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Mining of the future. A mining automation concept vehicle from gives a unique and real hands-on preview of how the latest technologies can make the mining
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Chat OnlineA machine-learning-enhanced hierarchical multiscale method
In the community of computational materials science one of the challenges in hierarchical multiscale modeling is information-passing from one scale to another especially from the molecular model to the continuum model. A machine-learning-enhanced approach proposed in this paper provides an alternative solution. In the developed hierarchical multiscale method molecular dynamics
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Chat OnlineSelection of practical bench height in open pit mining
As a definition in open pit mining bench height is the vertical distance between crest and toe of the bench (Fourie and Dohm 1992). Determination of optimum bench height is a major concern in most open pit mines. It depends on various factors such as the cutting height and the bucket capacity of the loading machines
Chat OnlineBack-propagation neural network and support vector
Machine Learning technologies have the potential to deliver new nonlinear mineral prospectivity mapping (MPM) models. In this study Back Propagation (BP) neural network Support Vector Machine (SVM) methods were applied to MPM in the Hatu region of Xinjiang northwestern China. First a conceptual model of mineral prospectivity for Au deposits was constructed by analysis of
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Chat OnlineFirefighting in case of Li-Ion battery fire in underground
However Li-ion batteries can reach a self-heating stage that can lead to thermal runaway. All needed components of fire are present in the li-ion cell fuel heat and oxygen. Lithium-ion battery fire suppression is generally recommended to be accomplished mainly with lots of pure water or water-based extinguishing foam.
Chat OnlineBack-propagation neural network and support vector
Machine Learning technologies have the potential to deliver new nonlinear mineral prospectivity mapping (MPM) models. In this study Back Propagation (BP) neural network Support Vector Machine (SVM) methods were applied to MPM in the Hatu region of Xinjiang northwestern China. First a conceptual model of mineral prospectivity for Au deposits was constructed by analysis of
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Chat OnlineGreen Energy Reality Check It s Not as Clean as You Think
Embodied energy use starts with the fuel used by giant mining machines such as the 0.3 mpg 797F which can carry 400 tons of ore. There are also energy costs for electricity at the mine site (in remote areas often diesel-powered) to run machines that crush rocks as well as the energy costs in producing and using chemicals for
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Chat OnlineA survey on game theoretical methods in Human–Machine
Limited to finite computational resources and capabilities of IoT devices some NE points cannot be reached. The authors used a CH-based iterative process to compute an optimal strategy for every player based on its beliefs. Simulation results showed that this solution can save more energy than traditional NE-based solutions.
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Royal DSM is a purpose-led global science-based company in Nutrition Health and Sustainable Living with solutions for human nutrition animal nutrition personal care and aroma medical devices green products and applications and new mobility and connectivity.
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Chat OnlineLiquid Purification Technologieswater treatment
Our Liquid Purification Technologies business unit is one of the world s leading manufacturers of ion exchange resins. Its products are used in many industriese.g. in energy generation the semiconductor and photovoltaic industry municipal water treatment biotechnology and pharmaceuticals the chemical and petrochemical industries mining and metallurgy as well as in the production
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Chat OnlineRole of fracture toughness in impact-abrasion wear
The phenomenon itself is of considerable importance in the wear-resistant steels used in earth-moving equipment such as excavators and loaders and machines used in mining operation. Abrasion per se correlates strongly with hardness although it is well-established that hardness alone does not always explain the wear behaviour 3 4 5
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Chat OnlineA machine-learning-enhanced hierarchical multiscale method
In the community of computational materials science one of the challenges in hierarchical multiscale modeling is information-passing from one scale to another especially from the molecular model to the continuum model. A machine-learning-enhanced approach proposed in this paper provides an alternative solution. In the developed hierarchical multiscale method molecular dynamics
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Chat OnlineA survey on game theoretical methods in Human–Machine
Limited to finite computational resources and capabilities of IoT devices some NE points cannot be reached. The authors used a CH-based iterative process to compute an optimal strategy for every player based on its beliefs. Simulation results showed that this solution can save more energy than traditional NE-based solutions.
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In addition the machines demonstrated up to 5.6 less diesel fuel burn over the haul cycle. The 794 AC Tier 4 Final trucks have accumulated more than 10 000 hours of operating time and are being used in multiple North American mines.
Chat OnlineA machine-learning-enhanced hierarchical multiscale method
In the community of computational materials science one of the challenges in hierarchical multiscale modeling is information-passing from one scale to another especially from the molecular model to the continuum model. A machine-learning-enhanced approach proposed in this paper provides an alternative solution. In the developed hierarchical multiscale method molecular dynamics
Chat OnlineA survey on game theoretical methods in Human–Machine
Limited to finite computational resources and capabilities of IoT devices some NE points cannot be reached. The authors used a CH-based iterative process to compute an optimal strategy for every player based on its beliefs. Simulation results showed that this solution can save more energy than traditional NE-based solutions.
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Chat OnlineGIS-based mineral prospectivity mapping using machine
Several widely used data-driven modelling methods such as weights of evidence (Carranza 2004 Yuan et al. 2014 Kreuzer et al. 2015 Sun et al. 2017 Qin and Liu 2018) and logistic regression (Porwal et al. 2010 Li et al. 2015) have gained much popularity in the field of MPM because of their algorithmic simplicity and straightforward
Chat OnlineIntelligent Mining Technology for an Underground Metal
An underground mining truck is the main transport vehicle for underground trackless mining and has the advantages of mobility flexibility high efficiency and economy. Mining trucks have been widely used to transport ore in underground mines.
Chat OnlineBEV options for miners growCanadian Mining
BEV options for miners grow. What suppliers of battery powered electric vehicles are working on and their plans for 2020. s Artisan Z50 50-tonne truck. Credit . At this point it s fair to say that it s a given that battery electric vehicles make sense for underground mines. Mines are getting deeper more expensive and
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Chat OnlineXerotech and Agder to create electric mining fleet
Xerotech and Agder to create electric mining fleet. Irish lithium-ion modular battery systems Xerotech will partner with Norwegian mining industry supplier Agder Gruppen on the electrification of over 200 units of construction and mining machinery over the next five years. Companies plan to use Xerotech s Hibernium modular battery platform.
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Royal DSM is a purpose-led global science-based company in Nutrition Health and Sustainable Living with solutions for human nutrition animal nutrition personal care and aroma medical devices green products and applications and new mobility and connectivity.
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