Learning by Doing on Computational Fluid Dynamics

2016 ◽  
Author(s):  
Teresa Parra-Santos ◽  
José M. Molina Jordá ◽  
Gabriel Luna-Sandoval ◽  
Mariano Cacho-Perez ◽  
J. Rubén Pérez
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Engineering Students ◽  
Active Role ◽  
Learning By Doing ◽  
Critical Thought ◽  
Multimedia Material ◽  
Technical Report ◽  
Scale Down ◽  
The University

This work involves the methodology used in the University of Valladolid for Mechanical Engineering students to learn Computational Fluid Dynamics playing an active role. Students pretend to be engineers in a consulting or design office carrying out a fluid mechanics scale down projects. Later they act as reviewers evaluating a project from a colleague. There is a deeper understanding of the topic when they need to discuss the strategies to accomplish the project, to write a technical report and finally to justify the evaluation of other works. Furthermore, they develop their critical thought, writing skills and synthesis capacity. Multimedia material from other institutions that review the concepts learned in the course can be a suitable way to improve the understanding of concepts.

Practical Learning on Computational Fluid Dynamics at Undergraduate Level

2016 ◽  
Author(s):  
Teresa Parra-Santos ◽  
José M. Molina Jordá ◽  
Gabriel Luna-Sandoval ◽  
Mariano Cacho-Perez ◽  
J. Rubén Pérez
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Engineering Students ◽  
Active Role ◽  
Flow Patterns ◽  
Industrial Applications ◽  
Similar Degree ◽  
Test Cases ◽  
Critical Thought ◽  
Grid Points

This work involves a methodology for Mechanical Engineering students to learn Computational Fluid Dynamics playing an active role. Students carry out a fluid mechanics down scaled projects with the steps of sensibility of mesh, convergence of numerical algorithm, validation of turbulence model and description of flow patterns. Furthermore, they develop their critical thought when they identify weak points susceptible for improvement. The offer of benchmark test cases ranges from head loses, driven cavities, swirling flows, to external aerodynamics. Simplifications to the level of undergraduate courses imply two dimensional simulations and a limited number of grid points. Hence, the assessment is based in coherence of decisions and efficient use of limited resources. A review of the offer of workshops is supplied, such as the Ahmed car, the Roback and Johnson burner, aerodynamics of different NACA airfoils, and different geometries of driven cavities. These are classical test cases of numerical research and a sample of applications in wind energy, industrial furnaces, and lubrication. Parametrization based in geometry, Reynolds number, Pitch angle among other, let simulate different flow patterns with similar degree of difficulty. There is a deeper understanding of the topic when students need to discuss the strategies to accomplish the project, they need to write a technical report and finally they need to justify the evaluation of other works. Also, it is important to link the simplified projects of the workshop with the real world and the industrial applications.

Benchmarking for Practical Training in Computational Fluid Dynamics

2015 ◽  
Vol 17 (1) ◽  
pp. 1-12
Author(s):  
M. Teresa Parra-Santos ◽  
Francisco Castro
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Numerical Models ◽  
Collaborative Work ◽  
Learning By Doing ◽  
Design Tool ◽  
Practical Training ◽  
Critical Thought ◽  
Weak Points ◽  
Skills Learning

Computational Fluid Dynamics (CFD) is the useful design tool for engineers that requests strong knowledge of fluid mechanics and numerical skills. Learning by doing has significant impact on the success rate of this difficult subject. This paper presents a workshop developed for engineering degree where different scaled down projects is accomplished by students and peers evaluated. Students improve their understanding of the strong and weak points of the numerical models and gain an insight into the fluid dynamics processes learnt in the classroom. Beside, other transversal skills are developed such as critical thought and collaborative work.

Open-Source Computational Fluid Dynamics in Engineering Education

2019 ◽  
Author(s):  
Ivaylo Nedyalkov
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Engineering Education ◽  
Open Source ◽  
Code Base ◽  
Undergraduate Engineering Education ◽  
Computational Fluid Dynamics Cfd ◽  
The University ◽  
University Of New Hampshire ◽  
Mathematics And Physics

Abstract Computational Fluid Dynamics (CFD) is widely used in industry but is not discussed sufficiently in undergraduate engineering education. In some cases, CFD is studied only from a mathematical perspective, focusing on computational partial differential equations, and in some cases it is introduced as a black-box tool. A hybrid CFD class was developed for undergraduate and graduate students at the University of New Hampshire, which combines the two approaches. The students are exposed to the mathematics and physics behind CFD, and they also utilize OpenFOAM — an open source CFD package — to work on practical problems. Since the code is open-source, the students are able to see and modify it. Although OpenFOAM is challenging due to the minimum graphical user interface, the code-base environment forces the students to learn what the code is doing. Sample assignments and project submissions from the students are presented in the paper.

Computational Fluid Dynamics (CFD) Within Undergraduate Programs

2007 ◽  
Author(s):  
Kim A. Shollenberger
Keyword(s):  
United States ◽  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Mechanical Engineering ◽  
Manufacturing Industry ◽  
Engineering Students ◽  
Geographic Location ◽  
Undergraduate Curriculum ◽  
The United States ◽  
Computational Fluid Dynamics Cfd

There has been a rapid increase over the past three decades in the use of computational fluid dynamics (CFD) analysis by industry as a tool to design and manufacture products. It is currently a vital part of the engineering process for many companies around the world, and utilized in nearly every manufacturing industry. Employers of engineering students who perform this type of analysis have expressed the need for students at the undergraduate or B.S. level to have some CFD experience. As a result, engineering programs in the United States have begun to respond to this need by developing new curriculum and by exposing students to the use of CFD for research. The level of incorporation and implementation of CFD into the undergraduate curriculum and research at institutions varies widely. The objective of this paper is to conduct a survey of the current use of CFD in the undergraduate curriculum within mechanical engineering departments in the United States. Twenty ABET accredited U.S. schools that offer a B.S. degree in mechanical engineering are investigated in this study that are a representative sample of engineering schools in the U.S. today in terms of admission standards, private versus public, predominate terminal degree, size, and geographic location. Topics investigated include if CFD classes are offered to undergraduates whether they are required or optional, when they are first introduced into the curriculum, number of credit hours dedicated to CFD, types of courses that include CFD, and whether commercial or in-house codes are utilized.

scholarly journals Euler-Lagrange computational fluid dynamics for (bio)reactor scale down: An analysis of organism lifelines

2016 ◽  
Vol 16 (7) ◽  
pp. 652-663 ◽  
Author(s):  
Cees Haringa ◽  
Wenjun Tang ◽  
Amit T. Deshmukh ◽  
Jianye Xia ◽  
Matthias Reuss ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Scale Down

A New Perspective on Scale-Down Strategies for Freezing of Biopharmaceutics by Means of Computational Fluid Dynamics

2020 ◽  
Vol 109 (6) ◽  
pp. 1978-1989 ◽  
Author(s):  
Vitor Geraldes ◽  
Diana C. Gomes ◽  
Pedro Rego ◽  
Deborah Fegley ◽  
Miguel A. Rodrigues
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Scale Down ◽  
New Perspective

A Creativity and Innovation Course for Engineers

2016 ◽  
pp. 74-93
Author(s):  
Giovanni Emanuele Corazza ◽  
Sergio Agnoli ◽  
Sara Martello
Keyword(s):  
Creative Thinking ◽  
Engineering Students ◽  
Business Models ◽  
Cognitive Strategies ◽  
Relevant Information ◽  
Learning By Doing ◽  
Theory And Practice ◽  
The University ◽  
Start Ups ◽  
Creativity And Innovation

In this chapter, the teaching methodologies and pedagogical styles adopted within the “Creativity and Innovation”course, offered at the University of Bologna in Italy are described. The main goal of the course is to give students both a theoretical foundation and a hands-on experience about meta-cognitive strategies for the control of the creative thinking process. The students were engaged in the selection of a focus area within the range promoted by a call for new start-ups, creating the playground for team-oriented sessions in which relevant information was collected, divergent modifiers were applied, ideas were generated, business models were sketched and assessed, and finally concluding the course with a team presentation of the generated ideas. The feedback received from the engineering students was very positive. While the ideational part of the class followed a learning-by-doing approach, this was preceded by a specific theoretical part, striking an effective balance between theory and practice.

CFD Challenge: Modeling Blood Flow Dynamics in a Cerebral Aneurysm Using Fluent

2012 ◽  
Author(s):  
Nicholas Shaffer ◽  
Francis Loth
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Blood Flow ◽  
Cerebrospinal Fluid ◽  
Fluid Motion ◽  
Flow Dynamics ◽  
Cfd Modeling ◽  
Blood Flow Dynamics ◽  
Computational Fluid Dynamics Cfd ◽  
The University

The Biofluids Laboratory at the University of Akron has used Fluent [Ansys Inc., Canonsburg, PA] for image-based computational fluid dynamics (CFD) modeling of physiological flows since the lab’s inception in 2008. Recently our group has focused on modeling of pathophysiological problems in cerebrospinal fluid motion and air flow in the trachea, in addition to past work in cardiovascular problems.

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