267
Views
2
CrossRef citations to date
0
Altmetric
Research Article

Optimization of impeller of deep-sea mining pump for erosive wear reduction based on response surface methodology

&
Pages 295-311 | Received 03 Dec 2021, Accepted 13 Jan 2022, Published online: 03 Feb 2022
 

Abstract

In a deep-sea mining system, coarse-grained minerals are transported most of the time, which puts greater demands on the hydraulic performance and wear resistance of the mining pump than the transport of other types of materials. The pump performance is affected by the parameters of its main flow passage components. The parameters of the impeller were studied in depth to propose a novel mining pump, and the wear conditions of single-stage mining pump produced by different types of solid particles and operating conditions were analyzed. After numerical simulations of 29 models were conducted, the response surface methodology (RSM) was used to develop an optimized pump model that achieves better performance than the original model. The efficiency is improved by 1.2%, head is reduced by 0.34 m, and the impeller average wear intensity is reduced by 29.5% under rated conditions.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by National Key Research and Development Project of China (2016YFC0304103). Ministry of Science and Technology, PRC.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 226.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.