Buoyancy impact on secondary flow and heat transfer in a turbulent liquid metal flow through a vertical square duct

Niemann, Martin; Navarro, Ricardo Antonio Blazquez; Saini, Vishal; Fröhlich, Jochen

doi:10.1016/j.ijheatmasstransfer.2018.04.074

Cited by 8 publications

(1 citation statement)

References 31 publications

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“…Schaubs et al 2006;Potma et al 2008;Sheldon 2009;Ord and Oliver 2010). The formation of deposits includes a combination of a source region, tectonic events, fluid flow, heat transfer, chemical reactions and a structural trap, and each of these factors might vary from site to site (e.g., Hobbs et al 2000;Du et al 2018;Niemann et al 2018). Norton and Hulen (2001) simulated the physicochemical and kinetic behavior of magmatic hydrothermal systems under supercritical conditions and concluded that the evolution of magmatic hydrothermal systems is complex and chaotic, with alteration during these complicated evolutionary processes.…”

Section: Geological Model Of Metallogenic Processmentioning

confidence: 99%

Three-Dimensional Mineral Potential Mapping for Reducing Multiplicity and Uncertainty: Kaerqueka Polymetallic Deposit, QingHai Province, China

2019

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This study focuses on the selection of a method combining simulations of mineralizing processes with three-dimensional (3D) mapping to quantitatively predict locations of concealed mineralization and to reduce uncertainty and multiplicity. The simulation of oreforming processes for concealed mineralization requires the assessment of a regionÕs structural geology, ages of lithological units, degree of metamorphism, and role of magmatism in the genesis of mineralization. The evolution of various factors affecting the development of geological processes in space and time is discussed, including the assessment of models combining regional deformation-magmatic activity-mineralized hydrothermal fluid based on empirical knowledge. Given that metallogeny is a study of the genesis and regional distribution of mineral deposits and emphasizes their spatial and temporal relationships, this paper uses empirical knowledge to predict the locations of concealed mineral deposits. Furthermore, the analysis of 3D geological modeling of concealed orebodies is a process that contributes to understanding the metallogenesis of mineral deposits. In this study of the Kaerqueka skarn and porphyritic deposits, geological, geographic, remote sensing and geochemical data collected from this region are processed using computer modeling techniques available in the Surpac software to establish a digital representation of the mineral field. The ''block mapping modeling'' theory, geostatistical methods, simulations of oreforming processes, and 3D mapping methods are then combined to predict the locations of the most promising areas for concealed mineral deposits around the Kaerqueka deposit. This research introduces a new method for predicting and evaluating the locations of concealed orebodies by reducing multiplicity and uncertainty.

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