Checking date: 24/01/2025 14:15:08


Course: 2024/2025

Numerical simulation of industrial flows
(14218)
Bachelor in Mechanical Engineering (Plan: 446 - Estudio: 221)


Coordinating teacher: IGLESIAS ESTRADE, MARIA IMMACULADA

Department assigned to the subject: Thermal and Fluids Engineering Department

Type: Electives
ECTS Credits: 3.0 ECTS

Course:
Semester:




Requirements (Subjects that are assumed to be known)
- Engineering Fluid Mechanics
Objectives
Upon successful completion of this course, students will: 1. have a systematic understanding of the key aspects and concepts of computational fluid mechanics; 2. have a coherent knowledge of numerical simulation of industrial fluid flow, including novel aspects that lie at the forefront of the current mechanical engineering state-of-the art; 3. have the ability to apply their knowledge and understanding to identify, formulate, and solve problems of numerical simulation of industrial fluid flow using established methods; 4. have the ability to select and apply different methods of numerical discretization relevant to computational fluid mechanics; 5. have the ability to design and set up numerical simulations of realistic industrial flow problems, interpret the data, and draw conclusions; 6. have the ability to select and use the most appropiate computational fluid mechanics software and hardware to solve a certain industrial fluid flow problem; 7. have the ability to combine theoretical knowledge of fluid mechanics with computational methods to solve industrial fluid flow problems; 8. have a thorough understanding of the range of applicability and the limitations of the computational techniques used for the numerical simulation of industrial fluid flows.
Learning Outcomes
RA1.2: An systematic understanding of the key aspects and concepts of their branch of engineering. RA1.3: Coherent knowledge of their branch of engineering including some at the forefront of the branch. RA2.1: The ability to apply their knowledge and understanding to identify, formulate and solve engineering problems using established methods. RA2.3: The ability to select and apply relevant analytic and modelling methods. RA4.2: Rhe ability to design and conduct appropriate experiments, interpret the data and draw conclusions. RA5.1: The ability to select and use appropriate equipment, tools and methods. RA5.2: The ability to combine theory and practice to solve engineering problems. RA5.3: An understanding of applicable techniques and methods, and of their limitations. CB1: Students have demonstrated possession and understanding of knowledge in an area of study that builds on the foundation of general secondary education, and is usually at a level that, while relying on advanced textbooks, also includes some aspects that involve knowledge from the cutting edge of their field of study. CB2: Students are able to apply their knowledge to their work or vocation in a professional manner and possess the competences usually demonstrated through the development and defence of arguments and problem solving within their field of study. CG1: Ability to resolve problems with initiative, creativity decision-making and critical reasoning skills, and to communicate and transmit knowledge, skills and abilities in the Industrial Engineering area. CG9: Knowledge and capacity to apply computational and experimental tools for analysis and quantification of mechanical engineering problems. CE6: Applied knowledge of the fundamentals of fluid mechanical systems and machines.
Description of contents: programme
- Introduction to CFD. - Basic equations of fluid mechanics. Levels of approximation. - Finite Volume method. - Turbulence modeling. - Applications: use of a commercial code (ANSYS FLUENT) to solve a real-life industrial problem.
Learning activities and methodology
The development of the course includes lectures where the theoretical concepts are exposed, combined with practical application classes in a computer room. Students will also work on a final project.
Assessment System
  • % end-of-term-examination/test 0
  • % of continuous assessment (assigments, laboratory, practicals...) 100

Calendar of Continuous assessment


Extraordinary call: regulations
Basic Bibliography
  • Ansys. Ansys user manual. Ansys.
  • Jiyuan Tu, Guan Heng Yeoh y Chaoquin Liu.. Computational Fluid Dymamics. A practical approach.. Elsevier. 2008
Additional Bibliography
  • Hirsch, C.. Numerical Computation of Internal and External Flows (Second Edition) . Elsevier. 2007

The course syllabus may change due academic events or other reasons.