Simulation Analysis on Quasistatic Characteristics of Multistage Face Gears with Double Crown Surface

Chen, Xingbin; Hu, Qingchun; Xu, Zhongyang; Ding, Yao; Mai, Qianli; Zhu, Chune

doi:10.31614/cmes.2019.04330

Cited by 3 publications

(4 citation statements)

References 14 publications

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“…e multistage face gear pair consists of a series of singlestage face gears meshing with cylindrical gears. A face gear double crown constructed from a straight tooth surface was previously proposed to prevent interference by unsynchronized motion between various face gears within the same cylindrical gear, improve contact characteristics, and achieve stable transmission, which was verified by experiment [19,20].…”

Section: Structural Model and Contact Relationship Of Multistage Crowmentioning

confidence: 91%

Study on Impact Characteristics of Multistage Double Crown Face Gear Pairs considering Ratio Switching under Variable Conditions

Chen

Min

Zhang

et al. 2020

Shock and Vibration

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This paper presents a new transmission mechanism with multistage face gears as the core components for realizing variable speeds with differential meshing. To improve face gear transmission smoothness, suppress meshing resonance, reduce noise, and optimize power transmission performance during the gear shifting process, load distribution between meshing teeth during the transmission process and impact loads during various shifting stages must be determined. Herein, we present a gear impact model considering double crown gear meshing configuration, contact deformation, variable working conditions, and jump impact at meshing points. A single-stage face gear pair is considered as object that the impact characteristics are comparatively studied under four conditions: with/without load and constant/variable speed. The results were used to analyze transient characteristics of the crown gear under contact deformation or frequent shifting impact. Based on this, the impact characteristics of multistage face gear pairs between ratio switching were extendedly investigated under four input conditions: constant/variable torque or constant/variable speed. The results were used to determine the meshing force and impact force fluctuation characteristics of multistage face gear pairs while adapting to various loads and continuous acceleration/deceleration. The proposed model can be beneficial to evaluate the feasibility of multistage gear structures with crown configuration and to obtain boundary conditions for transmission systems.

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Section: Structural Model and Contact Relationship Of Multistage Crowmentioning

confidence: 91%

Study on Impact Characteristics of Multistage Double Crown Face Gear Pairs considering Ratio Switching under Variable Conditions

Chen

Min

Zhang

et al. 2020

Shock and Vibration

Self Cite

View full text Add to dashboard Cite

show abstract

“…As seen in formula (17), the maximum rotation angle ωt of the onion seedlings around the planting disc can be obtained according to the horizontal velocity Vd of the machine and the radius R and rotation speed ω of the planting disc.…”

Section: ( ) ( )mentioning

confidence: 99%

“…According to the mechanical industry standard of the People's Republic of China (JB/T10291-2001), the angle between the main stem and the ground of the onion seedlings after planting is measured by a universal angle meter, and the maximum value is determined four times. Then, the qualification rate of verticality is calculated [14][15][16][17].…”

Section: ) Determination Of Qualification Rate Of Verticality Y1mentioning

confidence: 99%

Design and Optimization of Planting Process Parameters for 2ZYX-2 Type Green Onion Ditching and Transplanting Machine

Zhang¹,

Niu²,

Li³

et al. 2020

Phyton

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Considering the current low level of mechanization for domestic green onion planting and the high labor intensity of artificial planting, a 2ZYX-2 green onion ditching and transplanting machine, which can complete ditching, ridging, transplanting, repression, soil covering and other operations, is designed in this study. The Central Composite test design method was carried out with the speed of the transplanting machine, the depth of the opener and the horizontal position of the opener as the experimental factors and with the qualification ratio of perpendicularity, the variation coefficient of the plant spacing and the qualification ratio of the planting depth as the test index. Through the analysis of the model interaction and response surface, the change laws that the influence the machine's forward speed, the depth of the opener and the horizontal position of the opener were studied. The regression model was optimized by Design-Expert 8.0.6 software, and the accuracy of the predicted results was verified by experiments. The optimal working parameters showed that the forward speed of the machine was 0.06 m/s, the depth of the opener was 102 mm, and the horizontal position of the opener was 29 mm. Under conditions of optimal working parameters, the qualification rate of the verticality was 86.83%, the coefficient of variation for the plant spacing was 2.77, and the pass rate of planting depth was 88.26%. The research related to the thesis can provide a reference for the mechanized planting of green onion, which is of great significance to the cost-effectiveness of the green onion industry.

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“…In the research of interference fit, Chu et al 7 studied the influence of radial interference on the press-fit force and torque capacity by the finite element (FE) analysis and experiments and measured the static and dynamic friction coefficients of the interference fit surface of the gear. Chen et al 8 analyzed the quasi-static contact characteristics of multi-stage face gears with different friction coefficients and obtained the interaction rules of friction coefficients with maximum deformation, maximum strain, maximum stress, and maximum strain energy. Bottini and Boschetto 9 investigated the effects of surface morphology and interference grade on the assembly and disassembly forces in an interference fit and found the relationship between radial interference and assembly force.…”

Section: Introductionmentioning

confidence: 99%

Torque capacity of the multilayer interference fit based on a friction coefficient prediction model

Ning

Wang

Xiang

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part J:

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This paper proposes the theoretical model of a multilayer interference fit and gives out the relational expression between radial interference and friction coefficient. Taking the typical wind turbine's shrink disk of a three-layer interference fit structure as an example, special experimental equipment is developed to test the torque capacity. Based on experimental results and the theoretical model, the mathematical expressions of radial interference and assembly stroke for friction coefficient are obtained by polynomial fitting, and the prediction model of friction coefficient is established. The three-dimensional finite element model of a shrink disk is constructed by applying the friction coefficient prediction model. With the mathematical expressions of radial interference and assembly stroke for the torque capacity, the rules of main dimension parameters and torque capacity are analyzed. The maximum relative error between experiment and simulation is 8.2%, which shows the feasibility of finite element simulation. The results of our study have certain guidance for the prediction of friction coefficient and the manufacture of the multilayer interference fit.

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Simulation Analysis on Quasistatic Characteristics of Multistage Face Gears with Double Crown Surface

Cited by 3 publications

References 14 publications

Study on Impact Characteristics of Multistage Double Crown Face Gear Pairs considering Ratio Switching under Variable Conditions

Study on Impact Characteristics of Multistage Double Crown Face Gear Pairs considering Ratio Switching under Variable Conditions

Design and Optimization of Planting Process Parameters for 2ZYX-2 Type Green Onion Ditching and Transplanting Machine

Torque capacity of the multilayer interference fit based on a friction coefficient prediction model

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