Zobrazeno 1 - 4
of 4
pro vyhledávání: '"T. D. Raynlyn"'
Autor:
T. D. Raynlyn, James Manuel, Sarath Hapugoda, E. Donskoi, A. Poliakov, Michael John Peterson, Peter Austin
Publikováno v:
Mineral Processing and Extractive Metallurgy. 131:14-24
To optimise processing/beneficiation procedures a detailed characterisation of goethitic ores is needed, including mineral liberation, association and textural classification. The identification of...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a37333e68d466fdb343db7a48eed113
https://doi.org/10.1080/25726641.2019.1706375
https://doi.org/10.1080/25726641.2019.1706375
Importance of textural information in mathematical modelling of iron ore fines sintering performance
Publikováno v:
Mineral Processing and Extractive Metallurgy. 127:103-114
Predicting the sintering performance of iron ore fines and the possibility of targeted optimisation of specific sinter properties are very important for the iron ore industry and related research organisations. A comprehensive database of pilot-scale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42a8df2a2182033ac117c74c5d069e17
https://doi.org/10.1080/03719553.2017.1300752
https://doi.org/10.1080/03719553.2017.1300752
Publikováno v:
International Journal of Mineral Processing. 87:106-119
A new modelling technique for simulating hydrocyclone performance has been developed, in which particles in every size fraction of the feed ore are classified based on ore texture type, taking into account that the same ore texture types in every siz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6381eb45a1212e9af90917accaf4f31b
https://doi.org/10.1016/j.minpro.2008.02.006
https://doi.org/10.1016/j.minpro.2008.02.006
Autor:
S. P. Suthers, S. B. Fradd, J. J. Campbell, J. M. Young, John Clout, T. D. Raynlyn, E. Donskoi
Publikováno v:
Minerals Engineering. 20:461-471
Optical image analysis is a very convenient tool for obtaining comprehensive information about fine iron ore size fractions. Data can be obtained on mineral abundances, porosity, particle shape and ore textures with a high level of accuracy. A range
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef7398b11cd0d0214cb1c0d48c63c4a8
https://doi.org/10.1016/j.mineng.2006.12.005
https://doi.org/10.1016/j.mineng.2006.12.005