Grey wolf optimiser in design of leaf springs of railway vehicles

Bižić, Milan; Marković, Goran; Bulatović, Radovan R.; Petrović, Dragan; Dedić, Milan

doi:10.1504/ijvd.2019.109855

Cited by 2 publications

(1 citation statement)

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“…Solving practical problems of design and optimization in engineering today is most often based on the application of different optimization algorithms. 14 There are many examples of successful application of optimization algorithms in solving problems of structural design of machine elements and constructions, such as those presented in Pavlović et al, 15 Abderazek et al, 16 Bižić et al, 17 Pavlović et al, 18 and Atanasovska and Momčilović. 19 Recent years, one of the most popular algorithms in solving the engineering and technical problems is Marine Predators Algorithm – MPA.…”

Section: Introductionmentioning

confidence: 99%

Optimization of suspension of rail vehicles with coil springs using marine predators algorithm

Bižić

Bulatović

Petrović

2023

Proceedings of the Institution of Mechanical Engineers, Part C:

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The topic of this paper is the usage of the algorithm of marine predator (MPA) in the optimization of the suspension of rail vehicles with coil springs. The aim is to reduce the mass of set of coil springs as the main parts of rail vehicles suspension. The optimized set of coil springs must satisfy the appropriate conditions related to the suspension characteristics, with the aim of achieving the required operation quality and running security of the observed rail vehicle. Starting from the bi-linear characteristic of rail vehicles suspension and the analytical description of its parameters, an optimization problem is formulated. It is composed of six optimization parameters, an objective function and 16 constraints (eight for each coil spring in the set). The developed approach is applied in two specific examples of suspension optimization of four-axled freight wagons, the first with axle load of 200 kN and the second with axle load of 225 kN. The optimization problem is resolved using MPA. The acquired results showed that the given optimization approach with MPA provide a significant mass decrease compared to conventional design method of rail vehicles suspension with coil springs. The mass decrease of one set of coil springs in both examples is about 15.5%. Given that each considered four-axled freight wagon has 16 sets of coil springs, the decrease of the total coil springs mass per wagon in both examples is more than 60 kg. Since certified rail vehicles are commonly produced in large series, the proposed approach can be very significant for increasing profitability in the rail vehicles industry.

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Section: Introductionmentioning

confidence: 99%

Optimization of suspension of rail vehicles with coil springs using marine predators algorithm

Bižić

Bulatović

Petrović

2023

Proceedings of the Institution of Mechanical Engineers, Part C:

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Numerical case study of the influence of dimensional variation of a semi-elliptic spring on the passive energy dissipation

Szwedowicz,

Domínguez-Gurría,

Pérez-Vigueras

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part D:

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In this work the parametric evaluation of the influence of the dimensional variation of the arc height of a leaf spring on the energy dissipation and deformation energy is presented. With the use of the finite element package Abaqus, the cyclic force-displacement curve of the leaf spring under a compression test was numerically obtained through a discrete model for four cases, by varying the arc height of the spring, subsequently the energy dissipation and the potential energy was calculated. The discrete model was experimentally validated by performing compression tests on a commercial spring. The obtained results show that varying the arc height influences the amount of energy dissipation and potential energy. It was observed that by decreasing the arc height by 33%, the energy dissipation increased by 50% and the potential energy by 3%, resulting in an increment in the specific damping capacity of 47% with respect to the original model. From the discrete model, it is concluded that the contact pressure, contact area, and slip zones are more uniformly distributed when the arc height is reduced by 33%, besides of a decrease in the mass of the spring, results which may be useful for car suspension designers.

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Grey wolf optimiser in design of leaf springs of railway vehicles

Cited by 2 publications

References 0 publications

Optimization of suspension of rail vehicles with coil springs using marine predators algorithm

Optimization of suspension of rail vehicles with coil springs using marine predators algorithm

Numerical case study of the influence of dimensional variation of a semi-elliptic spring on the passive energy dissipation

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