Kinematics Optimization of a Mechanical Scissor System of Tipping Using a Genetic Algorithm

Figueredo, Rémi; Sansen, Pascal

doi:10.1080/15397734.2013.856275

Cited by 7 publications

(3 citation statements)

References 6 publications

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“…These numerical methods have been used in recent decades for optimizing the performance of engineering issues. [48][49][50] Genetic Algorithm, or briefly GA as an optimization method based on the design space search method referred to as evolutionary algorithms. GA firstly appeared by Holland and then developed and popularized by Goldberg.…”

Section: Numerical Modelingmentioning

confidence: 99%

The optimum model determination of porous barriers in high-speed tracks

Mohebbi

Safaee

2021

Proceedings of the Institution of Mechanical Engineers, Part F:

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In the railway industry, safety is an essential factor that has been modified by all societies and railroad managers. Against the background of increasing speed of rolling stock, risk factors such as cross wind and train stability have received more extensive attention. In this study, the porous wind barriers that are widely used in this industry have been surveyed. Also, to decrease the harmful effects of crosswind, the work attempts to find an optimum porous barrier design. This numerical simulation was based on a modern computational fluid dynamic in microscopic space model called the Lattice Boltzmann Method. Also, to find the optimum type of barrier design, the Multi-Objective Genetic Algorithm had been used. Two aspects of barrier design, including the porosity levels and distance between barriers, have been studied and, finally, a candidate design proposed for the barriers. It was found that porousity levels up to 15% have a positive effect in reducing the lift force coefficient, but beyond that it has a negative effect. On the other hand, increasing the porosity level leads to a decrease in the drag coefficient. The velocity vectors, velocity counter, vorticity, and turbulence intensity of the flow field around the model plotted for the candidate barrier.

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Section: Numerical Modelingmentioning

confidence: 99%

The optimum model determination of porous barriers in high-speed tracks

Mohebbi

Safaee

2021

Proceedings of the Institution of Mechanical Engineers, Part F:

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“…They are combined in a set of genes forming a chromosome which describe an individual solution X (Figueredo and Sansen, 2014). Such a chromosome X represents the gear shifting strategy for the whole driving cycle.…”

Section: Selection Crossover and Mutationmentioning

confidence: 99%

Vehicle gear shifting strategy optimization with respect to performance and fuel consumption

Eckert

Corrêa

Santiciolli

et al. 2015

Mechanics Based Design of Structures and Machines

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Based on the movement resistance forces, the vehicle longitudinal dynamics is related to power demand for a specific route. The vehicle gear shifting influences significantly the acceleration performance and fuel consumption because it changes the engine operation point and the powertrain inertia. This paper presents a study based on the US06 velocity profile which involves high speed and high acceleration phases, where the vehicle performance is limited by both the engine power and the tire traction limit. For improving A c c e p t e d M a n u s c r i p t the vehicle performance without increasing fuel consumption, a genetic algorithm (GA) technique is used.

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“…Heckert and Pfleghaar designed a device that uses a special traction mechanism to control the change in the center angle of the two intersecting scissor arms to achieve the lifting motion [7]. Rémi Figueredo et al performed a kinematic analysis of the forklift mechanism of the dump truck and optimized the hydraulic cylinder position and mechanical structure using genetic algorithms [8]. Chinese scholars have done a lot of research on height lifting and adjusting horizontal devices.…”

Section: Introductionmentioning

confidence: 99%

Design and Simulation of Liftable Crawler Chassis for Combine Harvester

Jing

Xu²

2018

JAA

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Aiming at the needs of field operations in different deep mud, a liftable crawler chassis based on the connecting rod arm mechanism was designed, including the chassis upper frame, lifting mechanism, hydraulic cylinder, limit mechanism, left and right walking system. In the ADAMS software, a virtual prototype model of the lifting and lowering chassis is established. The angle variation of the frame on the chassis relative to the ground and the angular velocity and acceleration of each lifting rod were simulated and analyzed. These rules met the chassis lifting adjustment requirements during the harvester operation.

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Kinematics Optimization of a Mechanical Scissor System of Tipping Using a Genetic Algorithm

Cited by 7 publications

References 6 publications

The optimum model determination of porous barriers in high-speed tracks

The optimum model determination of porous barriers in high-speed tracks

Vehicle gear shifting strategy optimization with respect to performance and fuel consumption

Design and Simulation of Liftable Crawler Chassis for Combine Harvester

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