The gearbox wears state monitoring and evaluation based on on-line wear debris features

Cao, Wei; Zhang, Han; Wang, Ning; Wang, Hai Wen; Peng, Zhongxiao

doi:10.1016/j.wear.2018.12.068

Cited by 36 publications

(22 citation statements)

References 27 publications

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“…Friction and wear between moving components have an important influence on the energy loss of engineering equipment [1][2][3]. Lubrication technology is of great significance to improve the tribological properties and reduce the wear of friction pairs [4,5].…”

Section: Introductionmentioning

confidence: 99%

The Application of Nano-MoS2 Quantum Dots as Liquid Lubricant Additive for Tribological Behavior Improvement

Guo

Peng

et al. 2020

Nanomaterials

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Molybdenum disulfide quantum dots (MoS2 QDs) are a promising lubricant additive for enhanced engine efficiency. In this study, MoS2 QDs were used as lubricating oil additives for ball-on-disc contact and had adequate dispersity in paroline oil, due to their super small particle size (~3 nm). Tribological results indicate that the friction coefficient of paroline oil with 0.3 wt.% MoS2 QDs reached 0.061, much lower than that of pure paroline oil (0.169), which is due to the formation of a stable tribo-film formed by the MoS2, MoO3, FeS, and FeSO4 composite within the wear track. Synergistic lubrication effects of the tribo-film and ball-bearing effect cooperatively resulted in the lowest friction and wear.

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Section: Introductionmentioning

confidence: 99%

The Application of Nano-MoS2 Quantum Dots as Liquid Lubricant Additive for Tribological Behavior Improvement

Guo

Peng

et al. 2020

Nanomaterials

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“…In order to obtain the better tribological performance, the scholars are focusing on establishing friction and wear model to investigate the relationship between friction and energy consumption of the ICEs [4][5][6][7][8], and the effect of lubrication on friction of piston rings-cylinder liner was studied [9,10]. To monitor the wear state, some scholars analyzed the wear information of abrasive particles in the oil, and the wear of the ICEs was evaluated [11][12][13][14]. In the above works, the most scholars focused on system's friction and wear of piston ring-cylinder liner.…”

Section: Introductionmentioning

confidence: 99%

Wear assessment model for cylinder liner of internal combustion engine under fuzzy uncertainty

Kang

Lü

Luo

et al. 2021

Mechanics & Industry

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The wear of the piston ring-cylinder system is inevitable in the operation of the internal combustion engines (ICEs). If wear exceeds the maximum, the piston ring-cylinder system will be failure. A novel wear assessment model is proposed based on the support vector regression, and the fuzzy uncertainty is modeled to describe the random behavior under small sample. To verify the proposed model, the sample data of cylinder liner wear is applied. For best results, the particle swarm optimization (PSO) algorithm is used to optimize the model parameters. A back propagation neural network (BPNN) is employed to verify the effectiveness of the proposed model. The results show that the novel support vector regression has better prediction accuracy than other methods for cylinder wear in this paper, the proposed model can evaluate the cylinder liner wear of the ICEs effectively. The work provides a technical support for evaluating the service performance of the piston ring-cylinder liner and a reference for regular maintenance of the ships.

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“…Experienced processing personnel to estimate wear conditions based on processing noise, colour, vibration, and time mainly use traditional wear status monitoring. is method relies on human experience and is not conducive to promotion [22,23]. In order to realize online monitoring of wear status, many advanced condition-monitoring methods have been proposed [24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Control Force Compensation and Wear Monitoring of Variable Stiffness Joints in Drive Machining Process

Yan-chen

2021

Mathematical Problems in Engineering

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Aiming at the joint flexibility and wear state existing in the process of driving mechanical parts, this paper first proposes a stiffness and position decoupling control method for variable stiffness joints, which realizes the joint position control and the unity of joint compliance. The joint stiffness model was obtained by using the static relationship between the Jacobian matrix and the model, and the nonlinear equations composed of the mechanical model and the stiffness model of the variable stiffness device were solved by the optimization method to realize the nonlinear decoupling of the stiffness and position of the variable stiffness joint. Secondly, this paper proposes an online monitoring method of wear state in the machining process based on machine tool information. In this method, OPC-UA communication technology was used to collect and store the information of CNC machine tools online, and the internal process information related to the wear of the machine tools was obtained. Based on such information and the corresponding wear information, a wear state recognition model is established by using a convolutional neural network. The feasibility and effectiveness of the proposed compliance control scheme and the performance of online monitoring of wear condition are analysed and verified by simulation experiments.

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The gearbox wears state monitoring and evaluation based on on-line wear debris features

Cited by 36 publications

References 27 publications

The Application of Nano-MoS2 Quantum Dots as Liquid Lubricant Additive for Tribological Behavior Improvement

The Application of Nano-MoS2 Quantum Dots as Liquid Lubricant Additive for Tribological Behavior Improvement

Wear assessment model for cylinder liner of internal combustion engine under fuzzy uncertainty

Control Force Compensation and Wear Monitoring of Variable Stiffness Joints in Drive Machining Process

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