Challenges in drilling nickel-based superalloys, such as Inconel 718 (IN718), are multifaceted. High requirement of hole surface quality in drilling such alloy must deal with extreme material properties and complex pr...
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The paper presents the influence of the sintering temperature parameter on the physical properties of CoCrMoNbTi high entropy alloy intended for biomedical applications. CoCrMoNbTi HEA metallic powder preparation meth...
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With gradually diminishing Fe grade in tandem with the ever-increasing demand for high-grade iron ores,iron ore industries are now focusing on the beneficiation of low-grade iron ore fines,mainly considered ***,the sc...
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With gradually diminishing Fe grade in tandem with the ever-increasing demand for high-grade iron ores,iron ore industries are now focusing on the beneficiation of low-grade iron ore fines,mainly considered ***,the scarcity of water at many of the mines’sites and the new water conservation policies of the governments have necessitatedresearch on suitable dry beneficiation *** this context,an effort has been made to evaluate the efficacy of a dry classification unit,such as the VSK separator,in upgrading the iron values of two low-grade Indian iron ore fines,named Sample 1 and Sample *** mineralogical studies,involving scanning electron microscopy and X-ray diffraction,suggest that Sample 1 is a low-grade blue dust sample(51.2wt%Fe)containing hematite and quartz as the major minerals,while Sample 2(53.3wt%Fe)shows the presence of goethite in addition to hematite and *** experiments,carried out using Box-Benkhen statistical design,indicate that blower speed,followed by feedrate,is the most influencing operating parameter in obtaining a good product in the VSK *** optimum levels of the operating factors,a fines product with~55wt%Fe at a yield of~40%can be obtained from Sample 1,while Sample 2 can be upgraded to~56wt%Fe at a yield of~85%.The results suggest that the VSK separator can be employed as an efficient intermediate unit operation in a processing circuit to upgrade the iron contents of iron ore fines.
Background: The novel coronavirus pandemic has not only affected people's health. The pandemic has also affected their social life and work. For all the reasons mentioned, international trade has suffered and is s...
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Coal rock fractures play a vital role as key channels for gas migration and storage in the exploration anddevelopment of coalbed methane. The characteristics of these fractures, such as porosity distribution, specifi...
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Coal rock fractures play a vital role as key channels for gas migration and storage in the exploration anddevelopment of coalbed methane. The characteristics of these fractures, such as porosity distribution, specific surface area, and connectivity, directly impact the adsorption, diffusion, and permeability behaviors of coal reservoirs. Therefore, a detailed analysis of coal rock fracture characteristics is vital in assessing the extractability of coalbed methane andduring its exploration anddevelopment process. Currently, techniques like imaging logging, seismic detection, and micro-CT are employed for characterizing and studying fractures at various scales. Among these, high-resolution non-destructive CT scanning technology, by constructing three-dimensional data models of core samples, enables a quantitative analysis of fracture distribution features and size parameters. Traditional digital image processing methods, such as threshold segmentation and binary segmentation, though advantageous in computational speed, have limitations in the accuracy of fracture identification. With the advancement of artificial intelligence technology, deep learning-based image processing techniques have increasingly become significant tools for fracture detection due to their powerful feature extraction capabilities. This study conducted micrometer-level CT scanning experiments on coal rock samples, using CT image processing technology to construct a digitalized coal rock core model. deep learning methods were applied for precise fracture identification, establishing an appropriate deep learning architecture and optimized parameters for coal rock fracture recognition. Furthermore, this paper provides a detailed quantitative characterization of the precisely identified fractures, offering robust technical support for the exploration anddevelopment of coalbed methane. The high-resolution nondestructive CT scanning technology and three-dimensional fracture network reconstruction
In this article,a series of high refractive indices(1.50-1.53)thiol phenyl polysiloxane(TPS)were synthesized via hydrolytic sol-gel *** Fourier transform infrared spectra(FT-Ir)and nuclear magnetic resonance spectra(N...
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In this article,a series of high refractive indices(1.50-1.53)thiol phenyl polysiloxane(TPS)were synthesized via hydrolytic sol-gel *** Fourier transform infrared spectra(FT-Ir)and nuclear magnetic resonance spectra(NMr)results showed that TPS conformed to the predicted *** terpene linalool was exploited as photocrosslinker to fabricate UV-curing linalool-polysiloxane hybrid films(LPH)with TPS via photoinitiated thiol-ene *** rapidly cured under UV irradiation at the intensity of 80 mW/cm^(2) in 30 s,exhibiting good UV-curing *** optical transmittance of LPH in the wavelength of 300-800 nm was over 90%,exhibiting good optical *** water contact angle and water vapor permeability results showed that the introduction of phenyl groups enhance the hydrophobicity and water vapor barrier properties of *** results indicated the potential of LPHs in the applications of optical functional coatings.
As an efficient and intelligent means of knowledge organization, knowledge graph has become the core force driving the development of artificial intelligence. Hydraulic fracturing is an important measure for increasin...
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The growth of passenger flow in Qingdao Metro has led to the rise of customer service demand. The existing customer service system is constructed based on NLP and knowledge graph, which has the problems of inaccurate ...
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In response to the complex seepage mechanism of unconventional oil and gas reservoirs, large-scale volume fracturing of multi-segment and multi-cluster horizontal wells, anddifferences in oil and gas pressure and sat...
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The manipulation of magnetization and spin polarization using electrical currents represents a fundamental breakthrough in *** has formed the foundation fordata storage and next-generation computing ***-transfer torq...
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The manipulation of magnetization and spin polarization using electrical currents represents a fundamental breakthrough in *** has formed the foundation fordata storage and next-generation computing ***-transfer torque(STT)and spin-orbit torque(SOT)have emerged as prominent mechanisms in current-driven magnetization ***,these approaches typically require critical current densities in the range of 10^(6) to 10^(9) A·cm^(-2),resulting in significant heat generation during data writing ***,we report the discovery of an ultralow-vertical-current magnetization switching effect in a van der Waals ferromagnetic/ferroelectric heterostructure based on the modulation of the critical magnetic field(H_(C))using small vertical currents,with a critical current density as low as 1.81A·cm^(-2) and an average effective field(H_(eff)/J_(C))as high as 150.3mT·A^(-1)·cm^(2).This unique magnetization switching effect with ultralow-critical-vertical-current densities typically six to nine orders of magnitude lower than those of the STT and SOT provides a new transformative and viable pathway fordeveloping next-generation spintronic and quantum technologies.
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