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Research on the disturbance behaviour of the track chassis to the sand-gravel pavement during the steering process of the electric shovel based on DEM
Chen, Zeren1; Xue, Duomei2; Guan, Wei3; Liu, Zhengbin3; Guo, Jianbo3; Wang, Guoqiang3; Wang, Shuai4
2022-09-01
Source PublicationAdvanced Powder Technology
ISSN0921-8831
Volume33Issue:9
Abstract

To analyse and improve the disturbance behaviour of the track chassis to the sand-gravel pavement during the steering process of the electric shovel, the steering process of the electric shovel is taken as the specific analysis object, and the steering radius, the steering velocity, the grouser width, and the grouser height are regarded as influence factors. The disturbance prediction model of the electric shovel is established through the coupling method of discrete element method (DEM) and multi-body dynamics (MBD) and the Kriging model. On this basis, the steering disturbance behaviours of the track chassis to the sand-gravel pavement under different working conditions are obtained. Finally, taking variation coefficient ratio of ground pressure, power, and disturbance potential energy as the optimization goal, the multi-objective optimization based on genetic algorithm (GA) and the disturbance prediction model is implemented, and the corresponding optimization results are 6.02 m, 0.14 m/s, 19.61 mm, and 12.68 mm. The feasibility of the optimization results is then confirmed via comparison with ones of DEM-MBD coupling simulation, the results show that the variation coefficient ratio of ground pressure, power, and disturbance kinetic energy are reduced to varying degrees, and the disturbance potential energy is greatly improved. This indicates that the disturbance of the track chassis to the sand-gravel pavement has been improved, which is conducive to better steering of the electric shovel.

KeywordDem-mbd Disturbance Prediction Model Multi-objective Optimization Particle Behaviour Track Chassis
DOI10.1016/j.apt.2022.103731
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEngineering
WOS SubjectEngineering, Chemical
WOS IDWOS:000843783000003
Scopus ID2-s2.0-85135283048
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorChen, Zeren
Affiliation1.College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan, 030024, China
2.Laboratory of Theoretical and Computational Chemistry, Institute of Theoretical Chemistry, College of Chemistry, Jilin University, Changchun, 130023, China
3.School of Mechanical and Aerospace Engineering, Jilin University, Changchun, 130025, China
4.State Key Laboratory of Internet of Things for Smart City and Department of Electrical and Computer Engineering, University of Macau, Macao, 999078, China
Recommended Citation
GB/T 7714
Chen, Zeren,Xue, Duomei,Guan, Wei,et al. Research on the disturbance behaviour of the track chassis to the sand-gravel pavement during the steering process of the electric shovel based on DEM[J]. Advanced Powder Technology,2022,33(9).
APA Chen, Zeren,Xue, Duomei,Guan, Wei,Liu, Zhengbin,Guo, Jianbo,Wang, Guoqiang,&Wang, Shuai.(2022).Research on the disturbance behaviour of the track chassis to the sand-gravel pavement during the steering process of the electric shovel based on DEM.Advanced Powder Technology,33(9).
MLA Chen, Zeren,et al."Research on the disturbance behaviour of the track chassis to the sand-gravel pavement during the steering process of the electric shovel based on DEM".Advanced Powder Technology 33.9(2022).
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