Design optimization of spur gear using SA and RCGA

Rai, Paridhi; Barman, Asim Gopal

doi:10.1007/s40430-018-1180-y

Cited by 17 publications

(8 citation statements)

References 17 publications

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“…Article [6] considers solution to issue of optimizing gear transmission. The main emphasis of authors is aimed at minimizing center-to-center distance of a cylindrical gear transmission in order to obtain appropriate optimal design parameters.…”

Section: Related Workmentioning

confidence: 99%

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Modeling Deformation of Spur Gear

Lyashenko¹,

Rudenko²

2021

International Journal of Recent Technology and Applied Science

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In The work considers 11 types of gears, features of their design and application. Analysis of gears designs is carried out, since shape of teeth directly affects process of teeth gearing, and this, in turn, affects load, which causes deformation of elements. 3D model of spur gear was created in ANSYS system. The work was limited by analyzing problem from point of view of gear wheels’ deformation, which were made of 40L carbon steel and carbon composite material. As a result, finite element modeling and analysis of gears using ANSYS system was carried out.

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Section: Related Workmentioning

confidence: 99%

“…The main emphasis of authors is aimed at minimizing center-to-center distance of a cylindrical gear transmission in order to obtain appropriate optimal design parameters. In [6] along with constraints on bending strength, contact strength, interference and contact ratio, scoring has been added as design constraint in design problem.…”

Section: Related Workmentioning

confidence: 99%

Modeling Deformation of Spur Gear

Lyashenko¹,

Rudenko²

2021

International Journal of Recent Technology and Applied Science

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“…Tabu-simulated annealing (TSA) introduces the Tabu mechanism during the annealing progress, which ignores the visited local optima then avoids a useless annealing operation. TSA is both equipped with the capabilities of initial solution generating from the SA and the local searching from the TS, which is theoretically possible to obtain a better optimization effect [39][40][41]. The procedure of TSA is shown in Algorithm 3.…”

Section: Tabu-simulated Annealingmentioning

confidence: 99%

Integrated agile observation satellite scheduling problem considering different memory environments: a case study

Xing

Chen

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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This paper presents an experimental study on an integrated agile earth observation satellite (AEOS) scheduling problem involving the satellite memory environments of the partially erasable memory (PEM) and the holistically erasable memory (HEM). The integrated AEOS scheduling problem simultaneously considers the satellite observation and transmission events, in which the onboard memory functions as a very important connective resource. To address the memory constraints in the AEOS scheduling problem, an integrated AEOS scheduling model that is suitable for both the PEM and HEM environments is proposed in this paper. Based on commonly used construction heuristic and meta-heuristics, two hybrid approaches, Tabusimulated annealing (TSA) and Tabu late acceptance (TLA) algorithms, are adopted to solve this problem. The highlights in this paper are the formulation of novel adaptive memory constraints for the AEOS scheduling and the quantitatively scheduling comparison of separated and integrated modeling methods. Experimental results indicate that (1) the memory environment has a direct influence on the AEOS integrated scheduling results, where the PEM environment sufficiently utilizes memory resources and advances the efficiency of the AEOS a lot. (2) The integrated scheduling method enables the reduction in resource consumption and obtains a better result than the separated scheduling method, especially in the HEM environment, (3) and the hybrid meta-heuristics TLA and TSA that show better overall performance are suggested for addressing the studied AEOS integrated scheduling problem.

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“…They achieved attenuation above 60 % without stage-efficiency abatement. Rai and Barman [12] applied simulated annealing and real coded genetic algorithms to optimize the design of a spur gear. They obtained reductions of 14.1 % and 16.6 % of material by using the simulated annealing algorithm and the real coded genetic algorithm, respectively.…”

Section: Introductionmentioning

confidence: 99%

Reduction of Stresses and Mass of an Engine Rubber Mount Subject to Mechanical Vibrations

Dávalos

Caldiño-Herrera

Cornejo-Monroy

et al. 2021

SV-JME

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A rubber engine mount (EM) is a mechanical coupling between the engine and the chassis, and its main function is to diminish, in the chassis, the amplitude of vibrations caused for the engine operation. Such vibrations cause discomfort for vehicle passengers and reduce the EM lifetime. To increase the comfort of vehicle passengers and the lifetime of the EM, this paper presents an EM optimization by means of reducing three main criteria: the EM mass, the displacements transmitted to the chassis, and the mechanical stress in the EM rubber core. For carrying out the EM optimization, the optimum global determination by linking and interchanging kindred evaluators (GODLIKE), assisted by artificial neural networks (ANN) and finite element method (FEM), was used. Because of the optimization process, a reduction greater than 10 % was achieved in the three criteria in comparison with a baseline design. The frequency responses were compared and showed that although the optimization was carried out for the range of 5 Hz to 30 Hz the trend of reduced responses continues beyond this range. These results increased the comfort of vehicle passengers and the lifetime of the EM; in addition, the reduction of mass diminishes its production costs.

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Design optimization of spur gear using SA and RCGA

Cited by 17 publications

References 17 publications

Modeling Deformation of Spur Gear

Modeling Deformation of Spur Gear

Integrated agile observation satellite scheduling problem considering different memory environments: a case study

Reduction of Stresses and Mass of an Engine Rubber Mount Subject to Mechanical Vibrations

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