Module Catalogue 2024/25

MEC3028 : Computational Heat and Fluid Flow

MEC3028 : Computational Heat and Fluid Flow

  • Offered for Year: 2024/25
  • Module Leader(s): Dr Mohsen Lahooti
  • Lecturer: Professor Nilanjan Chakraborty
  • Owning School: Engineering
  • Teaching Location: Newcastle City Campus
Semesters

Your programme is made up of credits, the total differs on programme to programme.

Semester 1 Credit Value: 10
ECTS Credits: 5.0
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 develop the basic knowledge of numerical methods in computational fluid dynamics (CFD)
To apply such knowledge in solving fluid dynamics problems
To develop skills on using a commonly used CFD software

Outline Of Syllabus

Practical aspects of CFD
The following syllabus will be covered, separately or in combination, using several sample problems.
o       Introduction to creating geometry.
o       Introduction to mesh generation.
o       Introduction to set up and solve the problem in a flow solver.
o       Introduction to evaluate the simulation results and data analysis using appropriate tools such as plot and contours.
o       Introduction to mesh enhancement and dealing with common computational issues.

Theoretical aspects of CFD
o       Introducing the computational Fluid dynamics and its applications
o       Overview of the fundamental equations
o       Introduction to discretization approaches, typically finite-difference and finite-volume methods
o       Introduction to numerical methods for unsteady problems
o       Applying discretization methods to model equations such as diffusion, advection and a combine model problem.
o       An introduction to numerical algorithm for solving Navier-Stokes equations.

Learning Outcomes

Intended Knowledge Outcomes

At the end of this module students should be able to:

•       Formulate and apply mathematical principles of numerical method for fluid dynamics (C1,C2)
•       Formulate and apply various boundary conditions for the complex problems (C2)
•       Discuss and address the restrictions in CFD solution procedure (C1, C2)
•       Select and apply proper computational approach and setting for the problem (C3)

Intended Skill Outcomes

At the end of this module students should:

•       Design CFD solutions to engineering problems (C3)
•       Solve fluid dynamics problem using a commonly used engineering software (C6, C12)
•       Analyze, discuss, and criticize the solution results (C2, C17)

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion201:0020:00Target non-timetabled hours for self-study and complete coursework assignment submission.
Structured Guided LearningLecture materials301:0030:00Pre-recorded lecture material. To be viewed prior to lectures.
Guided Independent StudyAssessment preparation and completion13:003:00Coursework (Practical report 50%) maximum of 1000 words.
Scheduled Learning And Teaching ActivitiesLecture221:0022:00Structured presentation of syllabus may inc skills demo, formative feedback etc
Guided Independent StudyAssessment preparation and completion12:002:00Examination: Conventional exam
Guided Independent StudyAssessment preparation and completion151:0015:00Preparation for end of semester exam.
Scheduled Learning And Teaching ActivitiesPractical81:008:00Comp cluster to apply taught materials and develop practical skills.
Total100:00
Teaching Rationale And Relationship

Lectures are to introduce concepts, theory and demonstrate them using model problems. Practical sessions for teaching the use of a commonly used CFD software. Private study time to complete coursework exercise and prepare for the examination.

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 Examination1201A50Conventional paper exam. Assessment of the following. Formulation & applying (various) numerical approach to model problems. Identify & formulation of appropriate boundary conditions. Discussing & addressing limitations imposed by numerical approach
Other Assessment
Description Semester When Set Percentage Comment
Practical/lab report1M50Application of CFD to engineering problems using a commonly used CFD software. Report assesses the following: Select & apply appropriate method for addressing the problem. Design of the whole CFD solution for the problem. 1000wds
Assessment Rationale And Relationship

Coursework exercise used to assess ability to effectively carry out design, modelling 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

Past Exam Papers

General Notes

N/A

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Disclaimer

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.