A Comparison of Gear Mesh Stiffness Modeling Strategies

Meagher, Jim; Wu, Xi; Kong, Dewen; Lee, Chun Hung

doi:10.1007/978-1-4419-9834-7_23

Cited by 15 publications

(11 citation statements)

References 10 publications

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“…Another way to address the contact analysis is related to FEM simulations; this approach is helpful to determine the gear contact stiffness and the corresponding strain and stress distributions in the teeth. In particular the multibody kinematic approach uses a contact stiffness which depends on parameters that are not yet well understood [6]. In the present work the overload effects due to both speed and meshing in a gear couple of an electric vehicle transmission have been analyzed.…”

Section: Introductionmentioning

confidence: 99%

Dynamic additional loads influencing the fatigue life of gears in an electric vehicle transmission

Belingardi¹,

Cuffaro²,

Curá³

2014

Frattura Ed Integrità Strutturale

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In recent years the implementation of the electric engine in the automotive industries has been increasingly marked. The speed of the electric motors is much higher than the combustion engine ones, bringing transmission gears to be subjected to high dynamic loads. For this reason the dynamic effects on fatigue life of these components have be taken into account in a more careful way respect to what is done with the usual gears. In the present work the overload effects due to both speed and meshing in a gear couple of an electric vehicle transmission have been analyzed. The electric vehicle is designed for urban people mobility and presents all the requirements to be certified as M1 vehicle (a weight less than 600 kg and a maximum speed more than 90 Km/h). To investigate the overload effects of teeth in contact, the reference gear design Standards (ISO 6336) introduce a specific multiplicative factor to the applied load called Internal Dynamic Factor (K v ). Aim of this work is to evaluate how dynamic overloads may influence the fatigue life of the above quoted gears in term of durability. To this goal, K v values have been calculated by means of the analytical equations (ISO 6336 Methods B and C) and then they have been compared with the results coming from multibody simulations, involving full rigid and rigid-flexible models.

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Section: Introductionmentioning

confidence: 99%

Dynamic additional loads influencing the fatigue life of gears in an electric vehicle transmission

Belingardi¹,

Cuffaro²,

Curá³

2014

Frattura Ed Integrità Strutturale

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“…Many authors [9][10][11][12] utilized different methods of estimating time-varying stiffness in order to get practical dynamic simulation results. Meagher et al [13] presented three different dynamic system modeling strategies currently being used by researchers to identify diagnostic indicators of gear health: a strength of materialsbased lumped parameter model, nonlinear quasistatic finite element modeling, and rigid multibody kinematic modeling with nonlinear contact stiffness. This research contrasts these methods of modeling gear dynamics by comparing their predicted stiffness cycle and its effect on dynamic response.…”

Section: Introductionmentioning

confidence: 99%

Gear Defect Modeling of a Multiple‐Stage Gear Train

Sommer

Meagher

2011

Modelling and Simulation in Engineering

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This study demonstrates the transient and steady state dynamic loading on teeth within a two-stage gear transmission arising from backlash and geometric manufacturing errors by utilizing a nonlinear multibody dynamics software model. Backlash between gear teeth which is essential to provide better lubrication on tooth surfaces and to eliminate interference is included as a defect and a necessary part of transmission design. Torsional vibration is shown to cause teeth separation and double-sided impacts in unloaded and lightly loaded gearing drives. Vibration and impact force distinctions between backlash and combinations of transmission errors are demonstrated under different initial velocities and load conditions. The backlash and manufacturing errors in the first stage of the gear train are distinct from those of the second stage. By analyzing the signal at a location between the two stages, the mutually affected impact forces are observed from different gear pairs, a phenomenon not observed from single pair of gears. Frequency analysis shows the appearance of side band modulations as well as harmonics of the gear mesh frequency. A joint time-frequency response analysis during startup illustrates the manner in which contact forces increase during acceleration.

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“…The other one is a continuous contact where the contact is defined as a nonlinear spring (see Fig. 3) (Meagher, WU and KONG, 2010). Both of them are respectively available in MSC.Adams/View as the Restitution Method which calculates the collision force by a recovery coefficient, and the Impact Method which uses the stiffness and damping coefficients to calculate the contact force.…”

Section: Determination Of the Contact Force Parametersmentioning

confidence: 99%

Simulation of Failure in Gearbox Using MSC.Adams

Furch

Nguyen

2017

Acta Univ. Agric. Silvic. Mendelianae Brun.

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Vehicle's gearbox is regarded as one of the most crucial elements in a vehicle but it sustains a variety of faults such as a broken tooth, misalignment, imbalance, looseness, and even a broken case. Using accelerometers, which are mounted on the case to measure a vibration signal, we can detect faults and monitor the condition but the signals are often complicated and difficult to interpret. Moreover, it is costly and almost impossible to change the structure of a gearbox in order to survey, for instance, the dependence of a vibration signal on the structure, or types of a fault. In this paper a dynamic model of gearbox was developed with tooth breakage to study the capability of simulation using MSC.Adams software. In this simulation we focus on the gearbox used in a common military vehicle. The simulation was based on a nonlinear contact force to predict what happens to the gearbox in case the tooth breaks. The contact mechanics model of the meshing teeth is studied thoroughly by selecting contact simulation parameters such as stiffness, force exponent, damping and friction coefficients. To simulate the real working environment of the gearbox, simulated bearings were also built in the MSC. Adams. The paper shows that it is possible to simulate vibration signals by the gearbox model created in 3D CAD software and analyze the results in the multi-body dynamics software MSC.Adams.

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A Comparison of Gear Mesh Stiffness Modeling Strategies

Cited by 15 publications

References 10 publications

Dynamic additional loads influencing the fatigue life of gears in an electric vehicle transmission

Dynamic additional loads influencing the fatigue life of gears in an electric vehicle transmission

Gear Defect Modeling of a Multiple‐Stage Gear Train

Simulation of Failure in Gearbox Using MSC.Adams

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