Investigation on mechanical behavior of planetary roller screw mechanism with the effects of external loads and machining errors

Du, X.H.; Chen, Bingkui; Zheng, Zhengding

doi:10.1016/j.triboint.2020.106689

Cited by 43 publications

(27 citation statements)

References 16 publications

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“…The results showed it was beneficial to achieve even load distribution to a certain extent. Du et al [5] proposed the modeling approach of the load distribution by incorporating the axial load, radial load, and machining error, and revealed that the contact force periodically changed as the increase of the thread number as the PRSM was subjected to the radial load. For axial stiffness analysis, Jones and Velinsky [6] presented a stiffness model by the direct stiffness method and estimated the contact forces over threads and the overall stiffness of the PRSM.…”

Section: Doi: 101002/adts202100399mentioning

confidence: 99%

Research on Fractal Model of Load Distribution and Axial Stiffness of Planetary Roller Screw Mechanism Considering Surface Roughness and Friction Factor

Chen

Liu

et al. 2022

Advcd Theory and Sims

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The effects of surface roughness and material properties of the planetary roller screw mechanism (PRSM) on the axial stiffness and load distribution are rarely studied. In this paper, the load distribution model is presented by incorporating into friction factor and surface microtopography. The microcontact model is built by considering elastic and plastic regimes to calculate the total actual contact area. Moreover, the load distribution model is modified by introducing surface microcontact coefficient. Then, the influences of the nut position, fractal dimension, fractal roughness, friction factor, axial load, and material yield strength on the axial stiffness and load distribution are studied in detail. The numerical results show that the axial stiffness rises with the increment of the nut position, axial load, fractal dimension, and yield strength, and reduces with the fractal roughness and friction factor increasing. In addition, the uniformity of the load distribution increases with the increment of the fractal roughness, and drops with the increase of the fractal dimension and material yield strength. This investigation lays the foundation for the design, manufacturing, and use of the PRSM.

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Section: Doi: 101002/adts202100399mentioning

confidence: 99%

Research on Fractal Model of Load Distribution and Axial Stiffness of Planetary Roller Screw Mechanism Considering Surface Roughness and Friction Factor

Chen

Liu

et al. 2022

Advcd Theory and Sims

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“…Moreover, in the PRSM, the multi-asperity contact regimes of mating surfaces between the roller and the screw could be different at contact positions. Because the normal contact forces of the roller thread teeth at contact positions decrease with the increase in thread number, and the difference between the maximum and the minimum contact force is more than 100 N [8,15]. Especially the contact forces are concentrated on the first few teeth.…”

Section: Multi-asperity Contactsmentioning

confidence: 99%

“…Du et al [15] proposed a modified load distribution model by considering both axial load and radial load, and showed that the contact forces and fatigue life were influenced by the variation of external loads and machining errors. Ma et al [16] reported the friction nature of the mating thread surface and revealed the normal pressure and friction force distributions.…”

Section: Introductionmentioning

confidence: 99%

A Multiscale Accuracy Degradation Prediction Method of Planetary Roller Screw Mechanism Based on Fractal Theory Considering Thread Surface Roughness

Meng¹,

Li³

et al. 2021

Fractal Fract

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The wear problems are vital to the planetary roller screw mechanism (PRSM) as they have a great influence on transmission accuracy, working efficiency, and service life. However, the wear characteristics of the PRSM have been rarely investigated in the past. In this paper, a multiscale adhesive wear model is established by incorporating the effective wear coefficient and considering the thread surface roughness. The variation of surface roughness is characterized by the two-dimension Majumdar–Bhushan (MB) function. The multi-asperity contact regimes are used to estimate microcontact mechanics of the rough interface. Moreover, the influences of surface roughness, material properties, and working conditions on the wear depth and precision loss of the PRSM are studied in detail. The results reveal that as the surface roughness increases, the total actual contact area, wear depth, and precision loss rate rise. In addition, the adhesive wear increases with the growth of the axial load, and decreases with the increase in the material hardness and material elastic modulus ratio to a certain extent. The investigation opens up a theoretical methodology to predict the wear volume and precision loss with regard to thread surface roughness, which lays the foundation for the design, manufacturing, and application of the PRSM.

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“…In the last decades, researches on the PRSM have mainly focused on load distribution, [5][6][7] meshing principle, 8 thermal characteristic analysis, 9,10 kinematic analysis, 11 transmission accuracy, 12 and so on. Du et al 7 established a load distribution model considering the effect of incorporate radial load and machining error. The results showed the load distribution and fatigue life dramatically change with machining errors.…”

Section: Introductionmentioning

confidence: 99%

A dynamic separable convolution RCNN for lubrication condition identification of planetary roller screw mechanism

Cai

et al. 2022

Advances in Mechanical Engineering

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Lubrication condition has a strong effect on the service ability of planetary roller screw mechanism (PRSM), so how to effectively identify the lubrication condition of PRSM is highly important in practical industrial applications. A dynamic separable convolution residual convolutional neural network (DSC-RCNN) method is proposed in this paper for the lubrication condition identification of PRSM. In the proposed method, a dynamic separable convolution (DSC) is developed by adopting depthwise separable convolution and dynamic convolution. To verify the learning competence of the proposed method, the PRSM failure test is carried out firstly and vibration data of the PRSM with and without grease are collected in multiple working conditions. Then, three experiments are implemented. The first one is to obtain the optimal number of the depthwise separable convolution in the DSC. The second one compares the effect of the DSC unit and the dynamic convolution unit on the diagnosis capacity of the proposed method. The last one compares SVM, BSA-SVM, AEs, LSSVM, LSTM, VGG-13, and the proposed method. The results reveal the best number of the depthwise separable convolution, the optimal unit of the proposed model and indicate that the DSC-RCNN has enormous recognition and transfer learning abilities.

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Investigation on mechanical behavior of planetary roller screw mechanism with the effects of external loads and machining errors

Cited by 43 publications

References 16 publications

Research on Fractal Model of Load Distribution and Axial Stiffness of Planetary Roller Screw Mechanism Considering Surface Roughness and Friction Factor

Research on Fractal Model of Load Distribution and Axial Stiffness of Planetary Roller Screw Mechanism Considering Surface Roughness and Friction Factor

A Multiscale Accuracy Degradation Prediction Method of Planetary Roller Screw Mechanism Based on Fractal Theory Considering Thread Surface Roughness

A dynamic separable convolution RCNN for lubrication condition identification of planetary roller screw mechanism

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