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Simulation and optimization of the tracked chassis performance of electric shovel based on DEM-MBD
Chen, Zeren1; Xue, Duomei2; Wang, Guoqiang1; Cui, Da1; Fang, Yi1; Wang, Shuai3
2021-09-01
Source PublicationPowder Technology
ISSN0032-5910
Volume390Pages:428-441
Abstract

To study and optimize the tracked chassis performance of electric shovel performance. First, the sand-gravel pavement model is built based on the discrete element method (DEM), and the virtual prototype model of the electric shovel is established. On this basis, the impacts of the pre-tension force, the road-wheel spacing, the sprocket speed, and the grouser height on the tracked chassis performance are explored by the coupling method of DEM and multi-body dynamics (MBD), and the performance prediction model of tracked chassis is obtained through Kriging interpolation method. Finally, taking ground pressure distribution, power, and track tension as the optimization goal, multi-objective optimization based on genetic algorithm (GA) and performance prediction model of tracked chassis is implemented, and the corresponding optimization values are 21,028 N, 1.10 rad/s, −12.97 mm, and 9.50 mm. The feasibility of the optimization results is then confirmed via comparison with results of DEM-MBD simulation, the results show that the power and tractive force are reduced to varying degrees, and the ground pressure variation coefficient and track tension are increased.

KeywordDem-mbd Genetic Algorithm Kriging Interpolation Method Multi-objective Optimization Tracked Chassis
DOI10.1016/j.powtec.2021.05.085
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEngineering
WOS SubjectEngineering, Chemical
WOS IDWOS:000730155000007
Scopus ID2-s2.0-85107279265
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Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorWang, Shuai
Affiliation1.School of Mechanical and Aerospace Engineering, Jilin University, Changchun, 130025, China
2.Laboratory of Theoretical and Computational Chemistry, Institute of Theoretical Chemistry, College of Chemistry, Jilin University, Changchun, 130023, China
3.State Key Laboratory of Internet of Things for Smart City and Department of Electrical and Computer Engineering, University of Macau, Macao, 999078, China
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Chen, Zeren,Xue, Duomei,Wang, Guoqiang,et al. Simulation and optimization of the tracked chassis performance of electric shovel based on DEM-MBD[J]. Powder Technology,2021,390:428-441.
APA Chen, Zeren,Xue, Duomei,Wang, Guoqiang,Cui, Da,Fang, Yi,&Wang, Shuai.(2021).Simulation and optimization of the tracked chassis performance of electric shovel based on DEM-MBD.Powder Technology,390,428-441.
MLA Chen, Zeren,et al."Simulation and optimization of the tracked chassis performance of electric shovel based on DEM-MBD".Powder Technology 390(2021):428-441.
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