Objectives of Programme's Learning Outcomes

• Imagine, design, carry out and operate solutions (machines, equipment, processes, systems and units) to provide a solution to a complex problem by integrating needs, constraints, context and technical, economic, societal, ethical and environmental issues.
• Identify complex problems to be solved and develop the specifications by integrating needs, contexts and technical, economic, societal, ethical and environmental issues.
• Optimally design and calculate the dimensions of machinery, equipment, processes, systems or units, based on state of the art, a study or model, addressing the problem raised; evaluate them in light of various parameters of the specifications.
• Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out mechanical engineering missions, using their expertise and adaptability.
• Master and appropriately mobilise knowledge, models, methods and techniques specific to mechanical engineering.
• Plan, manage and lead projects in view of their objectives, resources and constraints, ensuring the quality of activities and deliverables.
• Respect deadlines and the work plan, and adhere to specifications.
• Work effectively in teams, develop leadership, make decisions in multidisciplinary, multicultural, and international contexts.
• Interact effectively with others to carry out common projects in various contexts (multidisciplinary, multicultural, and international).
• Communicate and exchange information in a structured way - orally, graphically and in writing, in French and in one or more other languages - scientifically, culturally, technically and interpersonally, by adapting to the intended purpose and the relevant public.
• Argue to and persuade clients, colleagues, teachers and boards, both orally and in writing.
• Use and produce scientific and technical documents (reports, plans, specifications, etc.) adapted to the intended purpose and the relevant public.
• Contribute by researching the innovative solution of a problem in engineering sciences.
• Design and implement investigations based on analytical, numerical and experimental approaches.
• Adequately interpret results taking into account the reference framework within which the research was developed.
• Communicate, in writing and orally, on the approach and its results in highlighting both the scientific criteria of the research conducted and the theoretical and technical innovation potential, as well as possible non-technical issues.

Learning Outcomes of UE

Introduce students to key techniques of Computational Fluid Dynamics (CFD) and Computational heat transfer (CHT).
The students will be able to: Describe the different methods in CFD and CHT, their potential and their limitations; Be able to read and understand literature on this subject; Summarize the different steps and the most common simulation method; Identify the different conventional techniques for the temporal and spatial the discretization used with Finite Volume Methods ; Contribute to the development of CFD and CHT software; Understand and make a judicious choice and use of numerical simulations and commercial software; Appreciate the relevance and the quality of simulation results (create a critical mind).
 

UE Content: description and pedagogical relevance

Steps and tools for conservation laws PDE ; Nature and levels of equation approximation of conservation laws of mass, momentum, energy and other (chemical species...); discretization methods : finite difference, finite element and finite volume methods; Finite Volume Methods: temporal and spatial discretization (mesh concept); classical discretization methods of convection terms: central and upwind schemes; Classical discretization methods for diffusive terms; Turbulence modelling; Acceleration techniques; Schemes for impressible flows; Boundary conditions; Consistency, stability and convergence. Issues to account radiative heat transfer.
 

Prior Experience

Computer science; fundamental heat transfers; fundamental fluid mechanics; mass, energy and momentum conservation laws; classical mathematical operators; differential equations; ordinary differential equations; solution of systems of equations. numerical analysis;