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IMPROVED TURBINE METER ACCURACY BY UTILIZATION OF DIMENSIONLESS DATA

机译:通过利用无量纲数据来改善涡轮机仪表精度

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The present industry accepted method of utilization of turbine flow meters for flow measurement of fluids with a wide viscosity range is not as accurate as presently believed. The Universal Viscosity Curve, UVC, is not a true representation of the actual flow through the turbine meter. Therefore, it is imperative that truly dimensionless data be utilized to more accurately measure the flow of this viscous fluid. By reducing the data to Strouhal and Roshko numbers, in lieu of K-factor and Frequency/Viscosity, errors can and must be eliminated. This approach was originally proposed by Dr. George E. Mattingly of NIST, and has been validated by the utilization of actual calibration data. This paper will present the validity of the dimensionless data approach.
机译:本行业接受的利用涡轮流量计的方法,用于流体的流体宽粘度范围不如目前认为的那样准确。通用粘度曲线UVC不是通过涡轮机计的实际流量的真正表示。因此,必须利用真正无量纲数据来更准确地测量该粘性流体的流动。通过将数据减少到Strouhal和Roshko号码,代替K系数和频率/粘度,误差可以且必须消除。本方法最初由NIST的乔治博士提出,并通过实际校准数据进行了验证。本文将呈现无量纲数据方法的有效性。

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