scholarly journals Pengaruh Jumlah Sudu 8, 12, 16 dan 20 terhadap Performa Hidro-Turbin Cross-Flow dengan sudut 15° Menggunakan Metode Computational Fluids Dynamics

2021 ◽  
Vol 6 (2) ◽  
pp. 88
Author(s):  
Dandun Mahesa Prabowoputra
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Shear Stress ◽  
Steady State ◽  
Cross Flow ◽  
Computational Fluids Dynamics ◽  
Shear Stress Transport ◽  
Computational Fluids

<p>Energi listrik merupakan kebutuhan primer dalam kehidupan sehari-hari. Perkembangan teknologi mengakibatkan meningkatnya kebutuhan energi listrik setiap tahunnya. Energi baru terbarukan memasok kebutuhan energi listrik nasional sebesar 14%. Di sisi lain, pemerintah mengharapkan komposisi energi baru terbarukan sebesar 23% hingga 31% pada tahun 2050. Hal ini menunjukan bahwa energi baru terbarukan masih memiliki gap yang cukup tinggi. Penelitian ini merupakan salah satu upaya dalam pengembangan energi baru terbarukan, terutama pada pembangkit listrik mikro-pico hidro. Penelitian ini dilakukan menggunakan metode <em>Computational Fluid Dynamics</em> menggunakan Aplikasi Ansys dengan CFX <em>Solver</em>. Penelitian dilakukan untuk mengetahui pengaruh jumlah sudu pada hidro-turbin <em>cross-flow</em> terhadap performa <em>Coefficient of Power</em>. Peneltian dilakukan pada rotor dengan dimensi diameter 80 mm, panjang 130 mm dan sudut sudu 15°. Variasi jumlah sudu dilakukan pada jumlah sudu 8, 12, 16, dan 20. Simulasi dilakukan pada <em>steady state,</em> dan menggunakan tipe turbulen <em>Shear Stress Transport</em>. Turbin <em>cross-flow</em> beroperasi pada kecepatan air 3m/s dengan kecepatan sudut pada interval 50 sampai 350 RPM.  Hasil menunjukan <em>Coefficient of Power Maximum</em> yang dihasilkan untuk sudu 8,12, 16 dan 20 adalah 10,8%; 14,1%; 16,8% dan 20,1%. Dari hasil tersebut menunjukan performa maksimal dihasilkan oleh hidro-turbin tipe <em>cross-flow</em> dengan jumlah sudu rotor 20.</p>

scholarly journals ANALISA PERFORMA HIDRO-TURBIN CROSS-FLOW DENGAN SUDUT DIAMETER RUNNER 10° DAN JUMLAH SUDU 8, 16, DAN 24 MENGGUNAKAN METODE CFD

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Muhammad Mu'izzul As'ad ◽  
Ahmad Janan Febrianto ◽  
Dandun Mahesa Prabowoputra
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Shear Stress ◽  
Renewable Energy ◽  
Angular Velocity ◽  
Cross Flow ◽  
Shear Stress Transport ◽  
Computational Fluid Dynamics Cfd

Hidro turbin adalah salah satu komponen utama pada pembangkit listrik tenaga air. Penelitian terhadap turbin air memiliki peran penting dalam pengembangan renewable energy yang bersumber dari tenaga hidro. Dimana Indonesia memiliki potensi sumber energi hidro yang sangat besar. Hidro-turbin memiliki beberapa jenis yaitu turbin Sumbu Horizontal, Turbin Sumbu vertical dan turbin Cross-Flow. Penelitian ini dilakukan pada turbin air tipe Cross-Flow, dan dilakukan dengan metode Computational Fluid Dynamics (CFD). Simulasi dilakukan secara tiga dimensi dan menggunakan perangkat lunak Ansys Student 2021 dengan solver CFX. Turbin cross-flow menggunakan runner dengan sudut 10°, dengan variasi jumlah sudu 8, 16, dan 24. Penelitian ini bertujuan untuk mengetahui performa turbin Cross-flow dan mengetahui pengaruh jumlah sudu pada performa tersebut. Turbin Cross-flow beroperasi pada kecepatan fluida 3m/s dan angular velocity 50-250 rpm. Simulasi menggunakan tipe turbulensi Shear Stress Transport dalam kondisi tunak, Hasil menunjukan turbin cross-flow dengan sudut runner 10o dan jumlah sudu 24 memiliki performa terbaik bila dibandingkan dengan jumlah sudu 8 dan 16.

scholarly journals SIMULASI DISTRIBUSI TEMPERATUR DAN KELEMBABAN RELATIF RUANGAN DARI SISTEM DEHUMIDIFIKASI MENGGUNAKAN COMPUTATIONAL FLUIDS DYNAMICS (CFD)

ROTASI ◽  
2017 ◽  
Vol 19 (1) ◽  
pp. 1
Author(s):  
Eflita Yohana ◽  
Bambang Yunianto ◽  
Ade Eva Diana
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Flow Simulation ◽  
Liquid Desiccant ◽  
Humidity Ratio ◽  
Computational Fluids Dynamics ◽  
Computational Fluids ◽  
Computational Fluid Dynamics Cfd

Dehumidifikasi merupakan proses pengurangan kadar uap air  yang berpengaruh terhadap besar nilai kelembaban relatif dan temperatur suatu ruangan. Dalam mengkondisikan kadar uap air dalam suatu ruangan tersebut agar dapat sesuai dengan kebutuhan, maka perlu diketahui distribusi kelembaban relatif dan temperatur dalam ruangan menggunakan Computational Fluid Dynamics (CFD). Pada penelitian ini, pengambilan data dilakukan selama 20 menit dan dilakukan pada pukul 08.00 WIB.  Liquid desiccant yang digunakan dijaga pada temperatur 10°C dengan variasi konsentrasi 40% dan 50%. Sensor DHT 11 dipasang pada lima sisi, atap, dinding, lantai, inlet, outlet, yang berfungsi untuk mencatat perubahan kelembaban dan temperatur selama pengujian berlangsung. Pada kondisi normal tanpa menyalakan alat dehumidifier, sensor mencatat temperatur rata-rata di dalam ruangan sebesar 29,9°C dan RH 58,9%. Simulasi dilakukan menggunakan software CFD Solidworks Flow Simulation 2014. Validasi hasil eksperimen dengan hasil simulasi dengan membandingan bahwa liquid desiccant 40% dan 50%, nozzle sprayer 0.2 mm dengan temperatur yang dijaga pada 10°C mempunyai distribusi yang cukup merata dengan konsentrasi 40% memiliki nilai RH terendah sebesar 65,21%, nilai RH tertinggi sebesar 68,99%, nilai ω = 18 gr/kg, serta mempunyai temperatur tertinggi 31,11°C dan temperatur terendah 30,05°C. Sedangkan dengan konsentrasi 50% distribusi dalam ruangan juga cukup merata karena memiliki nilai RH terendah sebesar 59,21%., nilai RH tertinggi sebesar 62,80%, nilai ω = 17 gr/kg, serta mempunyai temperatur tertinggi 31,71°C dan temperatur terendah 30,93°C. Sehingga liquid desiccant dengan konsentrasi 50% mempunyai nilai Humidity Ratio (ω) lebih rendah dibandingkan dengan yang memiliki konsentrasi 40%.

Turbulence modeling effects on the aerodynamic characterizations of a NASCAR Generation 6 racecar subject to yaw and pitch changes

2019 ◽  
Vol 233 (14) ◽  
pp. 3600-3620 ◽  
Author(s):  
Chen Fu ◽  
C Patrick Bounds ◽  
Christian Selent ◽  
Mesbah Uddin
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Shear Stress ◽  
Eddy Viscosity ◽  
Turbulence Models ◽  
Flow Region ◽  
Adverse Pressure Gradient ◽  
Navier Stokes ◽  
Shear Stress Transport ◽  
Reynolds Averaged Navier Stokes

The characterization of a racecar’s aerodynamic behavior at various yaw and pitch configurations has always been an integral part of its on-track performance evaluation in terms of lap time predictions. Although computational fluid dynamics has emerged as the ubiquitous tool in motorsports industry, a clarity is still lacking about the prediction veracity dependence on the choice of turbulence models, which is central to the prediction variability and unreliability for the Reynolds Averaged Navier–Stokes simulations, which is by far the most widely used computational fluid dynamics methodology in this industry. Subsequently, this paper presents a comprehensive assessment of three commonly used eddy viscosity turbulence models, namely, the realizable [Formula: see text] (RKE), Abe–Kondoh–Nagano [Formula: see text], and shear stress transport [Formula: see text], in predicting the aerodynamic characteristics of a full-scale NASCAR Monster Energy Cup racecar under various yaw and pitch configurations, which was never been explored before. The simulations are conducted using the steady Reynolds Averaged Navier–Stokes approach with unstructured trimmer cells. The tested yaw and pitch configurations were chosen in consultation with the race teams such that they reflect true representations of the racecar orientations during cornering, braking, and accelerating scenarios. The study reiterated that the prediction discrepancies between the turbulence models are mainly due to the differences in the predictions of flow recirculation and separation, caused by the individual model’s effectiveness in capturing the evolution of adverse pressure gradient flows, and predicting the onset of separation and subsequent reattachment (if there be any). This paper showed that the prediction discrepancies are linked to the computation of the turbulent eddy viscosity in the separated flow region, and using flow-visualizations identified the areas on the car body which are critical to this analysis. In terms of racecar aerodynamic performance parameter predictions, it can be reasonably argued that, excluding the prediction of the %Front prediction, shear stress transport is the best choice between the three tested models for stock-car type racecar Reynolds Averaged Navier–Stokes computational fluid dynamics simulations as it is the only model that predicted directionally correct changes of all aerodynamic parameters as the racecar is either yawed from the 0° to 3° or pitched from a high splitter-ground clearance to a low one. Furthermore, the magnitude of the shear stress transport predicted delta force coefficients also agreed reasonably well with test results.

Analysis and research on vehicle wading performance

2020 ◽  
Vol 235 (1) ◽  
pp. 3-15
Author(s):  
Zheng Xin ◽  
Su Donghai
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Shear Stress ◽  
Fluid Model ◽  
Dynamics Simulation ◽  
Turbulent Model ◽  
Wheel Rotation ◽  
Shear Stress Transport ◽  
Vof Model ◽  
Computational Fluid Dynamics Analysis

With the inclusion of the effects from wheels rotation, vehicle wading phenomenon was simulated using computational fluid dynamics tools and compared with road wading test. The new method utilizing the volume of fluid model to simulate the two-phase (water and air) flow when vehicle wades, Reynolds-Averaging Navier–Stokes simulation with both Realizable and shear stress transport turbulent models were conducted and the results indicated that the essential features of vehicle wading phenomenon were captured accurately. A relatively better correlation is achieved between computational fluid dynamics analysis and road test when shear stress transport turbulent model was utilized compared to using Realizable turbulent model. With the addition of the wheel rotation effects in vehicle wading simulation, the potential risks of water intrusion into the critical chassis and electronic components can be early detected and the frequent late design changes can be avoided. The new approach adopted in this study with VOF model and RANS simulation with SST turbulent model has shown that the benefits of shorter vehicle development cycles and parts warranty cost reduction. Thus, the results from computational fluid dynamics simulation with wheel rotation effects included can serve as the design guidance for any future vehicle wading developments.

Influence of the Curvature Correction on Turbulence Models for the Prediction of the Aerodynamic Coefficients of the S809 Airfoil

2021 ◽  
Vol 43 ◽  
pp. 45-57
Author(s):  
Mohammed Nebbache ◽  
Abdelkader Youcefi
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Shear Stress ◽  
Lift Coefficient ◽  
Turbulence Models ◽  
Aerodynamic Coefficients ◽  
Ansys Fluent ◽  
Curvature Correction ◽  
Shear Stress Transport ◽  
Sst Model

Using the appropriate procedure, Computational Fluid Dynamics allows predicting many things in several fields, and especially in the field of renewable energies, which has become a promising research axis. The present study aims at highlighting the influence of the curvature correction on turbulence models for the prediction of the aerodynamic coefficients of the S809 airfoil using the Computational Fluid Dynamics code ANSYS Fluent 17.2. Three turbulence models are used: Spalart-Allmaras, Shear Stress Transport k-ω and Transition SST. Experimental results of the 1.8 m × 1.25 m low-turbulence wind tunnel at the Delft University of Technology are used in this work for comparison with the numerical results for a Reynolds number of 106. The results show that the use of the curvature correction improves the prediction of the aerodynamic coefficients for all the turbulence models used. A comparison of the three models is also made using curvature correction since it gave better results. The Transition SST model is the one that gives the best results for the lift coefficient, followed by the Shear Stress Transport kω model, and finally the Spalart-Allmaras model. For the drag coefficient, Transition SST model is the best, followed by the Spalart-Allmaras model, and finally the Shear Stress Transport kω model.

Efficiency prediction for storage chambers using computational fluid dynamics

1996 ◽  
Vol 33 (9) ◽  
pp. 163-170 ◽  
Author(s):  
Virginia R. Stovin ◽  
Adrian J. Saul
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Shear Stress ◽  
Particle Tracking ◽  
Critical Value ◽  
Complex Geometries ◽  
Bed Shear Stress ◽  
Breadth Ratio ◽  
Computational Fluid Dynamics Cfd ◽  
Simulated Flow

Research was undertaken in order to identify possible methodologies for the prediction of sedimentation in storage chambers based on computational fluid dynamics (CFD). The Fluent CFD software was used to establish a numerical model of the flow field, on which further analysis was undertaken. Sedimentation was estimated from the simulated flow fields by two different methods. The first approach used the simulation to predict the bed shear stress distribution, with deposition being assumed for areas where the bed shear stress fell below a critical value (τcd). The value of τcd had previously been determined in the laboratory. Efficiency was then calculated as a function of the proportion of the chamber bed for which deposition had been predicted. The second method used the particle tracking facility in Fluent and efficiency was calculated from the proportion of particles that remained within the chamber. The results from the two techniques for efficiency are compared to data collected in a laboratory chamber. Three further simulations were then undertaken in order to investigate the influence of length to breadth ratio on chamber performance. The methodology presented here could be applied to complex geometries and full scale installations.

CFD Leakage Predictions of Unworn and Worn Labyrinth Seals With and Without Tooth Axial Offset

2017 ◽  
Author(s):  
Hasham H. Chougule ◽  
Alexander Mirzamoghadam
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Numerical Modeling ◽  
Steady State ◽  
Flow Field ◽  
Labyrinth Seals ◽  
Small Clearance ◽  
Total Leakage ◽  
Computational Fluid Dynamics Cfd ◽  
Flow Deflection

The objective of this study is to develop a Computational Fluid Dynamics (CFD) based methodology for analyzing and predicting leakage of worn or rub-intended labyrinth seals during operation. The simulations include intended tooth axial offset and numerical modeling of the flow field. The purpose is to predict total leakage through the seal when an axial tooth offset is provided after the intended/unintended rub. Results indicate that as expected, the leakage for the in-line worn land case (i.e. tooth under rub) is higher compared to unworn. Furthermore, the intended rotor/teeth forward axial offset/shift with respect to the rubbed land reduces the seal leakage. The overall leakage of a rubbed seal with axial tooth offset is observed to be considerably reduced, and it can become even less than a small clearance seal designed not to rub. The reduced leakage during steady state is due to a targeted smaller running gap because of tooth offset under the intended/worn land groove shape, higher blockages, higher turbulence and flow deflection as compared to worn seal model without axial tooth offset.

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