Flow Measurement Of Solid Particles Using Correlated Electrical And Mechanical Sensors Assembly

Gas-Solid flow finds its application in various industries such as chemical and food processes,pharmaceuticals,automobile and power generation.The precise measurement and real-time monitoring of the flow process have garnered a lot of attraction in the modern industrial era.The ever-curtailing resources and the effective utilization,with high efficiency,of the resources have compelled the researchers to investigate Gas-Solid flow monitoring and measurement process for the last two decades.Efforts are extended to design instruments for flow pattern visualization and quantification of mass flowrate.Generally,volumetric flow concentration and velocity profile of the solid particles are required to find the mass flow rate(MFR)in the case of non-invasive measurement techniques.This thesis investigates the simulation for the flow of solid particles using ANS YS R16.0 FLUENT where the visualization of the solid particles flow under the influence of gravity in an inclined channel is investigated deeply.Choking of flow pipes and ducts because of cohesiveness of the solid particles is the big issue in many process industries.To solve any issue visual understanding is important.One of the targets of this study is to explain the air-solid flow i.e.,pneumatic sand flow behaviour in an inclined channel.Based upon the flow pattern of solid particles through an inclined channel,the thesis proposes the design structure of a novel and non-invasive mass flow rate measurement system for solid particles where electrical and mechanical sensors are simultaneously used to compensate each other's associated drawbacks.The solid particles are allowed to slide along an insulated inclined channel under the effect of gravity.The velocity profile and volumetric flow concentration are calculated using electrical sensors.Furthermore,load cell serves as a second sensor to calculate the mass flow rate.The experimental results from both the sensors are compared to investigate the accuracy and relative errors of both the sensors under different conditions.