Incorporation of Computational Fluid Dynamics into a Fluid Mechanics Curriculum

Adair, Desmond

doi:10.5772/39217

Cited by 7 publications

(4 citation statements)

References 12 publications

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“…In the continuous domain, each flow variable is defined at every point in the domain. In the discrete domain, each flow variable is defined only at the grid points (Adair, 2012). CFD solves a broad range of incompressible flow problems using a second-order projection method.…”

Section: Cfd Analysismentioning

confidence: 99%

Review on modelling of friction stir welding using finite element approach and significance of formulations in simulation

Malik¹,

Sanjeev²,

Bajakke³

2020

IJMR

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Friction stir welding (FSW) is a solid-state joining process, which is gaining significance in many joining applications, by overcoming the limitations of other fusion welding processes. For successful incorporation of its potential during industrial applications, mechanism of joining needs to be properly comprehended. The solution lies in developing effective and reliable finite element (FE) model of the FSW process, which would help in getting an insight of the process phenomena (like material flow, heat generation, etc.) during the process. The overall result could be used to observe the effect of process parameters on weld quality. Several attempts have been made to develop an FE model for FSW using different techniques. However, building an efficient model that emulates reality is still to be realised. Here, a review is made to know the current state of various FE modelling techniques and identifying better techniques for simulating FSW and its variants. This review also highlights shortcomings (for ex: mesh distortion, simulation time, the capability of defect prediction) of previous models and discusses on grey areas which are still to be addressed in the broader perspective of FSW and its allied processes using FE approach.

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Section: Cfd Analysismentioning

confidence: 99%

Review on modelling of friction stir welding using finite element approach and significance of formulations in simulation

Malik¹,

Sanjeev²,

Bajakke³

2020

IJMR

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“…Moreover, it is not only mathematical knowledge that is a barrier; CFD requires expertise in at least four knowledge domains [14]: flow physics, numerical methods, computer programming, and validation, either experimental or theoretical. Thankfully, this has not stopped academics from developing and researching methods to integrate CFD into undergraduate courses [13][14][15][16][17][18][19][20][21]. Some have offered best practices guides and advice for future CFD undergraduate courses [13,21].…”

Section: Introductionmentioning

confidence: 99%

Suite-CFD: An Array of Fluid Solvers Written in MATLAB and Python

Battista¹

2020

Fluids

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Computational Fluid Dynamics (CFD) models are being rapidly integrated into applications across all sciences and engineering. CFD harnesses the power of computers to solve the equations of fluid dynamics, which otherwise cannot be solved analytically except for very particular cases. Numerical solutions can be interpreted through traditional quantitative techniques as well as visually through qualitative snapshots of the flow data. As pictures are worth a thousand words, in many cases such visualizations are invaluable for understanding the fluid system. Unfortunately, vast mathematical knowledge is required to develop one’s own CFD software and commercial software options are expensive and thereby may be inaccessible to many potential practitioners. To that extent, CFD materials specifically designed for undergraduate education are limited. Here we provide an open-source repository, which contains numerous popular fluid solvers in 2 D (projection, spectral, and Lattice Boltzmann), with full implementations in both MATLAB and Python3. All output data is saved in the . v t k format, which can be visualized (and analyzed) with open-source visualization tools, such as VisIt or ParaView. Beyond the code, we also provide teaching resources, such as tutorials, flow snapshots, measurements, videos, and slides to streamline use of the software.

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“…The overall cost of an experiment is significantly reduced with the introduction of numerical simulation. The computational fluid dynamics (CFD) simulations integrated into curriculums and projects for undergraduate students fall into this category [1,14,16,18]. The last one is a fully softwarebased virtual laboratory which likes a computer game.…”

Section: Introductionmentioning

confidence: 99%

Virtual emulation laboratories for teaching offshore oil and gas engineering

Zhu

Zhi

Xiong

et al. 2018

Comp Applic In Engineering

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Offshore practical training is extremely challenging for undergraduate students from the point of view of security. In order to create a safe training environment for offshore oil and gas engineering education, three virtual emulation laboratories have been developed. The components, functions, and connections of the emulators are described in this paper. The use of these laboratories and the feeling of students are discussed. It is evident from the evaluation of learning outcomes that using such virtual laboratories is a preferred approach to cultivate the practical skills of undergraduate students more safely and economically. Moreover, the confidence and innovative capability are enhanced significantly.

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Incorporation of Computational Fluid Dynamics into a Fluid Mechanics Curriculum

Cited by 7 publications

References 12 publications

Review on modelling of friction stir welding using finite element approach and significance of formulations in simulation

Review on modelling of friction stir welding using finite element approach and significance of formulations in simulation

Suite-CFD: An Array of Fluid Solvers Written in MATLAB and Python

Virtual emulation laboratories for teaching offshore oil and gas engineering

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