B2379 - Experimental Fluid Mechanics

Learning outcomes

Students learn advanced fluid mechanics with applications in aerodynamics, compressible hydromechanics and turbulence mixing, and related experimental methods including ultrasound and optical velocimetry for the investigation of fluid flow

Course contents

• Fundamentals on fluid kinematics
• Fundamentals on differential equations
• Inviscid and irrotational flows
• No-slip condition and the boundary layer
• Turbulence flow
• External flow: drag and lift
• Ultrasound Techniques
• Optical Methods

Readings/Bibliography

Yunus A. Cengel, John M. Cimbala. Fluid Mechanics: Fundamentals and Applications (fourth edition) McGraw-Hill Education, 2018.

Christophe Bailly, Geneviève Comte-Bellot. Turbulence, Springer, 2015.

Aberle, J.; Rennie, C.D.; Admiraal, D.M.; Muste, M. Experimental Hydraulics: Methods, Instrumentation, Data Processing and Management – IAHR Monograph; CRC Press, Taylor & Francis Group, London UK, 2017.

Teaching methods

This course supports the University's didactic innovation project which provides a blended format.

Classes will be aimed at developing and clarifying the fundamental choices for an effective hybrid modeling (i.e., mathematical / experimental) in fluid mechanics. This will be achieved through some practical activities in presence accompanied by analysis and modeling in a typical "LABORATORY HANDS-ON" approach. This will be preparatory to the final exam.

These activities are:
1. Exercises aimed at graphically visualizig and parameterizing the variables of interest (e.g., velocity and pressure fields, current lines, potential isolines, velocity profiles and boundary layer parameters) and for the analysis of experimental data (PTV, PIV, LDA, UVP, ADV) with the help of Matlab scripts made available by the teacher

2. Hands-on activity at the Hydraulic Engineering Lab. of the University of Bologna aimed at exemplifying the experimental methods covered in the course and collecting UVP and ADV data to be applied in the proposed assignments

Students Working Groups (supervised by teacher and the laboratory staff) will measure the flow field around a rigid body and close to rough/wavy boundary to be critically compared to anlytical results. The experimental data analysis might take place online; to this end, Matlab scripts, figures and videos will be provided on https://virtuale.unibo.it/

TO ENTER INTO THE HYDRAULIC LABORATORY STUDENTS MUST HAVE COMPLETED SAFETY TESTS, NAMELY "MODULO 3".

ThIs course contributes to the UN's 17 Sustainable Development Goals (SDGs). In particular, the Objectives:

4 - Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all

10 - Reduce inequality within and among countries

in fact, they are pursued by stimulating collaboration between students divided into heterogeneous groups by origin and background.

The theoretical part will be presented in face-to-face lessons. This will include the development of graphic examples on the blackboard, and the using of projected slides that will be made available in electronic format.

Assessment methods

Two methods are available: 1st) candidate presents his personal work and understanding regarding experimental dataset acquired in the Hydraulic Engineering Laboratory, 2nd) candidate is probed with a short interview on EFM class topics. In both cases single candidate exam takes about 15 min.

In more details, students aiming at experimental dataset methodology, upon email request, will be provided with a specific task regarding the experimental dataset 1-2 weeks before the fixed date for the exam. This method is recommended for students attending EFM classes since the beginning and belonging to laboratory Working Groups.

As an alternative, short interview will consist of two questions one focusing on Ultrasound techniques and Optical methods and another focusing on Boundary layer, Turbulence flow and External flow.

Students belonging to the same Working Group can choose different methodologies.

For students willing to the 1^st method, actively attending laboratory experiences and classes focusing on data post-processing are mandatory.

Teaching tools

Teaching material such as handouts and presentations shown during classes, Matlab scripts and experimental data of assignments will be uploaded to the teaching page on

https://virtuale.unibo.it/

Office hours

See the website of Massimo Guerrero