Genetic Approach for Multiobjective Optimization of Epicyclical Gear Train

Daoudi, Kaoutar; Boudi, El Mosthapha; Mohsine, Abdellah

doi:10.1155/2019/9324903

Cited by 14 publications

(10 citation statements)

References 23 publications

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“…The choice of the size of population and the manner for representing the individual solutions are very important in order to promote the success of the method [11]. In fact, it is a series of random iterations and evolutionary computations which simulate the process of selection, crossover, and mutation occurred in natural selection and population genetic [12]…”

Section: Genetic Algorithm In Matlab Toolboxmentioning

confidence: 99%

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Multi-Objective Optimization of Planetary Gear Train Using Genetic Algorithm

Nasr

Maalawi

Yihia³

2022

Journal of International Society for Science and Engineering

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Planetary gearboxes are used in different industrial fields such as automobiles, helicopters, heavy machinery and wind turbines. They have many advantages such as compact dimensions, less noise, high gear ratio and higher torque-to-weight ratios, compared to standard parallel axis gearboxes. This paper presents a multi-objective optimization model for minimizing the mass of a planetary gear train and maximizing gear ratio under the constraints of gear teeth bending stress, contact stress and side constraints .The selected design variables are the module, gear teeth width, number of teeth for both sun and planet gears, inner diameter of both sun and planet gears and the outer diameter of the ring gear. Different types of materials for the planetary gears have been studied. The optimization problem has been formulated and solved using the Genetic Algorithm (GA). The obtained results indicated that the optimum mass of the planetary gear train has maximum values in case of stainless steel while has relatively equal values in case of plastic material. The maximum gear ratios were observed in case of 1.1 KW input power

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Section: Genetic Algorithm In Matlab Toolboxmentioning

confidence: 99%

“…In fact, the design of the planetary gear train is highly complicated and involves many aspects. This complexity leads to many design variables, mathematical formulations, constraints, and many influencing factors as studied by Kaoutar Daoudi, et al [12]. They described a multi-objective optimization for the epicyclical gear train system using the GA.…”

mentioning

confidence: 99%

Multi-Objective Optimization of Planetary Gear Train Using Genetic Algorithm

Nasr

Maalawi

Yihia³

2022

Journal of International Society for Science and Engineering

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“…Multi-objective processes are increasingly used in gear design optimization, mainly due to the contradictory requirements (one solution may be better than another for some objectives and worse for other objectives). They are interested in optimization of various kinds of gears; namely, bevel gears ( [11], [12], [13]), planetary gears ( [14], [15], [16], [17]), cylindrical gears e.g. [18].…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of gear unit design to improve efficiency and transmission error

Younes

Changenet

Bruyère

et al. 2022

Mechanism and Machine Theory

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This study aims to implement multi-objective optimization of a gear unit in order to minimize the power loss and the vibrational excitation generated by the meshing, via a multi-scale approach that extends from gear contact to the complete transmission. All these indicators are closely linked to the macro and micro-geometry definition of the gear pair. The optimization is carried out using a genetic algorithm, namely the Non-Dominated Sorting Genetic Algorithm II (NSGA-II). The design variables chosen for the problem are the pressure angle and the helix angle, as macro-geometry characteristics of the gear, and/or the length and the amount of tooth profile modifications, as micro-geometry characteristics of the gear. Constraints are imposed in order to not exceed a maximum bending stress at the tooth root of the gear and to not fall below a minimum total contact ratio. From the results obtained, it is found that the multi-objective optimization with both micro and macro-geometry parameters simultaneously gives different results than those obtained with macro-geometry first and then micro-geometry parameters. In order to study the importance, or not, to take into account the complete gear unit, a comparison is made between the local power loss generated by gear tooth friction and the total power loss in the single stage gear unit in terms of design variables values.

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“…Planetary gear transmissions have been the subject of studies appropriate to the optimizations argued in this paper. A comprehensive method for researching the transmission ratio, the internal power flows and the efficiency of complex multi-planetary gear trains was covered in (Arnaudov & Karaivanov, 2005), while the determination of an optimised planetary gear train with a short center distance, light weight and high mechanical efficiency as an important issue in the preliminary design of power transmissions is presented in (Daoudi et al, 2019) , where traditional optimisation methods and non conventional methods, such as Genetic Algorithm Optimisation are used to determine the optimal dimensions of epicyclic gear train components. Furthermore, conventional mathematical methods may be combined with methods of artificial intelligence, as in (Čabala & Jadlovsky, 2020), where the solution of multi-objective optimization of the production process of an automated assembly line model was presented.…”

Section: Introductionmentioning

confidence: 99%

Optimization of two-speed planetary gearbox with brakes on single shafts

et al. 2021

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This paper deals with configurations of complex planetary gear trains consisting of two planetary gear trains of basic type. These gear trains are formed by linking shafts from different component gearsets and contain two carriers, and therefore designated as two-carrier planetary gear trains with four external and two coupled shafts. The structural configurations are pointed out, and additional research has been made into gear trains using coupled external shafts for torque input and output, with the controlling brakes acting on single external shafts. The kinematic schemes have been created for all analyzed PGT variants, and the available transmission ratio ranges calculated for both speeds. The transmission ratio is changed by alternating the activation of each brake, enabling their use as transmissions with two transmission ratios in transportation technology and other engineering applications. Extreme transmission ratio changes have been determined for each analyzed PGT design solution. Also, relations of ideal torque ratios to the required transmission ratios of component planetary gear trains for both speeds have been calculated. These relations enable the selection of compound gear train designs which will achieve the required pair of transmission ratios. The optimal design parameters for the adopted configuration were determined, and the optimal transmission solution for the given input data selected.

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Genetic Approach for Multiobjective Optimization of Epicyclical Gear Train

Cited by 14 publications

References 23 publications

Multi-Objective Optimization of Planetary Gear Train Using Genetic Algorithm

Multi-Objective Optimization of Planetary Gear Train Using Genetic Algorithm

Multi-objective optimization of gear unit design to improve efficiency and transmission error

Optimization of two-speed planetary gearbox with brakes on single shafts

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