Numerical Test Tank: Simulation of Ocean Engineering Problems by Computational Fluid Dynamics

1997 ◽  
Author(s):  
C.R. Ortloff ◽  
M.J. Krafft
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Numerical Test ◽  
Ocean Engineering ◽  
Test Tank ◽  
Engineering Problems

scholarly journals Lattice Boltzmann Method Applied to Nuclear Reactors—A Systematic Literature Review

2020 ◽  
Vol 12 (18) ◽  
pp. 7835
Author(s):  
Johan Augusto Bocanegra Cifuentes ◽  
Davide Borelli ◽  
Antonio Cammi ◽  
Guglielmo Lomonaco ◽  
Mario Misale
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Literature Review ◽  
Lattice Boltzmann Method ◽  
Numerical Method ◽  
Systematic Literature Review ◽  
Lattice Boltzmann ◽  
Nuclear Engineering ◽  
Engineering Problems ◽  
Boltzmann Method

Nuclear engineering requires computationally efficient methods to simulate different components and systems of plants. The Lattice Boltzmann Method (LBM), a numerical method with a mesoscopic approach to Computational Fluid Dynamic (CFD) derived from the Boltzmann equation and the Maxwell–Boltzmann distribution, can be an adequate option. The purpose of this paper is to present a review of the recent applications of the Lattice Boltzmann Method in nuclear engineering research. A systematic literature review using three databases (Web of Science, Scopus, and ScienceDirect) was done, and the items found were categorized by the main research topics into computational fluid dynamics and neutronic applications. The features of the problem addressed, the characteristics of the numerical method, and some relevant conclusions of each study are resumed and presented. A total of 45 items (25 for computational fluid dynamics applications and 20 for neutronics) was found on a wide range of nuclear engineering problems, including thermal flow, turbulence mixing of coolant, sedimentation of impurities, neutron transport, criticality problem, and other relevant issues. The LBM results in being a flexible numerical method capable of integrating multiphysics and hybrid schemes, and is efficient for the inner parallelization of the algorithm that brings a widely applicable tool in nuclear engineering problems. Interest in the LBM applications in this field has been increasing and evolving from early stages to a mature form, as this review shows.

Enhancing the Teaching of Fluid Mechanics and Transport Phenomena via FlowLab: A Computational Fluid Dynamics Tool

Volume 1 ◽  
2004 ◽  
Author(s):  
Jennifer Sinclair Curtis ◽  
Kimberly Henthorn ◽  
Shane Moeykens ◽  
Murali Krishnan
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Fluid Mechanics ◽  
Engineering Students ◽  
Chemical Engineering ◽  
Transport Phenomena ◽  
Operating Conditions ◽  
Structured Learning ◽  
Post Processing ◽  
Engineering Problems

Introducing Computational Fluid Dynamics (CFD) to engineering students at the undergraduate level has become more common in recent years, although there are significant barriers for doing so using a generalized CFD solver. A common constraint is the quantity of material to be covered in a fixed amount of time in a given course, which leaves little time left for learning the use of a generalized CFD package. With this consideration in mind, FlowLab (www.flowlab.fluent.com) was introduced by Fluent Inc. FlowLab may be described as a virtual fluids laboratory—a computer based analysis and visualization package. Using FlowLab, students solve predefined CFD exercises. These predefined exercises facilitate teaching and provide students with hands-on CFD experience. Through the design of each FlowLab exercise, students are introduced to engineering problems and concepts as well as CFD via a structured learning process. In the fall 2003 semester at Purdue University, FlowLab was used in CHE 540, a transport phenomena course offered within the School of Chemical Engineering. This course is open to advanced undergraduate engineering students and graduate students. Students were exposed to eight separate FlowLab exercises in this course. This paper gives a detailed summary of one of these specific exercises, developing flow in a pipe with and without heat transfer. The paper emphasizes how the use of CFD via FlowLab enhanced the teaching of specific concepts in transport phenomena as well as concepts in CFD such as creating a parametric geometry, discretizing the geometry, specifying boundary conditions, material properties and operating conditions, numerical solution techniques and post-processing. Experiences from this course are that FlowLab is a positive force for creating student interest and excitement in the area of fluid mechanics and transport phenomena. Using FlowLab’s post-processing capabilities, students were able to visualize complex flow fields and make direct comparison to analytical theory and experimental correlation. In addition, FlowLab provided a structured learning experience which reinforced proper pedagogy for applying CFD to engineering problems. Upon completion of the course, a student survey was performed in CHE 540 focusing on FlowLab integration and usage, and survey responses are summarized in this paper.

scholarly journals MODEL ANALITIK SLOSHING TANGKI- MUAT PADA OLAH GERAK KAPAL FLOATING LIQUEFIED NATURAL GAS (FLNG) = ANALITICAL MODEL OF SLOSHING IN STORAGE TANK ON FLOATING LIQUEFIED NATURAL GAS (FLNG) SHIP MOTION

2015 ◽  
Vol 9 (1) ◽  
pp. 1-12
Author(s):  
Luhut Tumpal Parulian Sinaga
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Natural Gas ◽  
Numerical Simulations ◽  
Computational Fluid Dynamic ◽  
Fluid Dynamic ◽  
Model Testing ◽  
Liquefied Natural Gas ◽  
Ship Motion ◽  
Ocean Engineering

Studies on the effect of sloshing motion and heave coupling picth after receiving an external force wage varying wave energy and angular variation headings. This study will conduct a study of physical model testing with mooring configuration and MAT-LAB program of mathematical models free floating barge matika mechanism through numerical simulations and computational fluid dynamic (CFD). This riset aims to observe and explain the effect of sloshing on ship motions and the interaction with the research methodology systematically carried through the calculation/numerical simulations (Mathematics and Computational Fluid Dynamics Laboratory), and the physical scale model testing (at Maneuvering and Ocean Engineering Basin).The results of the study through experiments and numerical phenomenon suggests that the effect of sloshing on the effect of ship motion can be well understood. Pressure due to the wave heading angle of 90 degrees gives a higher impact pressure. Style sloshing is not directly proportional to the amplitude of excitation. AbstrakKajian pengaruh dari sloshing terhadap gerakan kopel heave dan picth setelah menerima gaya external berupa energi gelombang yang bervariasi dan variasi sudut heading. Kajian ini akan melakukan kajian pengujian model fisik dengan konfigurasi tambat yang dan program matematik MAT-LAB dari model matematika free floating barge mechanism serta melalui simulasi numerik computational fluid dynamic (CFD).Penelitian bertujuan mengamati dan menjelaskan pengaruh sloshing terhadap gerakan kapal dan interaksi tersebut secara sistimatis dengan metodologi penelitian yang dilakukan melalui perhitungan/ simulasi numerik (mathematics laboratory dan computational fluid dynamics), dan pengujian model skala fisik (di maneuvering and ocean engineering basin). Konfigurasi geometri model yang disimulasikan dan diuji adalah tipe FLNG dengan tangki berisi muatan cair yang memungkinkan terdapat permukaan bebas.Hasil kajian melalui eksperimen dan numerik menunjukkan bahwa efek fenomena sloshing terhadap pengaruh gerakan kapal dapat diketahui dengan baik. Pada sudut heading 900 terdapat gerakan yang tidak jelas sehingga perlu adanya investigasi lebih lanjut. Persamaan nonlinier aliran sloshing sangat diperlukan untuk dapat menghitung besaran gerakan kapal. Tekanan akibat gelombang pada sudut heading 900 memberikan dampak tekanan yang lebih tinggi. Gaya sloshing tidak berbanding lurus dengan amplitudo eksitasi. Oleh karena itu, gerakan kapal ditambah dengan sloshing tidak bervariasi secara linier terhadap amplitudo gelombang. 

scholarly journals Towards a Computational Fluid Dynamics-Based Fuzzy Logic Controller of the Optimum Windcatcher Internal Design for Efficient Natural Ventilation in Buildings

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Ashraf Balabel ◽  
Mohammad Faizan ◽  
Ali Alzaed
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Turbulence Model ◽  
Fuzzy System ◽  
Natural Ventilation ◽  
Experimental Measurements ◽  
Proposed Model ◽  
Engineering Problems ◽  
Ventilation Performance ◽  
Omega Model

Recently, increased attention has been given to the coupling of computational fluid dynamics (CFD) with the fuzzy logic control system for obtaining the optimum prediction of many complex engineering problems. The data provided to the fuzzy system can be obtained from the accurate computational fluid dynamics of such engineering problems. Windcatcher performance to achieve thermal comfort conditions in buildings, especially in hot climate regions, is considered as one such complex problem. Windcatchers can be used as natural ventilation and passive cooling systems in arid and windy regions in Saudi Arabia. Such systems can be considered as the optimum solution for energy-saving and obtaining thermal comfort in residential buildings in such regions. In the present paper, three-dimensional numerical simulations for a newly-developed windcatcher model have been performed using ANSYS FLUENT-14 software. The adopted numerical algorithm is first validated against previous experimental measurements for pressure coefficient distribution. Different turbulence models have been firstly applied in the numerical simulations, namely, standard k-epsilon model (1st and 2nd order), standard Wilcox k-omega model (1st and 2nd order), and SST k-omega model. In order to assess the accuracy of each turbulence model in obtaining the performance of the proposed model of the windcatcher system, it is found that the second order k-epsilon turbulence model gave the best results when compared with the previous experimental measurements. A new windcatcher internal design is proposed to enhance the ventilation performance. The fluid dynamics characteristics of the proposed model are presented, and the ventilation performance of the present model is estimated. The numerical velocity profiles showed good agreement with the experimental measurements for the turbulence model. The obtained results have shown that the second order k-epsilon turbulence can predict the different important parameters of the windcatcher model. Moreover, the coupling algorithm of CFD and the fuzzy system for obtaining the optimum operating parameters of the windcatcher design are described.

COMPUTATIONAL FLUID FLOW AND HEAT TRANSFER – AN ENGINEERING TOOL

1991 ◽  
Vol 15 (2) ◽  
pp. 125-135
Author(s):  
Martha Salcudean
Keyword(s):  
Heat Transfer ◽  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Fluid Flow ◽  
Convergence Rate ◽  
Turbulence Modelling ◽  
Flow And Heat Transfer ◽  
Engineering Problems ◽  
Computational Fluid Flow

The purpose, method and potential of computational fluid dynamics are discussed. Examples of CFD and heat transfer applications to engineering problems are described. Some limitations related to discretization, convergence rate and turbulence modelling are illustrated through examples, and possible remedies arc discussed.

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