Checking date: 05/09/2019


Course: 2019/2020

Advanced techniques in mechanical engineering design
(16093)
Study: Master of Engineering and Transport Machinery (73)
EPI


Coordinating teacher: MUÑOZ ABELLA, MARIA BELEN

Department assigned to the subject: Department of Mechanical Engineering

Type: Compulsory
ECTS Credits: 6.0 ECTS

Course:
Semester:




Students are expected to have completed
The previous training as ingeneer in the industrial and production field
Competences and skills that will be acquired and learning results.
SPECIFIC -Geometric analysis capability , manufacturing and technological characteristics of a mechanical assembly for design. -Knowledge and use of solid modeling software. -Knowledge and use of specific software for engineering calculations(CAE -FEM ). -Knowledge of heuristics and approximate solutions for solving optimization problems in mechanics. -Ability to identify and apply the methods and techniques most appropriate in mechanical optimization. - Ability to use optimization softwares. GENERAL - Apply the acquired knowledge and solve problems in new or unfamiliar environments within broader and multidisciplinary contexts environments. - Ability of analysis and synthesis , organization and planning , abstraction and deduction. - Ability to propose original solutions to an engineering problem in the field of machines or transport. - Evaluate the performance and impact of a particular technology in the field of machine engineering or transport.
Description of contents: programme
-Introduction to computer aided design . - Design and virtual modeling of mechanical assemblies . - Design of mechanical elements using finite element method . - General concepts of optimization. - Methods of local optimization - Methods of global optimization . Genetic algorithms . - Other optimization techniques. Neural Networks.
Learning activities and methodology
-Lectures: 2 ECTS . To achieve the skills of the subject . - Practical classes : 2 ECTS . To start developing skills. -Practical Project : 1.5 ECTS . Selfmade work to complete and integrate the development of all skills in solving a case . - Final exam: 0.5 ECTS .Too assess the knowledge acquired.
Assessment System
  • % end-of-term-examination 50
  • % of continuous assessment (assigments, laboratory, practicals...) 50
Basic Bibliography
  • A. C. Ugural. MECHANICAL DESIGN: AN INTEGRATED APPROACH. McGraw-Hil. 2004
  • Charles E. Knight. THE FINITE ELEMENT METHOD IN MECHANICAL DESIGN. PWS-KENT Publishing Company. 1993
  • D. G. Ullman. THE MECHANICAL DESIGN PROCESS. McGraw-Hil. 2002
  • Goldberg, D. Genetic algorithms in search, optimization and machine learning. Addison-Wesley. . 2003
  • Haykin,S... Neural Networks. A comprehensive foundation. . Prentice Hall. . 1994
  • J. Arora. Introduction to optimum design. Elsevier. 2004
  • O.C. Zienkiewicz, R.L. Taylor. EL MÉTODO DE LOS ELEMENTOS FINITOS. CIMNE. 2004
  • Rao, S.. Engineering Optimization. Theory and Practice.. John Wiley&Son. 1996
  • Singiresu S. Rao. THE FINITE ELEMENT METHOD IN ENGINEERING. Elsevier Inc. 2005

The course syllabus and the academic weekly planning may change due academic events or other reasons.