Sökning: "Geometallurgical approach"
Visar resultat 1 - 5 av 11 avhandlingar innehållade orden Geometallurgical approach.
1. Bringing predictability into a geometallurgical program : An iron ore case study
Sammanfattning : The risks of starting, operating and closing mining projects have become higher than ever. In order to stay ahead of the competition, mining companies have to manage various risks: technical, environmental, legal, regulatory, political, cyber, financial and social. Some of these can be mitigated with the help of geometallurgy. LÄS MER
2. Geometallurgical study of historical tailings from the Yxsjöberg tungsten mine in Sweden : Characterization and reprocessing options
Sammanfattning : Tungsten (W) is listed among the European Union (EU) critical raw materials (CRMs) for its supply risk and economic importance. Primarily, tungsten is produced from scheelite and wolframite mineral ores with 0.08-1.5% tungsten trioxide (WO3) grade. LÄS MER
3. Particle generation for geometallurgical process modeling
Sammanfattning : A geometallurgical model is the combination of a spatial model representing an ore deposit and a process model representing the comminution and concentration steps in beneficiation. The process model itself usually consists of several unit models. LÄS MER
4. Development of a geometallurgical framework for iron ores - A mineralogical approach to particle-based modeling
Sammanfattning : The demands for efficient utilization of ore bodies and proper risk management in the mining industry have resulted in a new cross-disciplinary subject called geometallurgy. Geometallurgy connects geological, mineral processing and subsequent downstream processing information together to provide a comprehensive model to be used in production planning and management. LÄS MER
5. Geometallurgical programs – critical evaluation of applied methods and techniques
Sammanfattning : Geometallurgy is a team-based multidisciplinary approach aimed at integrating geological, mineralogical and metallurgical information and yielding a spatial quantitative predictive model for production management. Production management includes forecast, control and optimization of the product quality (concentrates and tailings) and metallurgical performance (e. LÄS MER