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Volume Optimization of Two-Stage Helical Gear Train using Differential Evolution Algorithm

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Title Volume Optimization of Two-Stage Helical Gear Train using Differential Evolution Algorithm
 
Creator Kumar, Vikash
Singh, Sachin Kumar
 
Subject Design optimization
Design parameters
Dynamic penalty function
Gear parameters
Power transmission
 
Description 130-138
In high-performance power transmission systems like automotive and aerospace, the proper gear train design is essential
because it requires minimum weight and high-efficiency gearboxes with maximum service life. An iterative design method
that takes into account all viable design options is used to achieve the desired outcome. This procedure cannot be automated
using the traditional methods utilized in its design. As a result, this paper makes an attempt to automate the gear train's
preliminary design. This paper uses the Differential Evolution (DE) optimization technique and a dynamic penalty function
to optimize the two-stage helical gear train's design parameters by minimising the objective function i.e., the gear train's
overall geometrical volume (size). The objective function is constrained by bending force, surface fatigue strength, and
interference equations of helical gear train with the design variables such as number of teeth, face width, module, and helix
angle of each gear. Ranges of design parameters are taken from the manufacturer's catalogue. The optimised design
parameters obtained from the proposed approach are compared and validated with the standard gear parameters (i.e.,
catalogue value) and with the results published in the literature applying other optimising approaches such as Genetic
Algorithm (GA) and Fminsearch Solver (FS). The proposed approach shows a significant reduction i.e., 18.51% with GA
and 18.14% with FS in the overall geometrical volume (size) of the two-stage helical gear train as compared to the published
work. The presented approach enhances the design optimization problem of gear train which may be used in automobile,
aircrafts, and robotics application for optimal performance.
 
Date 2024-02-15T09:48:53Z
2024-02-15T09:48:53Z
2024-02
 
Type Article
 
Identifier 0022-4456 (Print); 0975-1084 (Online)
http://nopr.niscpr.res.in/handle/123456789/63339
https://doi.org/10.56042/jsir.v83i2.5029
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source JSIR Vol.83(2) [February 2024]