Multi-Objective Optimization of Two-Stage Helical Pairs in Helical Hydraulic Rotary Actuator Using Ensemble of Metamodels and NSGA-II

Liu, Song; Li, Baoren; Gan, Runlin; Xu, Yue; Yang, Gang

doi:10.3390/act12100385

Cited by 3 publications

(1 citation statement)

References 32 publications

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“…H. Wang et al [38] also employed the response surface methodology approach to multi-objectively optimize the helical gear in a centrifugal compressor. Liu, S., et al [39] presented a MOOP work using two-stage helical gear sets in a helical hydraulic rotary actuator. The optimization was performed via the NSGA-II method, incorporating four permutations of the three objectives: volume, transmission efficiency, and maximum contact stress.…”

Section: Introductionmentioning

confidence: 99%

Solving a Multi-Objective Optimization Problem of a Two-Stage Helical Gearbox with Second-Stage Double Gear Sets Using the MAIRCA Method

Vu,

Tran,

Dinh

et al. 2024

Applied Sciences

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This paper provides a novel application of the multi-criteria decision-making (MCDM) method to the multi-objective optimization problem (MOOP) of creating a two-stage helical gearbox (TSHG) with second-stage double gear sets (SDGSs). The aim of the study is to determine the optimum major design components for enhancing the gearbox efficiency while reducing the gearbox volume. In this work, three primary design parameters are chosen to accomplish this: the gear ratio of the first stage and the coefficients of the wheel face width (CWFW) of the first and second stages. Additionally, the study is conducted with two distinct objectives in mind: the lowest gearbox volume and the maximum gearbox efficiency. Moreover, phase 1 and phase 2, respectively, are the two stages of the MOOP. Phase 2 handles the MOOP to identify the ideal primary design factors as well as the single-objective optimization problem to minimize the difference between the variable levels. Additionally, the Multi-Attributive Ideal–Real Comparative Analysis (MAIRCA) approach is selected to deal with the MOOP. The results of the study are utilized to determine the ideal values for three crucial design parameters in order to create a TSHG with SDGSs.

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Section: Introductionmentioning

confidence: 99%

Solving a Multi-Objective Optimization Problem of a Two-Stage Helical Gearbox with Second-Stage Double Gear Sets Using the MAIRCA Method

Vu,

Tran,

Dinh

et al. 2024

Applied Sciences

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Optimization of commercial vehicle cab structure design based on mixed sensitivity analysis

Ruan,

Li,

Ruan

2024

Third International Conference on Mechatronics and Mechanical Engineering (ICMME 2024)

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In order to improve the lightweight optimization effect of commercial vehicles, a certain flat-head commercial vehicle cab is used as the research object to establish a geometric model of the commercial vehicle cab. Through stiffness calculation, bending deformation of the cab longitudinal beam and calculation of the windshield door frame Deformation analysis to evaluate the stiffness performance of the cab model. A free modal analysis is carried out, with the Z-direction displacement under bending conditions and the first-order torsional natural frequency not being less than the initial value as constraints, and the minimum cab weight and torsional deformation as the optimization objectives. The 16 selected products were screened by relative sensitivity analysis. The thickness variables are optimized for design, and the NSGA-II genetic algorithm is used for multi-objective optimization, and the solution that meets various performance requirements and has smaller quality is selected as the optimized solution. The optimization results show that while the cab weight is reduced by 13kg, the stiffness performance is significantly improved, with a weight reduction rate of 3.44%, and the optimization effect is significant.

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Design and Optimization of a Bennett–Spherical Scissor Mechanism Suitable for Driving Aerial–Aquatic Rotor Deformation

Du,

Zhao

2024

Actuators

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This paper aims to design a deformable mechanism to drive amphibious rotor blade deform from an aerial shape to an aquatic one. The Bennett four-bar and spherical four-bar mechanisms are used as the basic units (B unit and S unit) to form the Bennett–spherical spatial scissor unit (BS unit). By analyzing the kinematic characteristics of the BS unit, it is found that the BS unit can achieve the spatial deformation of expansion and torsion, effectively improving the rotor’s performance in water and air media. The wing rib support structure, which is fixed to the BS unit linkage, is designed. The coordinate transformation method describes the blade shape in aerial and aquatic modes using BS unit and rib parameters. To improve the rotor blade performance in air and water, the rotor blade design is carried out under the NSGA-II framework with BS parameters as the design variables. The Gaussian regression and CFD methods are applied to build a surrogate model to reduce the computational cost. The results show that the expansion–torsional deformation of the BS unit can effectively increase the air and water compatibility of the rotor blades. When the rotor is an aerial shape, the BS mechanism extends and decreases the torsion to increase the lift and efficiency. When it is deformed to an aquatic shape, the BS mechanism reduces its length and increases the torsion to reduce the torque effectively. The BS scissor unit and the design method can be effectively applied in the design of deformable rotor blades.

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Multi-Objective Optimization of Two-Stage Helical Pairs in Helical Hydraulic Rotary Actuator Using Ensemble of Metamodels and NSGA-II

Cited by 3 publications

References 32 publications

Solving a Multi-Objective Optimization Problem of a Two-Stage Helical Gearbox with Second-Stage Double Gear Sets Using the MAIRCA Method

Solving a Multi-Objective Optimization Problem of a Two-Stage Helical Gearbox with Second-Stage Double Gear Sets Using the MAIRCA Method

Optimization of commercial vehicle cab structure design based on mixed sensitivity analysis

Design and Optimization of a Bennett–Spherical Scissor Mechanism Suitable for Driving Aerial–Aquatic Rotor Deformation

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