99605 - Experimental Fluid Mechanics (2nd cycle) 6 cfu

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, 4th 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 of face-to-face and remote classes.

Remote 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 on-line 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 visdualizig 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 groups (supervised by teacher and the lab.y 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 will also take place online; to this end, Matlab scripts, figures and videos will be provided on https://virtuale.unibo.it/

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 group report will concour to the final evaluation.

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

Students groups will present and discuss online with the teacher a written document in a form of peer to peer collaboration. This will describe the laboratory and modeling activities and the results obtained, highlighting difficulties, advantages and limitations of the different approaches. This discussion will lead to the final evaluation.

Before the oral exam session, the final paper will be delivered, which incorporates the peer to peer discussion and which summarizes: objectives, methods and results of the proposed assignments during the course. This paper will be presented and discussed during the axamination using Power Point. The final evaluation will be on group paper and the personal presentation / discussion given by each candidate.

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