Separating Method of Velocity Fluctuation and Temperature Fluctuation during Measuring Turbulent Parameter

张政

您当前的位置：

首页 >

文章列表页 >

Separating Method of Velocity Fluctuation and Temperature Fluctuation during Measuring Turbulent Parameter

更新时间：2025-12-16

- Separating Method of Velocity Fluctuation and Temperature Fluctuation during Measuring Turbulent Parameter
- CIESC Journal Issue 3, (1986)
- 作者机构：
  
  北京化工学院
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：25 September 1986，
  
  Published：25 September 1986
- 稿件说明：
移动端阅览
张政. Separating Method of Velocity Fluctuation and Temperature Fluctuation during Measuring Turbulent Parameter[J]. CIESC Journal, 1986, (3).
DOI：

张政. Separating Method of Velocity Fluctuation and Temperature Fluctuation during Measuring Turbulent Parameter[J]. CIESC Journal, 1986, (3). DOI：

摘要

本文采用双热线法分离在高温紊流中同时出现的温度脉动与速度脉动信号.文中推导了用等温热线测量紊流脉动时灵敏度方程的系数方程.并与恒流热线的温度脉动灵敏度方程结合

剔除温度脉动信号

从而确定紊流的速度脉动与主要紊流参数

提高了测量精度.

Abstract

Dual hot wires were used to separate the simultaneous signals due to temperature fluctuation and velocity fluctuation appearing in high tempera tureturbulence measurements. The coefficients in the sensitivity equation inmeasuring turbulent fluctuation with constant-temperature hot-wire anemometry were deducted

combined with the temperature fluctuation sensitivity equation of constant-current hot-wire anemometry

thus separating the temperature-fluctuation component from the mixed signal

and leading to more accurate determination of the turbulent velocity fluctuation signal and other main turbulence parameters.

关键词

Keywords

references

Views

152

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Construction of transition metal-based nitrogen-doped carbon and their desulfurization performance

Progress in research of selective oxidation of low carbon polyols over nano-Au catalysts with precise electronic effect regulation

Hydrolysis reaction mechanism of CNCl on the surface of composite metal CuCr2O4

Study on the residence time distribution characteristics of the TPMS-Diamond static mixer

Multi objective optimization of flow and heat transfer characteristics of modified manifold microchannel heat sink based on machine learning

Related Author

No data

Related Institution

No data

⁰