The Investigation of Coupled Vibration of Automobile Transmission System and Its Intelligent Design

Liu, Xiaogang; Ding, Xiang; Zeng, Chunhui; Huang, Fei

doi:10.3390/machines10060428

Cited by 5 publications

(4 citation statements)

References 20 publications

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“…One of the responsible technological multi-component elements is the vehicle gearbox (which exceptional importance is confirmed by the relevant research reflected in the publications of Y. X. Li [27], J. A. Dhanraj [28], X. Liu [29], E. Abboud [30]), for the production of which, as well as for all machine production, the development, and implementation of adaptive solutions that allow to achieve an optimal cost/quality ratio, including through the integration of the developing tools of Industry 4.0 automation. As part of this study, it is planned to use scientometric tools to determine the vector of development of gearbox assembly process automation tools and identify potential solutions that will improve the manufacturability, productivity, flexibility of automated production lines with the appropriate provision of an optimal cost/quality ratio.…”

Section: Introductionmentioning

confidence: 87%

Automating the Assembly Process of Passenger Car Gearboxes

Filatov¹

2022

AJRCoS

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Aims: The study aims to identify ways and potential solutions to automate the assembly and production process for passenger car gearboxes. Object of Research: Assembly and production process for car gearboxes. Subject of Research: Modern and evolutionary automation tools that have the potential to be implemented in the assembly processes of automotive transmission controls. Methodology: To achieve this goal, as part of this study, it is planned to apply methods of bibliometric analysis of leading scientometric databases to obtain correlation relationships and analytical conclusions regarding the vector of development of automation means of passenger car gearbox assembly process. Results: As a result of the research by means of scientometric analysis and correlation the vector of probabilistic technical solutions of integration and development of automation means of the sequence of production operations during the assembly of the transmission, as well as adaptive framework-design solutions for the implementation of tools of the fourth iteration of industrial-industrial progress in the production processes of assembly of the studied technical control means and logical-technological connection of the elements of the transmission system, which affect the overall process of automotive manufacturization. Conclusion: The passenger car gearbox is a multi-component, complex system whose assembly is a complex multi-operational process, and given the high responsibility of this machine element, there is an urgent need to introduce modern automation tools into the assembly and production processes, which will significantly optimize global automatofactoring. The practical results of the present study consist in the formation of a focus scientometric database of profile data, identification of a potential vector of development of means and systems of automation of assembly-production operations, identification and formation of solutions for the implementation of modern means of automated production in the actual global automotive manufacturing, which allows to get the optimum ratio of production costs/quality of products by improving the manufacturability, productivity and flexibility of processes of assembly of multi-element and multi-component automotive systems and structures.

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Section: Introductionmentioning

confidence: 87%

Automating the Assembly Process of Passenger Car Gearboxes

Filatov¹

2022

AJRCoS

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“…In addition, the left and right mode feature matrixes in Equation ( 8) can be expressed as, (10) The two feature matrixes PL and P satisfy the following equation, Analytical expressions of each element of the feature vector can be acquired by solving the Equations ( 10) and (11), ( )…”

Section: Prediction Model Of Wheel Squealmentioning

confidence: 99%

“…Then, the fitness related to SPL is acquired using the model developed in this research. In order to generate a new population, good solutions are transferred to the next generation and bad solutions are mutated, while the rest are recombined by crossover [10]. Finally, the optimised parameters are acquired when the average fitness is stabilised.…”

Section: Optimisation Based On Genetic Algorithmmentioning

confidence: 99%

Prediction and control of wheel squeal

Liu

2023

International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023)

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When a vehicle is negotiating a curve of track, a kind of wheel squeal tends to be generated. In order to predict and mitigate wheel squeal, a model of wheel squeal based on modal coupling and negative damping theory is developed. The sensitivity of angle of attack, rolling velocity, negative slope coefficient and wheel damping is analysed based on this model, and the results correlate well with experimental measurements, indicating that this model is effective. Furthermore, these parameters of wheel-rail system are optimised based on this model using genetic algorithm. When these optimised parameters are applied, the result shows that the wheel vibration amplitude decreases evidently, and the sound pressure level is reduced by 16 dB, indicating that the optimisation using genetic algorithm based on this model is effective.

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“…Transmission, as a typical mechanical product, is an important part of automotive transmission system [1]. In the rapidly developing automobile industry, transmission directly affects driving safety and fuel economy characteristics of cars [2].…”

Section: Introductionmentioning

confidence: 99%

Transmission Defects Localization Network: Towards Wrong Assembly in the Transmission Assembly Process

2023

ACSS

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Transmission valve component is an important part of automobile manufacture. The success of the assembly of transmission valve is directly related to driving safety of vehicles. While localizing transmission assembly defects is particularly important in assembly of transmission valve component. As an image processing problem, real-time assembly images of transmission valve component are adopted to determine whether the assembly is correct or wrong. Transmission valve component in these images have small, severe reflection, and sparse properties, which increases the difficulty of detection. Therefore, this paper proposes a transmission defects localization network based on Siamese network for improving the performance of assembly of transmission valve components. In our model, we establish an image similarity evaluation network with designed multi-scale features fusion approach. Furthermore, in order to reduce intra-class spacing by similar transmission valve part samples on evaluation action, an improved binary cross entropy and focal loss function is discovered for feature re-processing. Finally, experimental results on real-world transmission assembly dataset indicate that our proposed approach outperforms other compared methods.

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The Investigation of Coupled Vibration of Automobile Transmission System and Its Intelligent Design

Cited by 5 publications

References 20 publications

Automating the Assembly Process of Passenger Car Gearboxes

Automating the Assembly Process of Passenger Car Gearboxes

Prediction and control of wheel squeal

Transmission Defects Localization Network: Towards Wrong Assembly in the Transmission Assembly Process

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