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Shaft Shape Multi Objective Optimization Based on Bacterial Chemotaxis

[+] Author Affiliations
Maria Alejandra Guzmán Pardo

National University of Colombia, Bogota, Colombia

Rodrigo Nicoletti, Jonas de Carvalho

University of São Paulo, São Carlos, Brazil

Paper No. GT2010-23359, pp. 1363-1367; 5 pages
doi:10.1115/GT2010-23359
From:
  • ASME Turbo Expo 2010: Power for Land, Sea, and Air
  • Volume 6: Structures and Dynamics, Parts A and B
  • Glasgow, UK, June 14–18, 2010
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 978-0-7918-4401-4 | eISBN: 978-0-7918-3872-3
  • Copyright © 2010 by ASME

abstract

Chemotaxis is the biased movement developed by certain living organisms as a response to chemical gradients present in their environment. Thanks to advances in the computing field, bacterial chemotactical strategies and its excellent ability in searching can be modeled, simulated and emulated, thus developing bio-inspired optimization methods alternatively to classical methods. In this work, a multi objective optimization algorithm based on bacterial chemotaxis is proposed and applied to the shape optimization of shafts. Design variables are the diameters along shaft’s length and different constraints are tested, such as variable torques, critical velocities, and position of elements. The design results are obtained in terms of final weight and design safety factors at specific points of the shaft, thus leading to a front of optimum solutions, i.e. to the different possible design solutions that satisfy design constraints, where the engineer can find the best compromise solution for his application.

Copyright © 2010 by ASME
Topics: Optimization , Shapes

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