中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Optimization design of bionic grousers for the crawled mineral collector based on the deep-sea sediment

文献类型:期刊论文

作者Cai Qing3; Ma Wenbo3; Rao Qiuhua1; Li Ganxian4
刊名MARINE GEORESOURCES & GEOTECHNOLOGY
出版日期2020
卷号38期号:1页码:48
关键词Bionic grouser rate-dependent characteristics LEA-FE optimization design quadratic regression equation
ISSN号1521-0618
DOI10.1080/1064119X.2018.1551446
英文摘要Due to the low shear strength of deep-sea sediment, crawled mineral collector is easily slips in the deep-sea mining process, therefore, high-traction bionic grouser is needed to be studied to improve the working efficiency. Based on the rate-dependent characteristics of deep-sea sediment, a rate-dependent extended Drucker-Prager material constitutive model is used to define the deep-sea sediment. The Arbitrary Lagrange-Euler finite element (LEA-FE) was used to simulate the cutting process of different bionic grousers at different speeds. By comparing the simulation of different grousers, it was found that the maximum traction of grouser is related to the grouser parameters (distance L from the top to the curvature change point and curvature radius R). By analyzing the traction characteristics of different bionic grousers, the binary quadratic regression equation between maximum traction and bionic grouser parameters was established and the best bionic grouser parameters were obtained by the optimization algorithm. Based on the rate-dependent properties of deep-sea sediment, the traction characteristics at different speeds were analyzed and the relationship between maximum traction and speeds was established, the best bionic grouser walking speed was obtained, which can provide the theoretical basis for the crawled mineral collector.
源URL[http://ir.scsio.ac.cn/handle/344004/18586]  
专题南海海洋研究所_中科院边缘海地质重点实验室
作者单位1.Xiangtan Univ, Hunan Key Lab Geomech & Engn Safety, Xiangtan, Peoples R China
2.South China Sea Inst Oceanol, CAS Key Lab Ocean & Marginal Sea Geol, Guangzhou, Peoples R China
3.Xiangtan Univ, Coll Civil Engn & Mech, Xiangtan, Peoples R China
4.Cent S Univ, Sch Civil Engn, Changsha, Peoples R China
推荐引用方式
GB/T 7714
Cai Qing,Ma Wenbo,Rao Qiuhua,et al. Optimization design of bionic grousers for the crawled mineral collector based on the deep-sea sediment[J]. MARINE GEORESOURCES & GEOTECHNOLOGY,2020,38(1):48, 56.
APA Cai Qing,Ma Wenbo,Rao Qiuhua,&Li Ganxian.(2020).Optimization design of bionic grousers for the crawled mineral collector based on the deep-sea sediment.MARINE GEORESOURCES & GEOTECHNOLOGY,38(1),48.
MLA Cai Qing,et al."Optimization design of bionic grousers for the crawled mineral collector based on the deep-sea sediment".MARINE GEORESOURCES & GEOTECHNOLOGY 38.1(2020):48.

入库方式: OAI收割

来源:南海海洋研究所

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