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Discover how a strategic approach to re-imagine surgery is connecting human insight and surgical experience with digital solutions and a health innovations portfolio to elevate care throughout the care continuum.
New high-performance, production-capable photopolymer materials enable long-term mechanical performance and environmental stability for advanced applications and high productivity batch manufacturing in industries such as consumer electronics, automotive and motorsports, healthcare, industrial goods, and aerospace and defense.
The pace of innovation at Sauber is relentless. In order to maximize its ability to drive rapid development on its car, SauberEngineeringhasinvested in an additive manufacturing machine park that is among the largest of its kind in Europe.
Full-face tunnel boring machine (TBM) tunnelling has unparalleled advantages over conventional drill-and-blast (D&B) techniques in terms of higher advance rates and lower risk levels in favourable ground conditions. However, there are only a few successful TBM applications in mines. The aim of this paper is to discuss the technical challenges of using TBMs in mining since the pioneering work in the 1960s. It starts with a description on the genesis of hard rock mines and coal mines and the differences of TBM tunnelling in mining and civil engineering projects. The historical applications of TBMs in mines are critically reviewed and the reasons for the unsuccessful applications are summarised and analysed from a geological point of view. Challenges, such as cutter wear, jamming and steering difficulties in difficult grounds with water inrush, fractured and faulted zones, high in-situ stresses, and gas, are explored in depth through case histories. Moreover, the corresponding mitigations measures to cope with complex grounds in mines are provided. A prospect of TBM applications in mining is presented at the end.
An evolution of intelligent detection methods applied in the oil industry, using geological and geophysical data will be given. The most challenging problems of exploration and production may require application of advanced technologies. Our focus in this paper will be to highlight applications of soft computing and artificial intelligence. Specifically, the strength and weakness of human intelligence versus machine intelligence and the need for combining human and machine intelligence is visited. The role soft computing methods (neural networks, fuzzy logic and evolutionary computing) that can play in establishing hybrid intelligence for addressing E&P problems is emphasized.
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