Study on the influence of collecting parameters of deep-sea seafloor massive sulfide on ore collecting characteristics

海底扩张 物理 硫化物 海洋学 地球物理学 地质学 冶金 材料科学
作者
Bei Zhang,Haining Lu,Jianmin Yang,Pengfei Sun,Liwen Deng
出处
期刊:Physics of Fluids [American Institute of Physics]
卷期号:36 (7) 被引量:1
标识
DOI:10.1063/5.0218647
摘要

The commercialization of deep-sea mining has put forward strict requirements for ore collection output, ore collection efficiency, and environmental disturbance. However, the research of seafloor massive sulfide collection is in the initial stage. The influence of ore-collecting working parameters on the ore-collecting performance is not clear. In order to realize the commercial exploitation of deep-sea minerals, it is urgent to carry out the analysis and research on the influence of ore-collecting parameters on ore-collecting characteristics. The computational fluid dynamics-discrete element method is adopted in this paper to carry out numerical simulation research. Through the qualitative and quantitative analysis method, the influence law of six ore collecting parameters on ore collecting characteristics was analyzed. On this basis, the prediction model of ore-collecting characteristics and the optimal selection of ore-collecting parameters are proposed. Through the research, it is suggested to select 133.2 kg/s flow suction for ore collecting hard pipe; 60 rpm rotation speed is recommended for the mining head. It is recommended to select mining areas with the mineral density of 3000 kg/m3 for collection. The collection stage should be broken as far as possible to the 25 mm chip size. The recommended cutting depth is 224 mm if the strength and system metrics are met. The research of this paper provides a theoretical basis for the practice of deep-sea ore collection and has guiding significance for the selection of ore collection parameters, structural optimization design, and other engineering problems.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
小蘑菇应助xuan采纳,获得10
刚刚
了结完成签到 ,获得积分10
1秒前
ding应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
2秒前
wanci应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
SciGPT应助科研通管家采纳,获得10
2秒前
舒适的天玉完成签到,获得积分10
2秒前
充电宝应助科研通管家采纳,获得10
2秒前
Ava应助科研通管家采纳,获得10
2秒前
科研通AI6.2应助sanages采纳,获得10
3秒前
3秒前
噜噜噜完成签到,获得积分10
3秒前
后会无期完成签到,获得积分10
6秒前
畅快友儿完成签到,获得积分10
6秒前
小资完成签到 ,获得积分10
7秒前
刘凯完成签到,获得积分10
7秒前
zhscu完成签到,获得积分10
8秒前
9秒前
10秒前
无情忆曼完成签到,获得积分10
10秒前
可爱的函函应助果果采纳,获得10
12秒前
huanger发布了新的文献求助10
13秒前
Jingzhou发布了新的文献求助10
14秒前
下文献完成签到,获得积分10
15秒前
18秒前
下文献发布了新的文献求助10
25秒前
25秒前
26秒前
Atticus完成签到,获得积分10
27秒前
李彪完成签到,获得积分10
29秒前
29秒前
绿色催化发布了新的文献求助50
30秒前
正直的念梦完成签到,获得积分10
30秒前
31秒前
怡然的白柏应助Atticus采纳,获得10
31秒前
怡然的如冰完成签到 ,获得积分10
32秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6356344
求助须知:如何正确求助?哪些是违规求助? 8171234
关于积分的说明 17203500
捐赠科研通 5412276
什么是DOI,文献DOI怎么找? 2864564
邀请新用户注册赠送积分活动 1842098
关于科研通互助平台的介绍 1690360