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Numerical simulation on upheaval buckling of offshore pipelines is carried out using finite element software ABAQUS.
Offshore Pipelines Numerical Model 1.2 Seabed Soil Model The height of seabed soil model is 4m, width of seabed soil model is taken 10 times of the diameter of pipelines, (i.e. 5.5m), length of seabed soil model is taken 100 times of the diameter of pipelines (i.e. 50m)[5], and the depth of offshore pipelines buried in the seabed soil is 1m.The interaction between seabed soil and offshore pipelines is very complex, Moor-Coulomb plasticity model is used in the numerical simulation of seabed soil, mainly through parameters of friction angle, expansion angle and cohesion to describe the mechanical properties of the soil. 1.3 Oil model Oil model is created by finite element software ABAQUS/CFD module and oil element type is FC3D8.
In the process of simulations, the interaction surface will change.

akhai_qimy@yahoo.com, bammar@ump.edu.my,c idriss@ump.edu.my Keywords: Aerodynamic, CFD, Drag, Pressure Coefficient.
During the simulation test, the wind tunnel speed varied to evaluate the effect of Reynolds Number on the measured drag.

The simulation is performed for a wide range of Reynolds number from 10,000 to 30,000 and the volume fraction of the solid nanoparticles in the base fluid is from 1% to 5%.
A commercial computational fluid dynamics software ANSYS Fluent 12 is employed for this simulation, k-ω SST turbulent model is chosen for the single phase analysis.
The simulation is carried out with two dimensional domain and axisymmetric condition at the centerline.
For the simulation, SIMPLE algorithm under second order upwind discretization scheme is employed.
To validate the commercial CFD code, the numerical results are compared with the Nusselt number obtained from Prandtl analogy [11], which is shown in fig. 2.

Based on CFD software, the effect of five different ways of the placement were analyzed; according to experimental station, the effect of three cases were detected, which verified the correctness of the simulation.
Therefore, this study uses the numerical simulation to calculate the air current.
We observe whether the change law of the pollutant concentration in the center of the test chamber is similar to the simulation.
It is as same as the conclusion of simulation project that Project C is better than Project A, and Project A is better than Project E.
Conclusions We adopt numerical simulation method to analysis the impact of the purifier location to the pollutant concentration distribution .

Simulation of Drill Pipe Lateral Vibration Due to Riser’s Oscillation Nabil Al Batatia, Fakhruldin M Hashimb and William Paoc Department of Mechanical Engineering, Universiti Teknologi PETRONAS, Malaysia abil_mt04@yahoo.com, bfakhruldin_mhashim@petronas.com.my, cwilliam.paokings@petronas.com.my Keywords: Marine riser, Drill pipe, Lateral Vibration, Vortex Shedding.
The results were compared with the experimental and simulation data from the open literature.
In this research, the vortex shedding was analyzed using a 2D fluid dynamic simulation in segmented depth from 1 meter to 500 meters on turbulent current model with a viscosity of 0.0015 N s/m2.
Riser Operating Condition Depth (m) Re Operation Pressure ( Pa ) Velocity ( m/s) 1 1,065,644 1762.44 1.86 60 836,473 704434.00 1.46 100 624,490 1106510.00 1.09 500 486,988 5127230.00 0.85 The result of CFD analysis is the drag coefficient of the riser, the drag coefficient can be transformed into drag force using equation (2) and will be inputted as mechanical force in the mechanical vibration analysis (2) where is the drag force, is the fluid density, is the drag coefficient, is the cross sectional area and is the velocity.

Simulations exhibits and quantify the response of the capillary motion to the thermal conditions.
Axisymmetric domain is considered for numerical simulation.
Simulations show that in a capillary tube flow and transfers depend on the condition imposed on the side walls.
Conclusion A computational model successfully used for CFD problems involving liquid bridge is extended to capillary tube configurations.
The simulation allows the access to the interfacial temperature and to characterise its interaction both with Ma convection and heating profile for conditions close to operating parameters used experimentally.

The model of cothSTHX has 34  tubes and 3 rods with tube layout of equilateral triangle and a baffle inclined angle of 20°, and the numerical simulation of flow and thermal performances was conducted using the commercial CFD software FLUENT.
Because numerical simulation study has become an effective tool in understanding the enhancement mechanism of heat transfer performance of heat exchangers.
Mathematical Model and Numerical Simulation of cothSTHX The 3D physical model of the cothSTHX was established using the pre-processing software Gambit.
The numerical simulation of heat transfer and pressure drop performance was conducted simultaneously for both the shell side and the tube side.
Numerical Simulation Results The simulated conditions of both sides with velocity and temperature were set to model in accordance of the actual water-to-water test conditions [12].

The assessment of evaporative cooling availability and utilization is done for five representative climatic cities, including Hong Kong, Shanghai, Beijing, Lanzhou and Urumqi in China, and the energy saving potential of the proposed air-conditioning system is analyzed by using a well validated building simulation code.
Recent advances in computer technology led to the use of the computational fluid dynamics (CFDs) to optimize the design of cooling tower for CC systems [7,8].
The slurry with a particle mass fraction of 0.3 is used for the simulation in this study, which is the upper band of mass fraction that still has a relatively low viscosity [12].
The chiller energy saving percentage has been obtained by using the energy simulation code ACCURACY based on hour-by-hour calculations.
Riffat, Numerical simulation of closed wet cooling towers for chilled systems, Applied Thermal Engineering 19 (12) (1999) 1279–1296

Numerical Study of Pressure Loss in Ceramic Bed of Thermal Flow Reversal Reactor Gao Zhenqianga, Liu Ruixiang and Liu Yongqi School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255049, People’s Republic of China asdgaozq@163.com Keywords: thermal flow reversal reactor, ceramic bed, pressure loss, modeling and simulation Abstract.
This paper describes the use of a commercial CFD code, FLUENT, to model fluid flow in thermal flow reversal reactor (TFRR) for lean methane oxidation.
Modeling and simulation of fluid flow in TFRR are carried out and pressure loss in ceramic bed of TFRR was focused on.

Fig. 1: Casting simulation figure by Ansys Fluent in x-z plane.
Fig. 3: Casting simulation figure by Ansys Fluent in x-y plane Model and Parameters  A more accurate simulation model has been created by Ansys-Fluent.
Two pouring velocities are used in the simulations: 450 mm/s and 485 mm/s.
Every simulation's average hot spot size and location have been studied carefully.
Namchanthra, A CFD Investigation into Molten Metal Flow and its Solidification under Gravity Sand Moulding in Plumbing Components, International Journal of Geomate. 22 (2022)