Seminar 5th June 2011 8:30 a.m. Vancouver Convention & Exhibition Center, Canada
Introduction to Optimization Methods and Tools for Multidisciplinary Design in Turbomachiney
- Web page
- http://www.asmeconferences.org/TE2011/ShortCourseGTIntroOptimizationMethods.cfm
- Categories
- Optimisation
- Submitter
- Petrina Butler
IGTI is proud to be partnering with VKI to offer this workshop modeled from one of their week-long lecture series.
Pre-Conference IGTI Workshop being held in conjunction with Turbo Expo 2011
Overview and Objective
Modern innovative designs with higher loads and more compact configurations increasingly call for a concurrent design procedure to take into account interactions among multi-components and multi-disciplines at the same time. Innovative optimization methods are now rapidly moving from research labs to industrial real and virtual platforms and intend to provide novel and innovative design solutions in a reduced time to market. This workshop intends to provide the basic concepts and tools behind this technology. Earn 7 Professional Development Hours (PDH’s) and receive a certificate of completion!
After completing the course the participants the participants should: have a global understanding of different optimization techniques. understand the adjoint method and differential evolution techniques through industrial relevant applications. * understand the technical and non-technical barriers to a routine use of optimization techniques and appreciate why these techniques are important.
Who Should Attend
The content of this workshop is oriented towards junior and experienced engineers and researchers involved in the field of multidisciplinary design and looking for innovative numerical solutions for complex multi-criteria design problems. The workshop is introductory and does not require any prior knowledge on optimization techniques.
Course Schedule
Sunday, June 5 8:30 a.m. to 5:00 p.m.
Subjects which are treated in detail include
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Multi-component (multi-stage aerodynamic interactions)
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Multidisciplinary (fluid-structure interaction, conjugate heat transfer
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Gradient based adjoint methods
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Differential evolution algorithms
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Multi-objective optimization
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Pareto fronts
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Surrogate modeling (Radial Basis Functions, Artificial Neural Networks, Kriging)
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Technical and non-technical barriers in automated design optimization
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Different examples illustrate the concepts explored in the workshop, ranging from axial compressor blading optimization including fluid-structure interaction to multidisciplinary radial compressor design and optimization.
Course Notebook, Course CD, Coffee Breaks and Lunch included.
Instructor’s Biography
Professor L. He holds the Rolls-Royce/Royal Academy of Engineering Chair of Computational Aero-thermal Engineering at Oxford University, and is currently the head of Osney Thermofluids Laboratory. His areas of research include: computational unsteady turbomachinery aerodynamics, blade aero elasticity and heat transfer; multi-disciplinary performance design optimization, experimental research for advanced modeling validation and analysis. Prof He has published and lectured widely. He is a Fellow of ASME.
Dr Shahrokh Shahpar is a Rolls-Royce CFD specialist and a leading technical authority for aerodynamic design systems in the company’s aero thermal methods department. He focuses on producing design systems and associated optimization tools for aero engine components. Shahrokh joined the Rolls-Royce Aero-thermal Methods department, which is part of engineering and technology, as an advanced Technologist in 1997. He was promoted to the rank of Rolls-Royce Associate Fellow in 2007– Aero-thermal Design Systems. He is a Chartered Engineer, an AIAA Associate Fellow and is a Fellow of the Royal Aeronautical Society.
Dr. Tom Verstraete is presently assistant professor at the Von Karman Institute. He obtained his PhD in 2008 in the field of multidisciplinary optimization. His areas of research include: conjugate heat transfer, multi-objective and multidisciplinary optimization of turbomachinery components, micro gas turbines.