PARAMETER OPTIMIZATION OF LARGE SAG MILL LINER BASED ON DEM AND KRIGING MODEL

Autor:	Ruihua Jiang, Kang Kang Sun, Yajuan Hou, Jingxi Li, Guoqiang Wang
Rok vydání:	2021
Předmět:	Petroleum engineering Kriging Environmental science Mill Geology Energy consumption Geotechnical Engineering and Engineering Geology Parameter design Energy (signal processing) Grinding
Zdroj:	Journal of Mining Science. 57:32-44
ISSN:	1573-8736 1062-7391
DOI:	10.1134/s1062739121010051
Popis:	The authors analyze the influence of the semi-autogenous (SAG) mill parameters on the mill grinding efficiency, energy consumption and the tangential cumulative contact energy. This paper provides a new liner parameter design and optimization method, which offers theoretical guidance for the optimization design of liner parameters.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::92d54520a1f4f6ef8ac4bc197e128386 https://doi.org/10.1134/s1062739121010051 Zobrazit plný text záznamu Plný text ve formátu PDF