Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Gas-liquid two-phase flow dynamics representation and identification method based on multi-scale arrangement entropy

A gas-liquid two-phase flow and identification method technology, which is applied in the field of dynamic characterization and identification of gas-liquid two-phase flow patterns, and can solve the problems of insufficient details to reflect the dynamic characteristics of the flow pattern, single nonlinear characterization parameters of calculation results, etc.

Inactive Publication Date: 2014-01-01
QINGDAO UNIV OF SCI & TECH
View PDF3 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current nonlinear time series analysis algorithm is sensitive to the sequence length and the selection of parameters in the algorithm, and the calculation result obtained is only a single nonlinear characterization parameter, which is still insufficient in reflecting the details of the dynamic characteristics of the flow pattern

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Gas-liquid two-phase flow dynamics representation and identification method based on multi-scale arrangement entropy
  • Gas-liquid two-phase flow dynamics representation and identification method based on multi-scale arrangement entropy
  • Gas-liquid two-phase flow dynamics representation and identification method based on multi-scale arrangement entropy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. like figure 1 As shown, this embodiment includes the following steps:

[0033] (1) Obtain the conductance fluctuation signals of different flow patterns of gas-liquid two-phase flow, specifically:

[0034] The dynamic experiment of gas-water two-phase flow in the vertical riser is carried out in the multiphase flow laboratory of Tianjin University. The whole measurement system consists of plug-in conductivity sensor, excitation signal generation circuit, signal conditioning module, data acquisition equipment, and measurement data analysis software. . The measurement system is excited by a constant-voltage sinusoidal signal with a frequency of 20kHz, and the effective value of the excitation voltage is 1V. The signal conditioning module is mainly composed of three parts: differential amplification, phase-sensitive demodulation and low-pass fil...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a gas-liquid two-phase flow pattern dynamics representation and identification method based on multi-scale arrangement entropy. The method includes the steps of firstly carrying out a gas-liquid two-phase flow pattern experiment with air and water as media to collect three kinds of gas-liquid two-stage different-flow-pattern electrical conductance fluctuation signals, then carrying out coarse graining processing on flow-pattern signal sequences according to a multi-scale concept to obtain coarse graining time sequences, calculating arrangement entropy of the time sequences in different scales, drawing a distribution map of the multi-scale arrangement entropy, analyzing dynamics evolution characteristics of the multi-scale arrangement entropy according to the gas-liquid two-phase different-flow-pattern characteristics, ultimately calculating the multi-scale arrangement entropy rate according to distribution map of the multi-scale arrangement entropy of different flow patterns to obtain distribution of the multi-scale arrangement entropy of all the flow-pattern signals, and accordingly achieving identification and classification of the flow patterns. According to the method, complexity of gas-liquid two-phase flow-pattern signals is disclosed in terms of time sequence themselves. The method has the advantages of being simple and quick in calculation, good in robustness and the like and is especially suitable for real-time processing of the two-phase flow-pattern signals.

Description

Technical field [0001] The invention belongs to the field of dynamic characterization and recognition of gas-liquid two-phase flow patterns, and specifically uses a multi-scale permutation entropy method to process conductance fluctuation signals so as to realize the dynamic characterization and recognition of gas-liquid two-phase flow patterns. Background technique [0002] Gas-liquid two-phase flow widely exists in chemical industry, nuclear reaction, natural gas and other industrial processes and applications. Two-phase flow is a complex nonlinear dynamic system, and there are complex interface effects and relative motion between phases. In the study of two-phase flow, the flow pattern describes the distribution and mixing of two-phase substances, and the analysis of dynamic characteristics reveals the complexity of the two-phase flow pattern and the evolution law of the nonlinear flow system. At present, theoretical models and numerical simulation methods have not yet f...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01M10/00
Inventor 樊春玲陈秀霆
Owner QINGDAO UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com