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
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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 |
DOI | 10.1080/1064119X.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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