A Novel Approach for the Numerical Simulation of Fluid-Structure Interaction Problems in the Presence of Debris

Magnetic induction-free abrasive wire sawing (MIFAWS) is a method that combines magnetic fields with traditional free abrasive wire sawing technologies. Magnetic abrasive particles (MAPs) are attracted on a magnetized wire, thus leading to an increase in their number into the cutting zone. The number of instantaneous-effective abrasive particles (IEAPs) adsorbed on the wire surface has a great influence on the cutting efficiency of the saw wire. In this study, a mathematic model of the movement of the MAP is presented, and the factors influencing the IEAPs number, including slurry-supply speed and slurry dynamic viscosity, are investigated both by means of simulation analysis and experiments. The results indicate that the number of IEAPs decreases with an increase in the slurry supply speed. The cutting efficiency increases gradually with the increase of slurry supply speed, but the growth rate of wire saw cutting efficiency slows down when the slurry supply speed exceeds a given threshold. The number of IEAPs adsorbed by saw wire increases with a decrease in the dynamic viscosity of the cutting fluid, while the cutting efficiency first increases and then decreases. The cutting efficiency attains its highest value when the dynamic viscosity of the cutting fluid is 0.0047 Pa⋅s. The experimental results agree with the simulation results, and provide some guidance for the practical application of the MIFAWS process.

Section: Force Analysis Of Mapsmentioning

confidence: 99%

An Analysis of the Formation Mechanisms of Abrasive Particles and Their Effects on Cutting Efficiency

Zhang¹

2022

“…At present, many scholars use CFD method to study the fluid flow problem, and put forward some new algorithms [40,41]. These documents show that the CFD method is an efficient and reliable method to study slurry flow.…”

Section: Experimental Verification and Characteristic Analysis Of Slu...mentioning

confidence: 99%

A Combined Numerical-Experimental Study on the Noise Power Spectrum Produced by an Electromagnetic Sensor for Slurry Flow

Gao¹,

Jin²,

Liu³

2021

The signals generated by electromagnetic flow sensors used for slurry fluids are often affected by noise interference produced by interaction with the slurry itself. In this study, the power spectrum characteristics of the signal are studied, and an attempt is made to determine the relationship between the characteristics of the related noise and the velocity and concentration of the slurry fluid. Dedicated experiments are conducted and the related power spectrum curve is obtained processing the signal measured by the sensor with Matlab. Numerical simulations are also carried out in the frame of an Eulerian approach in order get additional insights into the considered problem through comparison with the experimental results. The following conclusions are drawn: (1) The intensity of noise is directly proportional to the number of solid particles colliding with the electrode of the electromagnetic flow sensor per unit time, and to the square of the average velocity of the flow layer near the pipe wall. (2) With an increase in the slurry noise intensity, the power spectrum curve shifts upward in the logarithmic coordinate system (and vice versa).

“…Simulating the Poiseuille flow between parallel plates validates the model's numerical accuracy. The boundary conditions at the solid-liquid interface are explored in order to verify various shear strain shear stress ratios [16].…”

Section: Introductionmentioning

confidence: 99%

Simulation of Oil-Water Flow in Shale Oil Reservoirs Based on Smooth Particle Hydrodynamics

Qi¹,

Lu²,

Wang³

et al. 2022

A Smooth Particle Hydrodynamics (SPH) method is employed to simulate the two-phase flow of oil and water in a reservoir. It is shown that, in comparison to the classical finite difference approach, this method is more stable and effective at capturing the complex evolution of this category of two-phase flows. The influence of several smooth functions is explored and it is concluded that the Gaussian function is the best one. After 200 days, the block water cutoff for the Gaussian function is 0.3, whereas the other functions have a block water cutoff of 0.8. The effect of various injection ratios on real reservoir production is explored. When 14 and 8 m 3 /day is employed, the water breakthrough time is 130 and 170 days, respectively, and the block produces 9246 m 3 and 6338 m 3 of oil cumulatively over 400 days.