Cavitation Erosion Prediction at Vibrating Walls by Coupling Computational Fluid Dynamics and Multi-body-Dynamic Solutions

2021 ◽  
Vol 14 (3) ◽  
Author(s):  
Simon Gomboc ◽  
Marco Cristofaro ◽  
Bruno Haramincic ◽  
Jure Strucl ◽  
Wilfried Edelbauer
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Cavitation Erosion ◽  
Erosion Prediction ◽  
Multi Body ◽  
Body Dynamic

An Improved Computational Fluid Dynamics (CFD) Model for Erosion Prediction in Oil and Gas Industry Applications

2014 ◽  
Author(s):  
Deval Pandya ◽  
Brian Dennis ◽  
Ronnie Russell
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Surface Velocity ◽  
Particle Model ◽  
Model Parameters ◽  
Cfd Model ◽  
Erosion Model ◽  
Erosion Prediction ◽  
Erosion Models ◽  
Computational Fluid Dynamics Cfd

In recent years, the study of flow-induced erosion phenomena has gained interest as erosion has a direct influence on the life, reliability and safety of equipment. Particularly significant erosion can occur inside the drilling tool components caused by the low particle loading (<10%) in the drilling fluid. Due to the difficulty and cost of conducting experiments, significant efforts have been invested in numerical predictive tools to understand and mitigate erosion within drilling tools. Computational fluid dynamics (CFD) is becoming a powerful tool to predict complex flow-erosion and a cost-effective method to re-design drilling equipment for mitigating erosion. Existing CFD-based erosion models predict erosion regions fairly accurately, but these models have poor reliability when it comes to quantitative predictions. In many cases, the error can be greater than an order of magnitude. The present study focuses on development of an improved CFD-erosion model for predicting the qualitative as well as the quantitative aspects of erosion. A finite-volume based CFD-erosion model was developed using a commercially available CFD code. The CFD model involves fluid flow and turbulence modeling, particle tracking, and application of existing empirical erosion models. All parameters like surface velocity, particle concentration, particle volume fraction, etc., used in empirical erosion equations are obtained through CFD analysis. CFD modeling parameters like numerical schemes, turbulence models, near-wall treatments, grid strategy and discrete particle model parameters were investigated in detail to develop guidelines for erosion prediction. As part of this effort, the effect of computed results showed good qualitative and quantitative agreement for the benchmark case of flow through an elbow at different flow rates and particle sizes. This paper proposes a new/modified erosion model. The combination of an improved CFD methodology and a new erosion model provides a novel computational approach that accurately predicts the location and magnitude of erosion. Reliable predictive methodology can help improve designs of downhole equipment to mitigate erosion risk as well as provide guidance on repair and maintenance intervals. This will eventually lead to improvement in the reliability and safety of downhole tool operation.

Investigation of vehicle stability under crosswind conditions based on coupling methods

2019 ◽  
Vol 233 (13) ◽  
pp. 3305-3317 ◽  
Author(s):  
Taiming Huang ◽  
Shuya Li ◽  
Zhongmin Wan ◽  
Zhengqi Gu
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Large Eddy Simulation ◽  
Coupling Method ◽  
Vehicle Stability ◽  
Eddy Simulation ◽  
Large Eddy ◽  
Body Dynamics ◽  
Multi Body ◽  
Vehicle Movement

In this study, vehicle stability under crosswind conditions is investigated. A two-way coupling method is established based on computational fluid dynamics and vehicle multi-body dynamics. Large eddy simulation is employed in the computational fluid dynamics model to compute the transient aerodynamic load, and the accuracy of the large eddy simulation is validated with a wind tunnel experiment. The arbitrary Lagrange–Euler technique is used in the computational fluid dynamics simulation to realise vehicle motion, and a real-time data transmission method is employed to ensure effective exchange of data between the computational fluid dynamics and multi-body dynamics models. The robustness of the two-way coupling model is verified by changing the position of the vehicle centroid. The results of the two-way and one-way coupling simulations demonstrate that crosswinds significantly affect vehicle stability. There is a clear difference between the results obtained with the two methods, particularly after the disappearance of the crosswind. The main reason for the difference is that the interaction between the transient airflow and the vehicle movement is considered in the two-way coupling method. Therefore, investigations of vehicle stability under crosswind conditions should consider the coupling of transient aerodynamic force and vehicle movement.

scholarly journals Combined simulation of heavy truck stability under sudden and discontinuous direction change of crosswind with computational fluid dynamics and multi-body system vehicle dynamics software

2018 ◽  
Vol 10 (7) ◽  
pp. 168781401878636
Author(s):  
Zhe Zhang ◽  
Jie Li ◽  
Wencui Guo
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Closed Loop ◽  
System Simulation ◽  
Open Loop ◽  
Lateral Acceleration ◽  
Body System ◽  
Direction Change ◽  
Heavy Truck ◽  
Multi Body

The method of yaw model is used to establish aerodynamic property of heavy truck in computational fluid dynamics and wind tunnel test. A model of multi-body system simulation for heavy truck is built based on design and measure data from body, driving system, steering system, braking system, and powertrain system with TruckSim. Aerodynamic reference point of Society of Automotive Engineers (SAE) and aerodynamic coefficients are as the interface to integrate computational fluid dynamics and multi-body system simulation. A sudden and discontinuous direction change of crosswind is set up in multi-body system simulation, and dynamic performance of the heavy truck is performed by open-loop and closed-loop simulation. Under the given simulation case, lateral offset of the truck for open-loop simulation is 1.55 m and more than that for closed-loop simulation; the roll rate range of both simulations is −1.49°/s to 1.695°/s, the range of lateral acceleration is −0.497 m/s2 to 0.447 m/s2 in open-loop simulation, the range of lateral acceleration is −0.467 m/s2 to 0.434 m/s2 in closed-loop simulation; the range of yaw rate is −1.36°/s to 1.284°/s in open-loop simulation, the range of yaw rate is −0.703°/s to 0.815°/s in closed-loop simulation. The results show that combined simulation of the heavy truck stability can be completed by computational fluid dynamics and multi-body system software under sudden and discontinuous direction change of crosswind.

A Computational-Fluid-Dynamics-Based Eulerian-Granular Approach for Characterization of Sand Erosion in Multiphase-Flow Systems

SPE Journal ◽  
2013 ◽  
Vol 19 (04) ◽  
pp. 586-597 ◽  
Author(s):  
Yaojun Lu ◽  
Madhusuden Agrawal
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Multiphase Flow ◽  
Particle Interaction ◽  
Lagrangian Approach ◽  
Erosion Prediction ◽  
Sand Erosion ◽  
Flow Systems ◽  
Computational Fluid Dynamics Cfd ◽  
General Instrument

Summary This paper presents a computational-fluid-dynamics (CFD)-based Eulerian-Granular approach for characterizing erosion wear in multiphase-flow systems. In contrast to the conventional CFD-based Eulerian-Lagrangian approach, the Eulerian-Granular approach takes account of multiphase dynamics on the basis of the multifluid concept and the kinetic theory; therefore, a more realistic erosion prediction can be achieved. Both the benchmark study and typical applications have demonstrated the effectiveness of the CFD-based Eulerian-Granular approach from dilute to condensed flow systems. Unlike the conventional CFD-based Eulerian-Lagrangian approach and the spreadsheet-based empirical approach, which tend to provide a risky erosion prediction, the CFD-based Eulerian-granular approach is able to capture detailed flow and phase redistribution effects as well as particle/particle interaction involved in multiphase-flow systems. Because fewer assumptions have been made, a more realistic prediction can be expected. The CFD-based Eulerian-Granular approach described in this paper can serve as a general instrument for erosion analysis in multiphase-flow systems, and thus deserves more attention in the erosion community.

scholarly journals Advanced computational fluid dynamics (CFD)–multi-body simulation (MBS) coupling to assess low-frequency emissions from wind turbines

2018 ◽  
Vol 3 (2) ◽  
pp. 713-728 ◽  
Author(s):  
Levin Klein ◽  
Jonas Gude ◽  
Florian Wenz ◽  
Thorsten Lutz ◽  
Ewald Krämer
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Degrees Of Freedom ◽  
Structural Model ◽  
Low Frequency ◽  
Cfd Model ◽  
Computational Fluid Dynamics Cfd ◽  
Multi Body

Abstract. The low-frequency emissions from a generic 5 MW wind turbine are investigated numerically. In order to regard airborne noise and structure-borne noise simultaneously, a process chain is developed. It considers fluid–structure coupling (FSC) of a computational fluid dynamics (CFD) solver and a multi-body simulations (MBSs) solver as well as a Ffowcs-Williams–Hawkings (FW-H) acoustic solver. The approach is applied to a generic 5 MW turbine to get more insight into the sources and mechanisms of low-frequency emissions from wind turbines. For this purpose simulations with increasing complexity in terms of considered components in the CFD model, degrees of freedom in the structural model and inflow in the CFD model are conducted. Consistent with the literature, it is found that aeroacoustic low-frequency emission is dominated by the blade-passing frequency harmonics. In the spectra of the tower base loads, which excite seismic emission, the structural eigenfrequencies become more prominent with increasing complexity of the model. The main source of low-frequency aeroacoustic emissions is the blade–tower interaction, and the contribution of the tower as an acoustic emitter is stronger than the contribution of the rotor. Aerodynamic tower loads also significantly contribute to the external excitation acting on the structure of the wind turbine.

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