Abstract

Gas-solid flow is used in the chemical industry, food industry, pharmaceuticals, vehicles, and power generation. The calculation of flow has aroused great interest in contemporary industry. In recent decades, researchers have been seeking to build an effective system to monitor and calculate gas-solid flow. Attempts have been extended from computational modeling to the creation of flow pattern visualization methods and mass flow (MFR) quantification. MFR is usually studied by volume flow concentration (VFC) and velocity distribution of solid particles. A non-invasive device is used for testing MFR, in which electronic and mechanical sensors are used to balance the shortcomings related to each other. This study investigates the simulation of flow patterns to demonstrate the behavior of solid particles as they pass through the channel. The particles are allowed to slide longitudinally in the insulated tending channel. This slippage is due to the influence of natural gravity. Electronic sensor components are used to measure the velocity distribution and concentration of volumetric flow. The load cell is used as an auxiliary sensor for measuring MFR. In addition, ANSYS fluent is used to analyze streaming queries. The experimental results are related to evaluating the accuracy and relative error of the data collected from various sensors under different conditions. However, the simulation results can help explain the movement of the gas-solid mixture and can understand the cause of pipeline blockage during the slow movement of solid particles.

Highlights

  • The latest transformation in industry has driven scientists and engineers to implement new instrumentation methods in real-time tracking and computing of two-phase flow, such as solid-gas [1]

  • Since classical mechanics in conjunction with computer science produced an innovative environment for computational fluid dynamics (CFD), the partial differential equations for fluids that were tough to handle converted to simple algebraic equations for flow dynamics that quickly conclude the numerical solution for the situation under study [2]

  • The CFD works by dividing computational domains of the problem into smaller domains, setting boundary conditions for boundary nodes, and instigating estimates to generate a linear algebraic equation system that can compute the pressure, temperature, and velocity fields in the desired region

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Summary

Introduction

The latest transformation in industry has driven scientists and engineers to implement new instrumentation methods in real-time tracking and computing of two-phase flow, such as solid-gas [1]. Sun et al [14] studied a pneumatic accumulation of pulverized coal in a two-phase gas-solid flow This design uses source-grid sensing electrodes by interrelated double sample and a lock-in detector for higher and unvarying capacitance sensing in the pipe cross-section. This work does not cover the complicated gas-solid two-state particle flow It does not cover comparative analysis with simulation results and real-time values. The gas-solid flow, non-invasive, real-time measurement and monitoring are studied in this paper, including the mass flow rate (MFR) of solid particles. Due to the bonding of solid particles, there is a serious problem of gas-solid flow pipe and conduit blockage in a large number of processing industries In response to this problem, the paper uses specialized simulation tools (ANSYS R16.0 FLUENT) to study.

Measurement Principles
Measurement of Velocity
Data Fusion of the Sensors to the Actual Value
Solid Flow Simulation
Simulation Analysis
Concentration of Volumetric Flow
Findings
Data Fusion of Sensors to the Real MFR
Full Text
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