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MEC3028 : Computational Heat and Fluid Flow

  • Offered for Year: 2022/23
  • Module Leader(s): Dr Umair Ahmed
  • Lecturer: Dr Immanuvel Paul, Professor Nilanjan Chakraborty
  • Owning School: Engineering
  • Teaching Location: Newcastle City Campus
Semester 1 Credit Value: 10
ECTS Credits: 5.0


To give students an introduction to computational heat and fluid flow modeling and analysis of simulation data that will form the basis of computational awareness of capability and pit-falls, and so to prepare students for both future academic study and the reality of industry increasingly reliant on highly sophisticated and multi-functional computational fluid dynamics (CFD) software.

Outline Of Syllabus

Practical aspects of CFD
o       Introduction to mesh generation software (ANSYS Design Modeller) and CFD solvers (e.g. ANSYS Fluent).
o       Application of software to laminar and turbulent flow systems.
o       Computations issues – mesh refinement, grid independence, boundary conditions
o       Turbulence modelling options

Theoretical aspects of CFD
o       Fundamental equations of heat and fluid flow and specification of boundary conditions, need of meshing
o       Discretisation methodology: finite-difference and finite-volume methods, order of accuracy
o       Numerical solution of steady state diffusion problems (e.g. Laplace and Poisson equations for heat conduction problems)
o       Introduction to numerical methodologies for dealing with unsteady problems (e.g. explicit, implicit, Crank-Nicolson schemes)
o       Numerical methodologies for advection-diffusion problems- concepts of cell Reynolds number, Peclet number, upwinding scheme, numerical diffusion
o       Pressure correction methods for solving fluid dynamics problems (e.g. SIMPLE, PISO schemes)

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Scheduled Learning And Teaching ActivitiesLecture221:0022:00Struct pres of syll may inc skills demo, formative fdbk, etc. P-A PIP P-B Online lec (sync sess)
Structured Guided LearningLecture materials301:0030:00Pre-recorded lecture material (non-synchronous). To be viewed prior to synchronous/PiP Teaching.
Guided Independent StudyAssessment preparation and completion201:0020:00Target non-timetabled hours for self-study and complete coursework assignment submission.
Guided Independent StudyAssessment preparation and completion151:0015:00Preparation for end of semester exam.
Guided Independent StudyAssessment preparation and completion12:002:00Examination: Conventional exam: Plan-A Time limited Canvas exam: Plan-B
Guided Independent StudyAssessment preparation and completion13:003:00Coursework (Practical report 50%) maximum of 1000 words.
Scheduled Learning And Teaching ActivitiesPractical81:008:00Comp cluster) to apply tght mat, dev prof skills Plan-A: PiP Plan-B: Online lectures (sync sess)
Teaching Rationale And Relationship

Lectures used to introduce concepts, theory and case studies. Practical sessions for teaching the use of CFD software and supporting coursework. Private study time to complete coursework exercise and prepare for the examination

Assessment Methods

The format of resits will be determined by the Board of Examiners

Description Length Semester When Set Percentage Comment
Written Examination1201A50Conventional exam: Plan-A Time limited Canvas exam: Plan-B Assessment of the theoretical aspects
Other Assessment
Description Semester When Set Percentage Comment
Practical/lab report1M50Application of CFD software to study Laminar/Turbulent Flow 1000 words
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 asses 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.

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