MEC8062 : Turbulent Fluid Flow and Modelling
MEC8062 : Turbulent Fluid Flow and Modelling
- Offered for Year: 2024/25
- Module Leader(s): Professor Nilanjan Chakraborty
- Lecturer: Dr Mohsen Lahooti, Dr Umair Ahmed, Dr Richard Whalley
- Owning School: Engineering
- Teaching Location: Newcastle City Campus
Semesters
Your programme is made up of credits, the total differs on programme to programme.
| Semester 2 Credit Value: | 20 |
| ECTS Credits: | 10.0 |
| European Credit Transfer System | |
Pre-requisite
Modules you must have done previously to study this module
Pre Requisite Comment
Minimum English Language to IELTS 6.0 or Pearsons 54 or equivalent. Satisfy progression or admissions requirement for entry to Stage 3 of CEng-accredited BEng/MEng Honours degree programme (or EU Bologna- compliant equivalent) by satisfactory completion of Stage 2 or equivalent at NQF Level 5 normally with two years of prior study related to this topic); or meeting the Newcastle University entrance requirement for any Masters-level degree programme specifying this particular module in its Degree Regulations.
Co-Requisite
Modules you need to take at the same time
Co Requisite Comment
N/A
Aims
To introduce students to the physics of fluid turbulence, mathematical modelling of turbulent fluid motion in free shear layers, boundary layers and internal flows, influence of turbulence on scalar transport (i.e. heat and mass transfer), closure problem of turbulence and the need for turbulence modelling. The students will also be given introductions to different computational methodologies for the analysis of turbulent flows along with their advantages and limitations. They will also be introduced to experimental diagnostics of turbulent flows with their advantages and limitations.
Outline Of Syllabus
The syllabus will cover
- Introduction to fluid turbulence: Statistical description and length and time scales of turbulence; Governing equations and concepts of Reynolds and Favre averaging and turbulent kinetic energy spectrum, closure problem of turbulence, physics of turbulent transport
- Turbulent flow behaviours: Free shear flows (e.g. jets, shear layers, wakes); Turbulent boundary layer
- Computational modelling of turbulent flows: Simulation methodologies of turbulent flows; different methodologies of turbulence modelling with their advantages and limitations
- Experimental analyses of turbulent flows: Different experimental diagnostic methods with their advantages and limitations
Learning Outcomes
Intended Knowledge Outcomes
On successful completion of this course, students will be able to demonstrate knowledge and understanding of:
- The physical processes governing turbulent fluid motion and turbulent scalar transport. (M1)
- The challenges associated with the analysis of turbulent fluid motion using both experimental and computational methodologies. (M2,M3,M6)
- The methodologies and philosophies of turbulence modelling along with their relative merits and limitations. (M3,M4,M6,M17)
Intended Skill Outcomes
On successful completion of this course, students will develop the following subject specific and intellectual skills:
- Apply a comprehensive knowledge of fluid dynamics, statistical techniques, and engineering principles to the solution of complex turbulent flow problems (M1)
- Use the available data using first principles of mathematics, fluid dynamics and engineering judgement to come substantiated conclusions (M2)
- Select and apply appropriate computational and experimental techniques to model/analyse complex turbulent fluid flow problems and identify the relative merits and limitations of the chosen technique (M3)
- Select and critically evaluate technical literature related to turbulent fluid flow to solve problems of engineering relevance (M4)
- Apply an integrated or system approach to the solutions of turbulent fluid flow problems (M6)
- Communicate technical information related to turbulent flow simulation and experimental data with proper critique of the methodology to technical audience (M17)
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Guided Independent Study | Assessment preparation and completion | 1 | 15:00 | 15:00 | Examination revision |
| Scheduled Learning And Teaching Activities | Lecture | 9 | 3:00 | 27:00 | Structured presentation of syllabus may include skills demonstration, formative feedback etc |
| Guided Independent Study | Assessment preparation and completion | 1 | 2:00 | 2:00 | Examination |
| Guided Independent Study | Assessment preparation and completion | 2 | 20:00 | 40:00 | Target non-timetable hours for self-study and complete coursework assignment submissions |
| Guided Independent Study | Directed research and reading | 52 | 2:00 | 104:00 | Includes background reading and review of lecture notes for a full understanding of reading material |
| Scheduled Learning And Teaching Activities | Practical | 3 | 1:00 | 3:00 | Laboratory demonstration of different experimental methods |
| Scheduled Learning And Teaching Activities | Small group teaching | 9 | 1:00 | 9:00 | Tutorials |
| Total | 200:00 |
Teaching Rationale And Relationship
Directed study and the formal lectures will provide an effective method for students to assimilate the knowledge content, define the scope of the syllabus topics and attain the required knowledge and skill outcomes. The directed study allows students to work through material at their own pace allowing them to develop an in-depth understanding of the material.
Reading Lists
Assessment Methods
The format of resits will be determined by the Board of Examiners
Exams
| Description | Length | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|---|
| Written Examination | 120 | 2 | A | 40 | N/A |
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Case study | 2 | M | 30 | Use of experimental and simulation data and their interpretation |
| Case study | 2 | M | 30 | Assessment of turbulence models |
Assessment Rationale And Relationship
Coursework exercise used to assess the ability to effectively carry out modeling and analysis. The coursework provides an appropriate way to assess practical problem-solving skills.
The examination provides an appropriate way to assess both theoretical understanding and problem-solving skills under time constraint as required in industry.
Study abroad students considering this module should contact the School to discuss its availability and assessment.
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- MEC8062's Timetable
Past Exam Papers
- Exam Papers Online : www.ncl.ac.uk/exam.papers/
- MEC8062's past Exam Papers
General Notes
N/A
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The information contained within the Module Catalogue relates to the 2024 academic year.
In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described.
Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2025/26 entry will be published here in early-April 2025. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.