-derived models.

A performance prediction method for solar energy systems

Solar Energy ◽  
1992 ◽  
Vol 48 (3) ◽  
pp. 169-175 ◽  
Author(s):  
H. Suehrcke ◽  
P.G. McCormick
Keyword(s):  
Solar Energy ◽  
Performance Prediction ◽  
Prediction Method ◽  
Energy Systems ◽  
A Performance

scholarly journals A Performance Prediction Method for a High-Precision Servo Valve Supported by Digital Twin Assembly-Commissioning

Machines ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 11
Author(s):  
Xuemin Sun ◽  
Shimin Liu ◽  
Jinsong Bao ◽  
Jie Li ◽  
Zengkun Liu
Keyword(s):  
High Precision ◽  
Performance Prediction ◽  
Model Simulation ◽  
Measurement Data ◽  
Prediction Method ◽  
Correction Method ◽  
Small Sample ◽  
Servo Valve ◽  
Digital Twin ◽  
A Performance

The manufacturing of a high-precision servo valve belongs to multi-variety, small-batch, and customized production modes. In the process of assembly and commissioning, various characteristic parameters are critical indicators to measure product performance. To meet the performance requirements of a high-precision servo valve, the traditional method usually relies on the test bench and manual experience for continuous trial and error commissioning, which significantly prolongs the whole assembly-commissioning cycle. Therefore, this paper proposed a performance prediction method for a high-precision servo valve supported by digital twin assembly-commissioning. Firstly, the cloud-edge computing network is deployed in the digital twin assembly-commissioning system to improve the efficiency and flexibility of data processing. Secondly, the method workflow of performance prediction is described. In order to improve the accuracy of measurement data, a data correction method based on model simulation and gross error processing is proposed. Aiming at the problem of high input dimension of the prediction model, a key assembly feature parameters (KAFPs) selection method, based on information entropy (IE), is proposed and given interpretability. Additionally, to avoid the poor prediction accuracy caused by small sample data, a performance prediction method based on TrAdaboost was utilized. Finally, the hysteresis characteristic commissioning of a high-precision servo valve is taken as an example to verify the application. The results indicate that the proposed method would enable accurate performance prediction and fast iteration of commissioning decisions.

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