Three-dimensional asperity model of rough surfaces based on valley–peak ratio of the maximum peak

Zhou, Changjiang; Wang, Haihang; Wang, Hongbing; Hu, Bo

doi:10.1007/s11012-021-01309-3

Cited by 6 publications

(5 citation statements)

References 44 publications

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“…The logarithmic function of P can further improve the detection performance of DP and reduce the occurrence of missing detection events. However, the interference of the enhanced DP detector to the adjacent path is still difficult to eliminate, so this study will combine the interference elimination and enhanced path detection technology to further improve the detection performance of DP [ 24 ]. The intersection of the results obtained by the two techniques is the result of our algorithm, which is expressed as follows:

where F C is the final result of the algorithm, F A is the result set of the interference elimination algorithm, and F B is the result set of the enhanced path algorithm.…”

Section: Establishment Of Vehicle Direct Path Detection Systemmentioning

confidence: 99%

[Retracted] Automatic Parking System Based on Improved Neural Network Algorithm and Intelligent Image Analysis

Guo

Shi

2021

Computational Intelligence and Neuroscience

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This research designs an intelligent parking system including service application layer, perception layer, data analysis layer, and management layer. The network system adopts opm15 system, and the parking space recognition adopts improved convolution neural networks (CNNs) algorithm and image recognition technology. Firstly, the parking space is occupied and located, and the shortest path (Dynamic Programming, DP) is selected. In order to describe the path algorithm, the parking system model is established. Aiming at the problems of DP low power and adjacent path interference in the path detection system, a method of combining interference elimination technology with enhanced detector technology is proposed to effectively eliminate the interference path signal and improve the performance of the intelligent parking system. In order to verify whether the CNNs system designed in this study has advantages, the simulation experiments of CNNs, ZigBee, and manual parking are carried out. The results show that the parking system designed in this study can control the parking error, has smaller parking error than ZigBee, and has more than 25.64% less parking time than ZigBee, and more than 34.83% less time than manual parking. In terms of parking energy consumption, when there are less free parking spaces, CNNs have lower energy consumption.

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where F C is the final result of the algorithm, F A is the result set of the interference elimination algorithm, and F B is the result set of the enhanced path algorithm.…”

Section: Establishment Of Vehicle Direct Path Detection Systemmentioning

confidence: 99%

[Retracted] Automatic Parking System Based on Improved Neural Network Algorithm and Intelligent Image Analysis

Guo

Shi

2021

Computational Intelligence and Neuroscience

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“…In the original GW model, 49 plasticity index normalΨ = ( E * H ) σ R was defined to determine the mode of deformation (elastic or plastic), where E * is the composite Young's modulus, H is the hardness, σ is the standard deviation of the height distribution and R is the average asperity radius of curvature. The 9-point peak criterion (9 PP criterions) was used to identify an asperity and the asperity radius was determined using equation (1) by Zhou et al 51 The asperity radius of each rough surface was determined by averaging asperity radius of all asperity peak. For three rough surfaces ( R a = 0.499, 4.625 and 8.951 µm) generated in this article, the asperity radii are 202, 121 and 65 µm, respectively.…”

Section: Resultsmentioning

confidence: 99%

A statistics view of contact pressure distribution for normal contact of fractal surfaces

Yang,

Xu,

2023

Proceedings of the Institution of Mechanical Engineers, Part J:

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Due to inherent nonlinear stiffness and damping characteristics, dry friction interfaces have a significant impact on the dynamics of jointed structures. When two surfaces are brought into purely normal contact, contact pressure distribution is of high concern. This work focused on the statistics of the contact pressure distribution between a rough surface and a smooth rigid plane, which provides new insight into the interface contact behaviour. First, the fractal rough surface is generated using the Weierstrass–Mandelbrot function with measured roughness parameters. With meshed rough surfaces, an elastic–plastic finite element contact analysis is performed to determine the contact pressure distribution. Then, the results of contact pressure are statistically analysed. The effects of roughness and contact load on contact area, contact stiffness and mean contact pressure are thoroughly investigated. The probability distribution of contact pressure is determined by fitting a continuous function using a twofold Weibull mixture model. The proposed probability distribution function is found to be capable of describing contact pressure. The contact pressure distribution is affected by the surface fractal characteristics and evolves with the contact load.

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“…The rough asperities can be modelled as the set of the elasto-plastically deformed hemispheres [154] to [157], hemi-ellipsoids [157] and [158] or paraboloids [159] and [160] with various distributions.…”

Section: The Effect Of Lubrication On the Contact Pressure In Contact...mentioning

confidence: 99%

The Measurement of the Wear of Tie Rod End Components

Woźniak¹,

Rylski²,

Siczek³

2022

sv-jme

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This study aimed to determine the wear intensity of the bearing mating with the ball stud in the tie rod end. The course of the vehicle driving during the period between repairs of the steering assembly was assumed. The modelled scheme of cornering was assumed to be close to the real one. The model of steering mechanism allowing determination of the load of the stud of the tie rod end as a function of the steering angle was elaborated and presented. The model of the ball stud was realized and described. The values of wear intensity for components were calculated and presented.

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Three-dimensional asperity model of rough surfaces based on valley–peak ratio of the maximum peak

Cited by 6 publications

References 44 publications

[Retracted] Automatic Parking System Based on Improved Neural Network Algorithm and Intelligent Image Analysis

[Retracted] Automatic Parking System Based on Improved Neural Network Algorithm and Intelligent Image Analysis

A statistics view of contact pressure distribution for normal contact of fractal surfaces

The Measurement of the Wear of Tie Rod End Components

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