|
[Sponsors] |
CFD News and Announcements - Message Display |
Post Response | Return to Index | Read Prev Msg | Read Next Msg |
Posted By: | Dr Richard Seoud |
Date: | Tue, 23 May 2017, 2:21 p.m. |
Course Coordinator: Prof. K. Giannakoglou,
National Technical University of Athens, Greece
Registration: richard.seoud-ieo@ercoftac.org
Rationale Several years ago, and in recognition of the growing importance of “Design Optimization” to industrial CFD/CSM applications,ERCOFTAC has established a Special Interest Group, called SIG34. SIG34 now offers a course on “Design Optimization” providing an information platform to supporting and fostering a comprehensive exchange between science and industry. Nowadays, computational optimization is both an emerging and widely-used technology in a variety of industrial sectors.Motivated by the maturity of the design-optimization methods and software as well as the advent of powerful modern computational platforms, new automated design optimization methods have already been applied to numerous problems,e.g. in Computational Structural Mechanics (CSM), Computational Fluid Dynamics(CFD), Electro-magnetics, Propulsion, Energy Management and many others.Moreover, combinations of these areas as so-called multi-disciplinary approaches (e.g. fluid-structure interaction, fluid-electro-magneticsinteraction) are in use for achieving improvements in “real-world” industrial designs.
Since “traditional” optimization methods often require a significant number of solution points in the design space in order to reach an improved (or optimal) design, substantial effort has been devoted to device efficient search strategies. Moreover, they have already been adapted to multi-objective and multi-disciplinary problems in order to cope with real-world engineering applications.
Aims The course will provide: • An overview of modern design optimization methods • Comprehensive discussions on the presented methods including their pros and cons, assisting industrial engineers to select the best-suited approach for solving their particular problems. • Based on the latter topic, successfully treated examples in the areas of aeronautics, the automotive, and the turbo-machinery industry will be presented and thorough.
=========================================== MONDAY 5 JUNE 2017 ===========================================
9:30 Welcome – Introduction to the course Prof. K.Giannakoglou & Prof. Carlo Poloni
9:50 Introduction to gradient-free methods Prof. T.Verstraete
10:50 Coffee Break
11:20 Multi-objective EAs accelerated by metamodels - Applications Prof. T.Verstraete
12:10 Asynchronous, Hierarchical, Distributed Metamodel-Assisted EAs - Applications Prof. K.Giannakoglou
13:00 Lunch
14:00 Introduction to Gradient-based Optimization Dr. S. Schmidt
14:50 Discrete Adjoint Dr. S. Schmidt
15:40 Coffee Break
16:10 Continuous Adjoint Prof. K.Giannakoglou
=============================================
TUESDAY 6 JUNE 2017
============================================
9:00 Discrete Adjoint & Industrial Applications Dr. S. Schmidt
9:45 Continuous Adjoint & Industrial Applications Prof. K.Giannakoglou
10:30 Coffee Break
11:00 Robust and reliability based optimization applied to aerodynamic shape design Prof. C.Poloni
12:00 Multidisciplinary Design Optimization from an Enterprise perspective Dr. D.Quagliarella
12:30 Lunch
13:30 State of the art and future trends in turbomachinery optimization Dr. M.Meyer
14:30 Design Optimization in heat and mass transfer applications Prof. E.Nobile
15:30 Coffee Break
16:00 Multiobjective optimization of the Francis turbine runner cone Dr. Roberto Renato Stopar
16:30 Optimization of double-sided centrifugal pump Aljaž � kerlavaj
17:00 Discussion – Round Table - Closure Prof. K.Giannakoglou
================================================= ERCOFTAC Members €400, Non-Members €670 ERCOFTAC student members €275, non-member €440 ==================================================
Design Optimization - Methods & Apps Uni Trieste Trieste, Italy, 5-7 June 2017
Post Response | Return to Index | Read Prev Msg | Read Next Msg |