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A Practical Guide to Ore Microscopy—Volume 2: Ore Textures and Automated Ore Analysis

Autor Ricardo Castroviejo
en Limba Engleză Hardback – 14 iul 2023
This book presents recent developments in ore microscopy to support the work of engineers and scientists actively engaged in the field of mineral raw materials (processing plant engineers in mines, process mineralogists and chemists, exploration geologists, etc.) or in ore deposit research. Textural analysis must be rigorous, and simple to be practical. With this aim, the author proposes a specific and user-friendly systematic for textural analysis. A high-performance tool to acquire, quantify, and process the data applied for automated ore characterization is key to predict ore behavior, a fundamental aim of geometallurgy. The recently developed AMCO System (Automated Microscopic Characterization of Ores) provides the tool, first prototype available using computer vision coupled with reflected light microscopy. This innovation is introduced in the text and discussed through case studies of actual mining problems.

This second volume of the book "A Practical Guide to Ore Microscopy" includes references, indexes, and other relevant information, plus Annexes 1 to 5. The latter include ore and gangue mineral indexes and mineral abbreviations (Annex 1), a brief compendium of common mineral associations in the main ore deposit types (Annex 2), an introduction to the procedures and techniques used to prepare polished sections (Annex 3), and the various tables used to identify common ores by direct microscopic observation (Annexes 4 and 5).
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Specificații

ISBN-13: 9783031189531
ISBN-10: 3031189531
Pagini: 308
Ilustrații: XI, 308 p. 232 illus., 230 illus. in color.
Dimensiuni: 210 x 279 x 21 mm
Greutate: 1.15 kg
Ediția:2023
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Cuprins

Intergrowths and Textures.- Automated Analysis of Ores and Plant Concentrates.

Notă biografică

Ricardo Castroviejo, Professor Emeritus of Mineralogy and Ore Geology at the Superior School of Mines, Technical University of Madrid, has over 40 years of research and teaching experience in Mineral Raw Materials. He has been a postgraduate fellow, visitor or invited professor in Heidelberg, Nancy, Sao Paulo, Reno (Nevada), Lima, Bochum, etc. After completing his PhD (1974), he worked on industrial projects for more than 10 years before joining the university in 1987. He has over 150 publications on the Mineralogy and Genesis of Ore Deposits, Mining Exploration and Geometallurgy, with an emphasis on Ore Microscopy, to his credit.

Textul de pe ultima copertă

This book presents recent developments in ore microscopy to support the work of engineers and scientists actively engaged in the field of mineral raw materials (processing plant engineers in mines, process mineralogists and chemists, exploration geologists, etc.) or in ore deposit research. Textural analysis must be rigorous, and simple to be practical. With this aim, the author proposes a specific and user-friendly systematic for textural analysis. A high-performance tool to acquire, quantify, and process the data applied for automated ore characterization is key to predict ore behavior, a fundamental aim of geometallurgy. The recently developed AMCO System (Automated Microscopic Characterization of Ores) provides the tool, first prototype available using computer vision coupled with reflected light microscopy. This innovation is introduced in the text and discussed through case studies of actual mining problems.

This second volume of the book "A Practical Guide to Ore Microscopy" includes references, indexes, and other relevant information, plus Annexes 1 to 5. The latter include ore and gangue mineral indexes and mineral abbreviations (Annex 1), a brief compendium of common mineral associations in the main ore deposit types (Annex 2), an introduction to the procedures and techniques used to prepare polished sections (Annex 3), and the various tables used to identify common ores by direct microscopic observation (Annexes 4 and 5).

Caracteristici

Offers a clearly structured, systematic scheme for textural characterization and interpretation Showcases automation with important innovations, including multispectral reflectance values in the VNIR range Allows professionals to update their knowledge of reflected light microscopy