Application of hot-wire technology in a blowdown type transonic wind tunnel

Zinoviev, V. N.; Lebiga, V. A.; Chung, Kung-Ming; Miau, Jiun‐Jih

doi:10.2514/6.2001-308

Cited by 1 publication

(2 citation statements)

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“…Hot-wire anemometry (HWA) is currently the most widely used method for turbulence level measurement due to its advantages such as high-frequency response, high sensitivity, and cost effectiveness [11][12][13][14]. In the compressible flow, the hot-wire response function derived by the changing overheat ratio method conforms to a hyperbolic relationship.…”

Section: Introductionmentioning

confidence: 99%

“…e LS method has been widely used due to its ease of application and high computational efficiency [21][22][23][24][25]. Both Lebiga VA [12,26,27] and Radespiel R [28][29][30][31] have done a lot of research in the field of turbulence level measurement and obtaining the fitting solution in compressible flow. ey conducted a comprehensive and thorough analysis of fluctuation measurement results, which provided data support for the uncertainty analysis of subsequent wind tunnel tests.…”

Section: Introductionmentioning

confidence: 99%

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Research on Hyperbola Fitting Algorithm for Turbulence Level Measurement Test Data

Wang

et al. 2020

Mathematical Problems in Engineering

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Hyperbola fitting of test data is an extremely important process in turbulence level measurement test in wind tunnels. The solution of the overdetermined equations (SOE) method is often used to solve hyperbola fitting parameters to obtain turbulence level. However, due to unsteady flow characteristics, the SOE method often results in overfitting phenomena, which makes it impossible to solve turbulence level accurately. This paper proposes using the constrained least-squares (CLS) method to convert the problem of hyperbola fitting of test data into the inequality constrained optimization problem and then using the Lagrange programming neural network (LPNN) method to solve turbulence level iteratively. The stability of the LPNN method is analysed, and three sets of typical turbulence level measurement test data are processed using the LPNN method. The results verify the feasibility of applying the LPNN method to iteratively solve the turbulence level of wind tunnels.

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Section: Introductionmentioning

confidence: 99%