The Experts below are selected from a list of 213 Experts worldwide ranked by ideXlab platform

Wang Fen - One of the best experts on this subject based on the ideXlab platform.

  • fatigue analysis and optimization of marine Herringbone Gear based on tooth root dynamic stress
    Engineering mechanics, 2015
    Co-Authors: Wang Fen
    Abstract:

    In order reasonably to estimate Herringbone Gear fatigue life through the dynamic stress of tooth root, a Gear vibration model of 12-degree freedom of Herringbone is established, considering meshing stiffness, corner mesh impact, and tooth surface contact friction. Meanwhile, the tooth-root-stress relevance between other meshing teeth is also considered, and the dynamic stress trend of Herringbone Gear tooth root of the tension side is calculated. The dynamic stress at the mid-point of the pinion tooth root of the tension side under three commonly used load conditions is selected as the fatigue life calculation object by analyzing the theory of tooth fatigue life mechanism. The dynamic stress fatigue life of Herringbone Gear teeth root is calculated by Miner linear cumulative damage theory and the counting method of two-parameter rain flow, considering stress amplitude and mean stress. The influence is discussed on the fatigue life of the tooth root reverse compressive stress between other meshing teeth. Herringbone Gear tooth surface is optimized under tooth dynamic stress fatigue life to the consolidated load conditions by three-dimensional modification technology. The results show that the tooth root dynamic stress trend flattens after modification, and the fatigue life is increased by 25%.

  • structural vibration analysis and optimization of Herringbone Gear transmission system under multiple loads
    Journal of Vibration and Shock, 2014
    Co-Authors: Wang Fen
    Abstract:

    In order to reducing the vibration of Herringbone Gear transmission system more effectively,the corresponding design methods were put forward respectively from the aspect of inhibiting vibration excitation sources from Herringbone Gear transmission system( tooth meshing quality) and vibration transmission path( box structure). The threedimensional modification of teeth surfaces was made to optimally mitigate the vibration between the Herringbone Gear meshing teeth under multi-loads. The structural topology optimization was carried out aiming at improving the static( box deformation) and dynamic( lower natural frequency) characteristics of the Gearbox structure,and the optimization results can indicate which parts of redundant material should be removed and which parts of structure need to be strengthened.Accordingly,the structural size of Gear box was optimized to achieve minimum acceleration on Gearbox feet. The calculations and experimental results of a practical example show that the method of three-dimensional tooth modification can reduce vibration by 18. 9% in experimental test and by 20. 5% in theoretical analysis and the method of Gearbox structural optimization can reduce vibration by 12%. The better effect of 27. 3% is achieved by the combination use of the two methods.

  • Contrast verification and calculation of Herringbone Gear tooth root dynamic stress
    Journal of the Harbin Institute of Technology, 2013
    Co-Authors: Wang Fen
    Abstract:

    To accurately calculate the Herringbone Gear tooth root dynamic stress,nonlinear Herringbone Gear vibration model of twelve degrees of freedom is established considering transmission error,meshing stiffness,corner mesh impact,and backlash. New method for calculating tooth root dynamic stress is put forward considering the influence of real-time dynamic load on the load distribution coefficient. Taking a ship Herringbone Gear transmission system as an example,the results consistently indicate that Herringbone Gear tooth root dynamic stresses both increase with the increasing of load torque and driving wheel rotational speed.With the external load increases,the relative fluctuations of the dynamic stress in meshing tooth root decreases first and then increases due to the influence of teeth backlash. Numerical simulation and experimental data are in good agreement. The method can more accurately reflect the trends of tooth root stress fluctuations.

Wu Xin - One of the best experts on this subject based on the ideXlab platform.

Feng Wang - One of the best experts on this subject based on the ideXlab platform.

  • Design and analysis of Herringbone Gear with sixth-order transmission error based on meshing vibration optimization:
    Advances in Mechanical Engineering, 2017
    Co-Authors: Feng Wang, Zongde Fang, Long Chen
    Abstract:

    To reduce the Herringbone Gear transmission vibration and noise, an optimization design method about the meshing vibration of Herringbone Gear is provided with a controllable sixth-order polynomial function of transmission error. First, the polynomial coefficients of sixth-order polynomial function of transmission error curves can be determined by optimizing the aim at minimum root mean square value of Herringbone Gear meshing vibration acceleration based on loaded tooth contact analysis method and Herringbone Gear vibration model. Second, because of the existence of second-order frequency factors in the amplitude of loaded transmission error, the root mean square value of meshing vibration acceleration under the optimization of amplitude of loaded transmission error is worse than the value under the optimization of meshing vibration acceleration in resonant frequency. Third, a numerical simulation of example based on Herringbone Gear with different order transmission errors is performed, which proves tha...

  • Optimum microgeometry modifications of Herringbone Gear by means of fitness predicted genetic algorithm
    Journal of Vibroengineering, 2016
    Co-Authors: Pengyuan Qiu, Ning Zhao, Feng Wang
    Abstract:

    This paper presents a systematic methodology focused on Herringbone Gear microgeometry modifications toward vibration reduction. The dynamic model considering the unique characteristics of aviation Herringbone Gear is developed to study the vibration behavior. The optimal ease-off shape can be defined as the outcome of a multi-objective optimization process, the objective functions are loaded transmission error, meshing impact excitation and root mean square (RMS) of vibration acceleration. With special attention given to computational efficiency, a novel fitness predicted genetic algorithm is developed. An application to Herringbone Gear are presented, the results show the proposed method can obtain optimal modifications that significantly improve the Gear performance over a wide range of operating conditions. Furthermore, the reduction of the vibration also leads to a reduction of bending stresses. Finally, a test on Herringbone Gear is executed under various combinations of torque and speed to demonstrate the accuracy of the proposed model.

  • Analysis Optimization and Experimental Verification of Herringbone Gear Transmission System
    Journal of Mechanical Engineering, 2015
    Co-Authors: Feng Wang
    Abstract:

    Aiming at effectively analyzing on power transmission processing of Herringbone Gear trains system, reasonably estimating the Gearbox structure vibration and noise, finite element model is put forward considering fluid-solid coupling of Gearbox. Time-varying dynamic loads calculating from the Ref. [5] are applied on each center coupling point of bearing holes. Dynamic response analysis is carried out on the Gearbox by the transient dynamic analysis module of ANSYS software, and structural vibration acceleration of the Gearbox investigation nodes is estimated. Tooth dimensional optimization design with multiple dynamic targets is carried out by the adaptive genetic algorithm. Optimization results show the vibration acceleration of teeth meshing line direction and Gearbox machine feet are both significantly reduced under given load condition. Herringbone Gear transmission experiment testing system with closed power flow is set up to verify the theoretical analysis. In order to verify Herringbone Gear dynamic systems vibration transmission theory and tooth surface modification effects, teeth meshing line direction vibration is measuring through high precision angle encoders of Heidenhain, and vibration acceleration of bearing seat and machine feet are measured by accelerometer.

  • The Herringbone Gear Box Modal Analysis and Experimental Study
    Applied Mechanics and Materials, 2013
    Co-Authors: Feng Wang, Zongde Fang
    Abstract:

    In order to more accurately estimate the intrinsic mode of Herringbone Gear transmission box, fluid-structure interaction model of Gear box and lubricants is established. Gear system natural frequencies and mode shapes is calculate out on the establishment of the fluid-solid coupling dynamics equations. The finite element models of Gearbox and lubricating oil are build by ANSYS software, and the results of inherent characteristics are given. The top ten order natural frequency is distributed between 611.8HZ and 2487HZ, and the first two order mode shape is respectively shown as the axial swing and horizontal swing. In order to verify the analysis results, the hammering method of single-input multiple-output (SIMO) is used to test Gearbox structure modal. The results show that the mode shapes get from ANSYS analysis are consistent with the datas of experimental measurements, and the maximum deviation of natural frequency between experiment and theory is blew 15%. So it can be shown the fluid-structure interaction model in this paper is effective and reasonable.

Zhu Shengping - One of the best experts on this subject based on the ideXlab platform.

  • Influence mechanism of multi-coupling error on the load sharing characteristics of Herringbone Gear planetary transmission system:
    Proceedings of the Institution of Mechanical Engineers Part K: Journal of Multi-body Dynamics, 2019
    Co-Authors: Mo Shuai, Zhang Ting, Jin Guoguang, Feng Zhanyong, Gong Jiabei, Zhu Shengping
    Abstract:

    The load sharing characteristics of the Herringbone planetary transmission system are a key indicator for evaluating the bearing stability and reliability of each planet Gear in the transmission sy...

  • Dynamic Characteristics and Load Sharing of Herringbone Wind Power Gearbox
    Mathematical Problems in Engineering, 2018
    Co-Authors: Mo Shuai, Zhang Ting, Jin Guoguang, Feng Zhanyong, Gong Jiabei, Zhu Shengping
    Abstract:

    In this study, the dynamic model for the Herringbone planetary Gear transmission system is established by the lumped parameter method based on the system dynamics and the Lagrange equation, and the impact of the support stiffness and the torsional stiffness on dynamic characteristics is studied. The research results have a guiding significance for the design of the Herringbone Gear transmission system. In this model, the Herringbone Gear is treated as a special Gear coupled by 2 opposite helical Gears, where the stagger angle, comprehensive meshing error, support stiffness, support damping, and load inertia are considered in the analysis of dynamics. Moreover, the dynamic characteristic of the carrier is considered as well. By calculating the meshing force curve of the transmission system, the impact of the stagger angle, supporting stiffness, and the torsional stiffness on meshing force and load sharing coefficient is analyzed. The results show that the stagger angle has an obvious impact on load sharing coefficient while it has little impact on maximum meshing force. And the support stiffness has a more obvious impact on the dynamic characteristics of the system. The recommendary support stiffness of the system is that all of the support stiffness of the sun Gear, planetary Gear, ring Gear, and carrier is 107 N/m. The torsional stiffness has little impact on the dynamic characteristics of transmission system, except the torsional stiffness of planetary Gear, and carrier has an obvious impact on load sharing coefficient. The commercial software ADAMS carried out dynamics analysis of the transmission system to verify the necessity validity of the theoretical analysis.

Jin Feng Xiao - One of the best experts on this subject based on the ideXlab platform.

  • Prediction and Control for Profile Angle Error of Slotting Cutter of Herringbone Gear in Turbine Redactor
    Advanced Materials Research, 2010
    Co-Authors: Jin Feng Xiao, Chun Liang Zhang, Liang Bin Hu
    Abstract:

    Relative to Gear shaping and Gear hob, using Gear slotting produces Herringbone Gear which is used in nuclear power turbine speed redactor has more obvious technical and economic benefits, but profile angle error of slotting cutter causes profile error and base pitch deviation of Herringbone Gear. It will result in high-frequency noise which damages the tactical and technical performance of warship. By analyzed the wire cutting system of rack cutter used in MAAG type Gear machining for Herringbone Gear, the mathematical model of error prediction for rack cutter profile angle was founded. On the base of model of error prediction, the principle of error control and the method of revision control are presented. Finally, the example of prediction and control is provided.

  • The profile angle correction technique of rack cutter to lower the Herringbone Gear noise
    2010 International Conference on Mechanic Automation and Control Engineering, 2010
    Co-Authors: Chun Liang Zhang, Jin Feng Xiao
    Abstract:

    Sunderland Gear cutter machine is suitable for finish machining of Herringbone Gear with small or without hollow groove which is designed by small size. But profile angle error for rack cutter will cause profile error and pitch deviation of Gear, and cause high-frequency noise. The profile error of two side edges of rack cutter should be paired according to the principle of meshing surface. By analyzing the wire cutting system of Sunderland rack cutter for Herringbone Gear, the mathematical model of error prediction for the profile angle error for rack cutter is founded; the profile angle correction technique and the examples for rack cutter are proposed based on the methods of prediction and detection.