Effects of wear on dynamic characteristics and stability of linear guides

Wang, Wei; Zhang, Yimin; Li, Changyou; Wang, Hao; Zhou, Yanxun

doi:10.1007/s11012-016-0605-x

Cited by 23 publications

(11 citation statements)

References 19 publications

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“…For the system level validation, the computed sliding friction is compared against the measured values. e friction force is calculated using equation (13). Figures 10 and 11 show the comparison.…”

Section: Validationmentioning

confidence: 99%

“…Consequently, rolling elements undergo coupled motions such as slipping and squeeze conditions. ese motions are excited by machining loads as well as the contact entertainment conditions [3], leading to instability [4][5][6][7], noise [8,9], fatigue [10][11][12], and wear [13,14]. is dynamic behavior also governs the frictional behavior and losses in the system.…”

Section: Introductionmentioning

confidence: 99%

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Effect of Lubricant Starvation on the Tribo‐Dynamic Behavior of Linear Roller Guideway

Soleimanian

Mohammadpour

Ahmadian

2021

Shock and Vibration

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This paper presents an experimentally validated numerical approach linear roller guideways considering coupled vertical and horizontal (feed) motions and taking into account lubricant starvation. The inlet starvation is considered by incorporating potential flow method. Results show that starvation has pronounced effect on the lubricant film thickness, friction, and applied load on contact by up to 32%. Localised pressure values may vary by up to 100%. The severity of starvation effect is frequency dependent. It is also revealed that the starvation effect can be controlled by the amount of preload on linear guideway.

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Section: Validationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effect of Lubricant Starvation on the Tribo‐Dynamic Behavior of Linear Roller Guideway

Soleimanian

Mohammadpour

Ahmadian

2021

Shock and Vibration

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“…The results show that the preload loss rate is influenced by the external loading, running speed, and surface asperities. In addition, the wear of the linear guide was shown to affect certain vibration behaviors, such as resonant frequency and amplitude to different trends, depending on the wear progress with running distance [12]. Essentially, worn out contact surfaces will lessen the interference between the balls and the groove of the linear guide, and hence, reduce the preload from an initially higher amount to a lower amount.…”

Section: Introductionmentioning

confidence: 99%

Monitoring of Preload Variation of Linear Guide Positioning Stage Using Artificial Neural Network

et al. 2021

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In this paper, we propose an artificial neural network (ANN) predictive model to identify the linear guide preload based on the measured vibration features of the feeding stage. In this study, the relationship between the contact stiffness and preload level of a linear guide was investigated by an experimental analysis. Furthermore, the stage was assembled with different linear guide preloads for the motion test to assess the vibrations. Vibration levels with changes in preload values and feeding rates were examined. The predictive models were established and verified based on a dataset collected from tests using an ANN approach. The ANN models were shown to have an excellent accuracy of 96.5% in the training datasets, which were collected from stages with sliding blocks rated at consistent preloads. The average percentage prediction error in the verification dataset was approximately 8.54–11.23%. This is probably because the stage with an unevenly distributed preload in the sliding blocks induces vibration with more fluctuation, which eventually affects the prediction accuracy. The results verify the feasibility of online preload identification for the condition monitoring of the feeding system.

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“…These movements are caused by changes in the applied load transmitted to the linear guideway, as well as the contact conditions between the rollers and the raceway grooves, 3 which results in instability of vibration, [4][5][6][7] noise, 8,9 fatigue [10][11][12] and wear. 13,14 On the other hand, the friction force affects the precision of the linear guideway by acting as a damping force, the frictional heat generation leading to the dynamic variation in stiffness and temperature deformation of the machine tool (thermal distortion). 15 Hence, due to the combined transverse and vertical motions, any predictions should be based on the combination of dynamic analysis and the consideration of tribological contact conditions.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Coupled tribo-dynamic modelling of linear guideways for high precision machining application

Soleimanian

Mohammadpour

Ahmadian

2020

Proceedings of the Institution of Mechanical Engineers, Part J:

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Linear guideways play a crucial role in determining precision of machine tools. Understanding their dynamic response is essential for objectively controlling their behavior and performance in operation. Due to highly loaded lubricated contacts, mixed-elastohydrodynamic regime is dominant. The mixed-elastohydrodynamic film maintains the coupling between horizontal degree of freedom (feed velocity) and vertical degree of freedom (loading direction). This paper presents a novel tribo-dynamic solution for linear guideways, taking in to account the lubricant effects and coupling between horizontal and vertical degrees of freedom. An analytical tribology model is used implicitly within the dynamic model. For in-depth tribological quantities including pressure and film thickness distribution, an explicit full numerical solution for mixed-elastohydrodynamic is utilized. Results show that the coupled solution of vertical and horizontal degrees of freedom taking in to account lubricated contacts is essential. It is shown that at moderate and light loads, the effect of this coupling and presence of lubricant is more pronounced.

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Effects of wear on dynamic characteristics and stability of linear guides

Cited by 23 publications

References 19 publications

Effect of Lubricant Starvation on the Tribo‐Dynamic Behavior of Linear Roller Guideway

Effect of Lubricant Starvation on the Tribo‐Dynamic Behavior of Linear Roller Guideway

Monitoring of Preload Variation of Linear Guide Positioning Stage Using Artificial Neural Network

Coupled tribo-dynamic modelling of linear guideways for high precision machining application

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