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Optimum design of a spur gear using a two level optimization approach

Article dans une revue avec comité de lecture
Author
BRAHIM, MAHIDDINI
ccCHETTIBI, Taha
242513 École Militaire Polytechnique [Alger] [EMP]
ccBENFRIHA, Khaled
127758 Laboratoire Conception de Produits et Innovation [LCPI]
ccAOUSSAT, Améziane
127758 Laboratoire Conception de Produits et Innovation [LCPI]

URI
http://hdl.handle.net/10985/23305
DOI
10.5755/j01.mech.25.4.18994
Date
2019-08
Journal
Mechanika

Abstract

In this paper, we present a two level optimization approach in order to enhance the design process of a one-stage speed reducer. The proposed design methodology is performed using genetic algorithms which are judiciously combined with the use of :i) analytical models (1stlevel) and ii) Finite Element Method (FEM)based models ( 2nd level), to evaluate design candidates. Indeed, the use of CAD-CAE tools to develop higher fidelity FEM models allows to re-evaluate the attained first level designs, while accounting for new design parameters and advanced aspects which have been ignored in the first level. In order to minimize the computational burden, a metamodel based optimization technique is adopted at this second level. To illustrate the efficiency of the proposed approach, a case study of a spur gear based reducer is presented where the design of experiments is built using Hypercube Latin Sampling and surrogate models are constructed using Radial Basic Functions.

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