Listar Artículos de revista DCIE - ZIES Aldizkari artikuluak por título
Mostrando ítems 164-183 de 293
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Machine learning-based analysis engine to identify critical variables in multi-stage processes: application to the installation of blind fasteners
Quality control in manufacturing is a recurrent topic as the ultimate goals are to produce high quality products with less cost. Mostly, the problems related to manufacturing processes are addressed focusing on the process ... -
Magnetic behavior in commercial iron-silicon alloys controlled by the dislocation dynamics at temperatures below 420 K
A decrease of the temperature dependent coercive forces up to around 370 K is discovered in iron silicon alloys, both in quenched samples and in samples which were previously thermally treated to achieve the highest magnetic ... -
Magnetic binary encoding system based on 3D printing and GMI detection prototype
In this work, the feasibility of a magnetic binary encoding system using 3D printing technology is analyzed. The study has a double interest, that is, the possibility of printing a 3D piece that contains the codified ... -
Magnetic carbon Fe3O4 nanocomposites synthesized via magnetic induction heating
Magnetic Induction Heating (MIH) of magnetite nanoparticles is employed as a novel synthesis procedure of carbon based magnetic nanocomposites. Magnetic nanoparticles (Fe3O4) and fructose (1:2 weight ratio) were mechanically ... -
Magnetic Fe/Fe3C@C nanoadsorbents for efficient Cr (VI) removal
Magnetic carbon nanocomposites (α-Fe/Fe3C@C) synthesized employing fructose and Fe3O4 magnetite nanoparticles as the carbon and iron precursors, respectively, are analyzed and applied for the removal of Cr (VI). Initial ... -
Magnetically activated 3D printable polylactic acid/polycaprolactone/magnetite composites for magnetic induction heating generation
Additive manufacturing technology has attracted the attention of industrial and technological sectors due to the versatility of the design and the easy manufacture of structural and functional elements based on composite ... -
Magnetically recyclable TiO2/MXene/MnFe2O4 photocatalyst for enhanced peroxymonosulphate-assisted photocatalytic degradation of carbamazepine and ibuprofen under simulated solar light
In this study, a novel TiO2/Ti3C2/MnFe2O4 magnetic photocatalyst with dual properties, enabling (i) improved photocatalytic degradation with PMS activation under simulated solar light and (ii) magnetic separation after the ... -
Magnetically tunable damping in composites for 4D printing
Composite materials are being used in the design of new devices to produce more functional, cheap and on-demand products. In particular, 3D printing technology based on composites opens a huge field enabling the freedom ... -
Managing forests for both downstream and downwind water
Forests and trees are key to solving water availability problems in the face of climate change and to achieving the United Nations Sustainable Development Goals. A recent global assessment of forest and water science posed ... -
Mars explorers: a science inquiry-based learning project in preschool
La enseñanza de las ciencias basada en la indagación se ha convertido en una de las metodologías más eficaces para aprender ciencias; sin embargo, las propuestas en educación infantil son escasas. Diferentes factores son ... -
Martensitic transformation controlled by electromagnetic field: from experimental evidence to wireless actuator applications
Mechanical actuators based on shape memory alloys (SMA) are becoming a key component in the development of novel soft robotic applications and surgically implantable devices. Their working principle relies in the temperature ... -
Measurement and analysis of mechanical noise in wind turbines
(Institute of Acoustics, 2016) Artículo / Artikulua -
Mechanical performance of AlCrSiN and AlTiSiN coatings on inconel and steel substrates after thermal treatments
The objective of this study was to explore the mechanical properties of AlCrSiN and AlTiSiN coatings deposited on Inconel and steel substrates after thermal treatments of 500 °C and 800 °C. Nanoindentation was used to ... -
Mesoporous Sn-in-MCM-41 catalysts for the selective sugar conversion to methyl lactate and comparative life cycle assessment with the biochemical process
The use of biomass for the production of energy and higher added value products is a topic of increasing interest in line with growing environmental concerns and circular economy. Mesoporous material Sn-In-MCM-41 was ... -
Metal-Al layered double hydroxides synthesized from aluminum slags as efficient CO2 adsorbents at pre- and post-combustion temperature
Layered double hydroxides (LDH) have been proposed as the materials that offer the best performance in the moderate-temperature range, between 200 and 450 °C, for CO2 adsorption, so the effect of some synthesis parameters ... -
Micrometric non-contact position magnetoimpedance sensor
In this work a sensitive micrometric non-contact position sensor based on the Giant MagnetoImpedance effect (GMI) is analyzed. A nearly zero magnetostrictive CoFeSiBCr wire was employed as sensor nucleus. The sensing ... -
Mineralogical analysis of mortars in the walls of Ávila (Spain) and its surroundings
The present article evaluated the mineralogical composition of 85 mortar samples from some emblematic monuments of Ávila city (Spain), which were collected during the restoration of the monuments. The aim of this article ... -
Model prediction capacity of ephemeral gully evolution in conservation tillage systems
Ephemeral gully (EG) erosion has an important impact on agricultural soil losses and increases field surface hydrology connectivity and transport of pollutants to nearby water bodies. Watershed models including an EG ... -
Modelling forest ecosystems: a crossroad between scales, techniques and applications
When organizing this special issue, we (the guest editors) decided to carry out a quick overview of current trends in forest modelling. To do so, we used Clarivate’s Web of Science to carry out a search in the top ... -
Modification of the Thomas model for predicting unsymmetrical breakthrough curves using an adaptive neural-based fuzzy inference system
The Thomas equation is a popular model that has been widely used to predict breakthrough curves (BTCs) when describing the dynamic adsorption of different pollutants in a fixed-bed column system. However, BTCs commonly ...