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- Title
Optimum Design of a Spur Gear Using a Two Level Optimization Approach.
- Authors
MAHIDDINI, Brahim; CHETTIBI, Taha; BENFRIHA, Khaled; AOUSSAT, Améziane
- 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 (1st level) 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.
- Subjects
SPUR gearing; GENETIC algorithms; LATIN hypercube sampling; FINITE element method; SPEED reducers; PARTICLE swarm optimization; MATHEMATICAL optimization
- Publication
Mechanika, 2019, Vol 25, Issue 4, p304
- ISSN
1392-1207
- Publication type
Article
- DOI
10.5755/j01.mech.25.4.18994