Application of Genetic Algorithm (GA) for Optimum Design of Module, Shaft Diameter and Bearing for Bevel Gearbox

Mendi, Faruk; Başkal, Tamer; Külekçi, Mustafa Kemal

doi:10.3139/120.110349

Cited by 11 publications

(1 citation statement)

References 4 publications

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“…Optimal partial gear ratios were found for bevel helical gearboxes by different methods. F. Mendi et al [3] have determined the optimal parameters of bevel gearboxes such as the module, shaft diameter and bearings, by using a genetic algorithm (GA). P. Eremeev et al [4] introduced a work on both single-and multi-objective optimization of a bevel helical gearbox.…”

Section: Introductionmentioning

confidence: 99%

Application of the Taguchi Method and Grey Relational Analysis for Multi-Objective Optimization of a Two-Stage Bevel Helical Gearbox

Trần

Nguyen

et al. 2023

Machines

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This paper introduces a novel approach to deal with the multi-objective optimization of a two-stage bevel helical gearbox by applying the Taguchi method and Grey Relation Analysis (GRA). The goal of the study is to find optimal main design factors that minimize the gearbox volume and maximize the gearbox efficiency. To accomplish this, five main design parameters were selected: the coefficients of wheel face width (CWFW) of the bevel and the helical gear sets, the allowable contact stresses (ACS) of the first and the second stages, and the gear ratio of the first stage. Furthermore, two single targets were investigated: minimum gearbox volumes, and maximum gearbox efficiency. Also, the multi-objective optimization problem is solved through two steps: Step 1 for closing the gap between variable levels and Step 2 for determining the optimal main design factors. The study’s findings were used to introduce the optimum values of five major design parameters for designing a two-stage helical gearbox.

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Section: Introductionmentioning

confidence: 99%

Application of the Taguchi Method and Grey Relational Analysis for Multi-Objective Optimization of a Two-Stage Bevel Helical Gearbox

Trần

Nguyen

et al. 2023

Machines

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Scheme optimization of AT shifting element based on genetic algorithm

Yue

Liu

et al. 2015

J. Cent. South Univ.

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In order to realize the computer aided design of AT shifting element schemes, a mathematical model of shifting element schemes which can be easily identified by computers was built. Taking the transmission ratio sequence as an optimization objective and simple shifting logic between adjacent gears through operating only one shifting element as a constraint condition, a fitness function of shifting element schemes was proposed. ZF-8AT shifting element schemes were optimized based on GA work-box of MATLAB, and the feasibility of the optimization algorithm was verified.

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Effect of heat-treatment on crash performance in bumper beam and crash box design and optimization of the system

Öztürk

Kaya

2022

Materials Testing

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Within the study’s scope, impact analyses of homogeneous bumper beam-crash box systems designed from AA6063-O, AA6063-T5, and AA6063-T6 materials and hybrid systems designed from combinations of these materials were made and compared in terms of energy absorption values. In designs where failure does not occur, the highest energy absorption value was obtained using the AA6063-T5 bumper beam and AA6063-O crash box system, and single and multi-objective optimization studies were conducted using this design. The optimal bumper system improved the crash performance of the structure. Accordingly, this bumper system can be used in vehicles to improve crashworthiness.

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Application of Genetic Algorithm (GA) for Optimum Design of Module, Shaft Diameter and Bearing for Bevel Gearbox

Cited by 11 publications

References 4 publications

Application of the Taguchi Method and Grey Relational Analysis for Multi-Objective Optimization of a Two-Stage Bevel Helical Gearbox

Application of the Taguchi Method and Grey Relational Analysis for Multi-Objective Optimization of a Two-Stage Bevel Helical Gearbox

Scheme optimization of AT shifting element based on genetic algorithm

Effect of heat-treatment on crash performance in bumper beam and crash box design and optimization of the system

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