2021121 · To address these knowledge gaps, this study integrates new petrographic, mineralogical and mineral chemical data with recently published bulk geochemical data for a suite of gold- and/or silver-rich ore samples from a relevant case study of a hydrothermal ore deposit, namely the polymetallic epithermal Freiberg district, Germany.
view more20211122 · In broader terms, mineral processing consists of two functions. Firstly, it involves the preparation and liberation, of the valuable minerals from waste minerals and secondly, the separation these values into two or more products, called concentrates. The term separation in this case is synonymous with concentration.
view more20231017 · Reliable monitoring of mineral process systems is key to more efficient plant operation. Multivariate statistical process control based on principal component analysis is well-established in industry but may not be effective when dealing with dynamic nonlinear or transient processes, where process behavior may change rapidly from time …
view more3 · Explore the crucial stages of mineral processing, from crushing to dewatering, and discover how ore transforms into valuable minerals.
view more2024531 · Gravity and magnetic prospecting has become one of the most important geophysical methods for studying the deep structure of the earth and for exploring oil, gas and mineral resources. Gravity and magnetic data processing and inversion are the key steps involved in potential field exploration. Due to the complexity of physical principles …
view more2020116 · The mineral liberation studies indicated that the valuable phase (pyrite-pyrrhotite) could be liberated at relatively coarser particle sizes (200-400 µm).
view more2024119 · Such normalization of the impact factors and similar measures based on database subject categories is a statistically demanding process [ 8] and is out of the scope of this paper. Consequently, this study included the publication, ranking, and citation patterns of the journals selected in the JCR subcategory Mining and Mineral Processing.
view more2022111 · In this study, we develop an AutoML algorithm to develop steady-state minerals processing models suitable for mine scheduling and process optimisation. The algorithm consists of data filtering, temporal resolution alignment, feature selection, neural network architecture search, and development.
view more2018817 · The study is centered on establishing predictability of different ore blends' behavior in a grinding circuit in order to better predict process behavior and reaching target concentrate quality.
view more2021111 · Hyperspectral remote sensing classification identification and quantitative analysis methods were used to study the main mineral resources and rock mass occurrence.
view moreBased on over 30 years' experiences in design, production and service of crushing and s
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