A combined experimental and computational study of lubrication mechanism of high precision reducer adopting a worm gear drive with complicated space surface contact

Deng, Xingqiao; Wang, Shisong; Hammi, Youssef; Qian, Linmao; Liu, Yucheng

doi:10.1016/j.triboint.2020.106261

Cited by 58 publications

(21 citation statements)

References 23 publications

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“…The overall churning loss is then obtained by adding together the losses of each rotating part as P = k j=1 (|T j |n j /9550), where k is the total number of the rotating parts in the system. For more details on calculating the churning losses and churning loss torque, please refer to Deng et al (2020b).…”

Section: Methodsmentioning

confidence: 99%

Simulation and experimental study of influences of shape of roller on the lubrication performance of precision speed reducer

Deng

Wang

Qian

et al. 2020

Engineering Applications of Computational Fluid Mechanics

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This paper presents a study to investigate the effects of the shape of rollers in high precision enveloping speed reducer on the reducer's lubrication performance. Theoretical models for the precision speed reducer with cylindrical and conical rollers as its transmission components were constructed at first based on the meshing theory. Next, numerical analysis was conducted investigate the lubrication status of the speed reducers with different types of rollers at four rotation speeds using ParticleWorks. The moving particle semi-implicit method embedded in that software was used to model the reducers and the inside lubricant flow. A sequence of tests was performed to inspect the transmission efficiency of the reducers at four different rotation speeds. Experimental data were compared to the simulation predictions. Comparisons showed that the data measured from the experiments matched the simulation results very well. Both experimental and computational results confirmed that the lubrication performance of the enveloping speed reducer with conical rollers is better than that of the speed reducer with cylindrical rollers. It has also been proven that the method of using the churning power losses to assess the effects of the shape of the rollers on the roller enveloping speed reducer's lubrication behavior is highly reliable.

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Section: Methodsmentioning

confidence: 99%

Simulation and experimental study of influences of shape of roller on the lubrication performance of precision speed reducer

Deng

Wang

Qian

et al. 2020

Engineering Applications of Computational Fluid Mechanics

Self Cite

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“…SPH method is a meshless and self-adapting fluid motion simulation method, the basic idea is that the continuous fluid is simplified as a number of interacting particles (Deng et al, 2020;Zhang et al, 2021). The motion and force at a point in the fluid are generally described by acceleration, which can be expressed by (Shadloo et al, 2016;Lu et al, 2017;Keller et al, 2019):…”

Section: Theorymentioning

confidence: 99%

Simulation and experimental study on lubrication of high-speed reducer of electric vehicle

Jia

Lei

Liu

et al. 2021

ILT

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Purpose The lubrication of the high-speed reducer of an electric vehicle is investigated. The specific contents include visualization of the flow field inside reducer, lubrication evaluation of bearings and efficiency experiment. Design/methodology/approach The flow field inside reducer at five working conditions: straight, uphill, downhill, left lean and right lean is simulated by smoothed particle hydrodynamics (SPH). According to the instantaneous number of particles through bearings, the lubrication states of bearings are evaluated. The test platform is set up to measure the efficiency of the reducer. Findings The flow field inside the reducer is obtained, the lubrication of bearings needs to be improved, the efficiency of the electric vehicle reducer meets the requirement. Originality/value The SPH method is used to simulate lubrication instead of using the traditional grid-based finite volume method. A novel method to evaluate the lubrication of bearings is proposed. The method and conclusions can guide electric vehicle reducer design.

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“…However, the drogue moves freely during towing conditions and the moving ary condition severely limits the efficiency of the solution provided by traditio methods [9]. Moving Particle Semi-implicit (MPS) is one kind of mesh-free method, developed by Koshizuka [10,11], and the fluid is stable at the wall bound The commercial software Particleworks has been used to analyse oil lubricatio gearbox and interaction between ocean wave and ship [13,14]. The computation faster with the parallel computing.…”

Section: Introductionmentioning

confidence: 99%

“…Moving Particle Semi-implicit (MPS) is one kind of mesh-free particle method, developed by Koshizuka [10,11], and the fluid is stable at the wall boundary [12]. The commercial software Particleworks has been used to analyse oil lubrication of the gearbox and interaction between ocean wave and ship [13,14]. The computation speed is faster with the parallel computing.…”

Section: Introductionmentioning

confidence: 99%

Study of the Cone-Shaped Drogue for a Deep-Towed Multi-Channel Seismic Survey System Based on Data-Driven Simulations

Zhu

Sun

et al. 2021

JMSE

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A drogue is used to stabilise and straighten seismic arrays so that seismic waves can be well-received. To embed the effect of a cone-shaped drogue into the numerical modelling of the deep-towed seismic survey system, one surrogate model that maps the relationship between the hydrodynamic characteristics of the drogue and towing conditions was obtained based on data-driven simulations. The sample data were obtained by co-simulation of the commercial software RecurDyn and Particleworks, and the modelling parameters were verified by physical experiments. According to the Morison formula, the rotational angle, angular velocity, angular acceleration, towing speed, and towing acceleration of the drogue were selected as the design variables and drag forces and aligning torque were selected as the research objectives. The sample data of more than 8500 sets were obtained from virtual manoeuvres. Subsequently, both polynomial and neural network regression algorithms were used to study these data. Finally, analysis results show that the surrogate model obtained by machine learning has good performance in predicting research objectives. The results also reveal that the neural network regression algorithm is superior to the polynomial regression algorithm, its largest error of mean square is less than 0.8 (N2/N2 mm2), and its R-squared is close to 1.

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A combined experimental and computational study of lubrication mechanism of high precision reducer adopting a worm gear drive with complicated space surface contact

Cited by 58 publications

References 23 publications

Simulation and experimental study of influences of shape of roller on the lubrication performance of precision speed reducer

Simulation and experimental study of influences of shape of roller on the lubrication performance of precision speed reducer

Simulation and experimental study on lubrication of high-speed reducer of electric vehicle

Study of the Cone-Shaped Drogue for a Deep-Towed Multi-Channel Seismic Survey System Based on Data-Driven Simulations

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