Computational Fluid Dynamics Simulation of High Pressure and High Temperature Waterjet Downhole Drilling Environments for Design of Helix in Drilling Calibration Apparatus

2016 ◽  
Vol 13 (10) ◽  
pp. 7176-7183
Author(s):  
Tao Li ◽  
Gannan Yuan
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
High Pressure ◽  
Cfd Simulation ◽  
Drilling Fluid ◽  
Small Diameter ◽  
Dynamics Simulation ◽  
Chemical Compositions ◽  
Horizontal Drilling ◽  
Bias Drift

High pressure waterjet drilling (HPWD) as a cutting-edge upstream technology receives considerable attention in horizontal drilling fields. HPWD technology achieves great commercial benefits for the reentry multilateral well drilling in small diameter space where the conventional rotary drill bit needs high-cost tools to implement. The sophisticated waterjet downhole drilling environments are difficult to predict because the temperatures and pressures varied with the depth of the well and the chemical compositions of drilling fluid. Different proportion of waterjet drilling fluid (density or viscosity) may produce different pressures and temperatures for the waterjet drilling bit. Therefore, computational fluid dynamics (CFD) simulation of the waterjet drilling environments is of crucial significance, especially for the design of downhole navigation apparatus. This paper describes the design details of helix drilling calibration (HIDC) apparatus with MEMS gyroscope based measurement while drilling (MGWD) device in downhole harsh conditions. The design objective of HIDC apparatus is that the determined errors of MGWD device interrupted by scale factor errors and axis non-orthogonal errors can be modulated and the stochastic errors and the bias drift of MGWD device can be reduced. The drilling environments of HIDC apparatus are simulated by ANSYS INFLUENT software and the simulation results demonstrate that the temperature, the pressure and the flow rate of waterjet drilling fluid to HIDC apparatus are 172.85 °C, 4×108 Pa and 704.4823 m/s respectively.

Particle Image Velocimetry Experiment and Computational Fluid Dynamics Simulation of Flow Around Rigid Cylinder

2018 ◽  
Vol 140 (5) ◽  
Author(s):  
Guangyao Wang ◽  
Ye Tian ◽  
Spyros A. Kinnas
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Particle Image Velocimetry ◽  
Vector Fields ◽  
Particle Image ◽  
Cfd Simulation ◽  
Dynamics Simulation ◽  
Reynolds Stresses ◽  
Rigid Cylinder ◽  
Image Velocimetry

This work focuses on the study of the flow around a rigid cylinder with both particle image velocimetry (PIV) experiment and computational fluid dynamics (CFD) simulation. PIV measurements of the flow field downstream of the cylinder are first presented. The boundary conditions for CFD simulations are measured in the PIV experiment. Then the PIV flow is compared with both Reynolds-averaged Navier–Stokes (RANS) two-dimensional (2D) and large eddy simulation (LES) three-dimensional (3D) simulations performed with ANSYS fluent. The velocity vector fields and time histories of velocity are analyzed. In addition, the time-averaged velocity profiles and Reynolds stresses are analyzed. It is found that, in general, LES (3D) gives a better prediction of flow characteristics than RANS (2D).

Computational Fluid Dynamics Simulation of the Right Coronary Artery Moving With the Cardiac Wall

2002 ◽  
Author(s):  
H. Hayashi ◽  
T. Yamaguchi
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Coronary Artery ◽  
Right Coronary Artery ◽  
Cfd Simulation ◽  
Dynamics Simulation ◽  
Cardiac Wall ◽  
Computational Fluid Dynamics Cfd ◽  
The Right ◽  
Heart Wall

The beating motion of the heart wall, to which the major coronary arteries are fixed, is interesting, due to its possible mechanical influence on the flow inside the artery, and hence its effect on atherogenesis [1–2]. In this study, we conducted a computational fluid dynamics (CFD) simulation using a simplified model of the right coronary artery, which deforms with heart contractions. The results are discussed with respect to the local hemodynamics characteristics, particularly the streamline pattern and the wall shear stress distribution.

Application of Computational Fluid Dynamics Simulation to Squeeze Film Damper Analysis

2017 ◽  
Vol 139 (10) ◽  
Author(s):  
Gil Jun Lee ◽  
Jay Kim ◽  
Tod Steen
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
High Speed ◽  
Cfd Simulation ◽  
Design Guidelines ◽  
Dynamics Simulation ◽  
Squeeze Film ◽  
Computational Time ◽  
Small Clearance ◽  
Computational Fluid Dynamics Cfd

Squeeze film dampers (SFDs) are used in high-speed turbomachinery to provide external damping to the system. Computational fluid dynamics (CFD) simulation is a highly effective tool to predict the performance of SFDs and obtain design guidance. It is shown that a moving reference frame (MRF) can be adopted for CFD simulation, which saves computational time significantly. MRF-based CFD analysis is validated, then utilized to design oil plenums of SFDs. Effects of the piston ring clearances, the oil groove, and oil supply ports are studied based on CFD and theoretical solutions. It is shown that oil plenum geometries can significantly affect the performance of the SFD especially when the SFD has a small clearance. The equivalent clearance is proposed as a new concept that enables quick estimation of the effect of oil plenum geometries on the SFD performance. Some design practices that have been adopted in industry are revisited to check their validity. Based on simulation results, a set of general design guidelines is proposed.

Unsteady Half-Annulus Computational Fluid Dynamics Calculations of Thermal Migration Through a Cooled 2.5 Stage High-Pressure Turbine

2014 ◽  
Vol 136 (8) ◽  
Author(s):  
James A. Tallman
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
High Pressure ◽  
Cfd Simulation ◽  
Domain Size ◽  
Steady State Solution ◽  
Rotor Blades ◽  
Gas Temperature ◽  
High Pressure Turbine ◽  
Model Domain

This paper presents an industrial perspective on the potential use of multiple-airfoil row unsteady computational fluid dynamics (CFD) calculations in high-pressure turbine design cycles. A sliding-mesh unsteady CFD simulation is performed for a high-pressure turbine section of a modern aviation engine at conditions representative of engine take-off. The turbine consists of two stages plus a center-frame strut upstream of the low-pressure turbine. The airfoil counts per row are such that a half-annulus model domain must be simulated for periodicity. The total model domain size is 170 MM computational grid points and the solution requires approximately nine days of clock time on 6288 processing cores of a Cray XE6 supercomputer. Airfoil and endwall cooling flows are modeled via source term additions to the flow. The endwall flowpath cavities and their purge/leakage flows are resolved in the computational meshes to an extent. The time-averaged temperature profile solution is compared with static rake data taken in engine tests. The unsteady solution shows a considerable improvement in agreement with the rake data, compared with a steady-state solution using circumferential mixing planes. Passage-to-passage variations in the gas temperature prediction are present in the 2nd stage, due to nonperiodic alignment between the nozzle vanes and rotor blades. These passage-to-passage differences are quantified and contrasted.

Validation of the free area method for modelling fabric air dispersion system without orifices in computational fluid dynamics simulation

2017 ◽  
Vol 27 (7) ◽  
pp. 969-982 ◽  
Author(s):  
Fu-Jiang Chen ◽  
Qin-Yu Wu ◽  
Dan-Dan Huang ◽  
Yun Zhang ◽  
Wang Lu ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Cfd Simulation ◽  
Ventilation System ◽  
Dynamics Simulation ◽  
Complex Flow ◽  
Air Velocity ◽  
Dispersion System ◽  
Air Dispersion ◽  
Free Area

The fabric air dispersion system (FADS) is a ventilation terminal made of special polymer fabric. The porous structure of the fabric causes complex flow motion. Due to its advantages over the conventional ventilation system, i.e. ducts and diffusers, the FADS has been widely favoured by architects and researchers. In computational fluid dynamics (CFD) simulation the FADS is usually simplified into a free opening with an area equal to all pores and perforations, called the free area (FA) method in this present work. However, the effectiveness of this simplified method has not been validated. The present work took a half cylindrical FADS without orifices as an example and employed the FA method to simulate the airflow properties inside a chamber under isothermal and non-isothermal conditions. The simulated distributions of air velocity and temperature were compared with those by the direct description (DD) method. Meanwhile, the uniformity of air velocity distribution close to the FADS was validated against test data and the flow visualization using the dry ice as a smoking material. Results demonstrate that the FA method is effective and easy to implement, and performs as well as the DD method in predicting the distribution of airflow generated by the FADS without orifices.

scholarly journals Computational Fluid Dynamics Simulation of Airflow and Air Pattern in the Living Room for Reducing Coronavirus Exposure

2021 ◽  
Author(s):  
Majid Bayatian ◽  
Khosro Ashrafi ◽  
Zahra Amiri ◽  
Elahe Jafari
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Indoor Air ◽  
Cfd Simulation ◽  
Fluid Dynamic ◽  
Dynamics Simulation ◽  
Living Room ◽  
Air Velocity ◽  
Cfd Validation ◽  
Airflow Pattern

Abstract Viruses can be transmitted in indoor environments. Important factors in Indoor Air Quality (IAQ) are air velocity, relative humidity, temperature, and airflow pattern and Computational fluid dynamics (CFD) can use for IAQ assessment. The objective of this study is to CFD simulation in the living room to the prediction of the air pattern and air velocity. A computational fluid dynamic model was applied for airflow pattern and air velocity simulation. For simulation, GAMBIT, FLUENT, and CFD post software were used as preprocessing, processing, and post-processing, respectively. CFD validation was carried out by comparing the computed data with the experimental measurements. The final mesh number was set to 1,416,884 elementary cells and SIMPLEC algorithm was used for pressure-velocity coupling. PERSTO, and QUIK schemes have been used for the pressure terms, and the other variables, respectively. Simulations were carried out in ACH equals 3, 6 and 8 in four lateral walls. The maximum error and root mean square error from the air velocity were 14% and 0.10, respectively. Terminal settling velocity and relaxation time were equal to 0.302 ×10− 2 m/s and 0.0308 ×10− 2 s for 10 µm diameter particles, respectively. The stopping distance was 0.0089m and 0.011m for breathing and talking, respectively. The maximum of mean air velocity is in scenario 4 with ACH = 8 that mean air velocity is equal to 0.31 in 1.1m height, respectively. The results of this study showed that avoiding family gatherings is necessary for exposure control and suitable airflow and pattern can be improving indoor air conditions.

scholarly journals Hemodynamic analysis for stenosis microfluidic model of thrombosis with refined computational fluid dynamics simulation

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yunduo Charles Zhao ◽  
Parham Vatankhah ◽  
Tiffany Goh ◽  
Rhys Michelis ◽  
Kiarash Kyanian ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Blood Flow ◽  
Shear Rate ◽  
Cfd Simulation ◽  
Critical Role ◽  
Three Dimensions ◽  
Dynamics Simulation ◽  
Water Medium ◽  
Cfd Method

AbstractDisturbed blood flow has been increasingly recognized for its critical role in platelet aggregation and thrombosis. Microfluidics with hump shaped contractions have been developed to mimic microvascular stenosis and recapitulate the prothrombotic effect of flow disturbance. However the physical determinants of microfluidic hemodynamics are not completely defined. Here, we report a refined computational fluid dynamics (CFD) simulation approach to map the shear rate (γ) and wall shear stress (τ) distribution in the stenotic region at high accuracy. Using ultra-fine meshing with sensitivity verification, our CFD results show that the stenosis level (S) is dominant over the bulk shear rate (γ0) and contraction angle (α) in determining γ and τ distribution at stenosis. In contrast, α plays a significant role in governing the shear rate gradient (γ′) distribution while it exhibits subtle effects on the peak γ. To investigate the viscosity effect, we employ a Generalized Power-Law model to simulate blood flow as a non-Newtonian fluid, showing negligible difference in the γ distribution when compared with Newtonian simulation with water medium. Together, our refined CFD method represents a comprehensive approach to examine microfluidic hemodynamics in three dimensions and guide microfabrication designs. Combining this with hematological experiments promises to advance understandings of the rheological effect in thrombosis and platelet mechanobiology.

Validation of computational fluid dynamics simulation methods for venous pulsatile tinnitus

2021 ◽  
Author(s):  
Yue-Lin Hsieh ◽  
Dan Wang ◽  
Xiaobing Xu ◽  
Dengtao Yu ◽  
Yongzhen Wu ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Doppler Ultrasound ◽  
Cfd Simulation ◽  
Computational Simulation ◽  
Case Series ◽  
Temporal Analysis ◽  
Dynamics Simulation ◽  
Pulsatile Tinnitus ◽  
Cfd Method

There has been a growing interest in the investigation of hydroacoustic characteristics of pulsatile tinnitus (PT). However, a proper technique for computational fluid dynamics (CFD) simulation has yet to be discussed. The primary goal of this paper was to investigate the intrasinus hydroacoustic characteristics of PT at the transverse-sigmoid junction (TSJ) using Doppler ultrasound and examine the validity of CFD techniques in simultaneity. The preoperative and intraoperative Doppler ultrasound were performed on a patient with PT at upper jugular vein and TSJ, respectively. Canonical CFD techniques were applied to solve the computational transverse-sigmoid sinus flow domain and compared with the Doppler’s measurements. In addition, the spectro-temporal analysis was performed for the sonification of PT. PT was associated with the recirculating flows at the TSJ according to ultrasonographic detection. This pathogenic region was characterized by a sudden deceleration of flow velocity and inverse increase of flow static pressure, which large eddy simulation (LES) resulted in the smallest 6% velocity difference compared to the measured Doppler data, albeit with little differences compared to other solvers. Therefore, based on this case study, the transient LES approach is an optimal CFD method for the computational simulation of the complex hemodynamics at the TSJ. Further numerical studies with large case series are warrranted.

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