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Bridges structures --- Surface defects --- Corrosion fatigue
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Segregation (Metallurgy) --- Surface chemistry --- Chimie des surfaces --- 620.191 --- Surface defects --- 620.191 Surface defects --- Chemistry, Surface --- Interfaces, Chemistry of --- Surface phenomena --- Surfaces (Chemistry) --- Chemistry, Physical and theoretical --- Capillarity --- Surface energy --- Surface tension --- Surfaces (Physics) --- Alloys --- Metals --- Physical metallurgy
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Ce volume étudie d'abord le rôle des surfaces sur les mécanismes électrochimiques de l'attaque. Une étude approfondie de la physico-chimie des surfaces, s'appuyant sur les méthodes d'analyse les plus avancées, est associée à la discussion des équilibres et à l'étude de la cinétique des réactions entre électrodes et électrolytes. Le lecteur pourra ainsi facilement analyser les différentes formes des métaux et des alliages et comprendre les divers mécanismes, comme par exemple celui de la formation de la rouille. D'autres sujets comme la corrosion à haute température et la corrosion sous contrainte sont traités, et un chapitre, appliquant les connaissances scientifiques les plus récentes, est consacré aux diverses méthodes de protection des matériaux. Dans une dernière partie, l'auteur aborde, sur la base des conceptions mécanistiques les plus actuelles, l'état de l'usure, l'autre phénomène de dégradation superficielle. Une approche unifiée, quantitative et fondamentale de la description des matériaux de l'ingénieur est devenue indispensable et c'est dans cette approche que s'inscrit le Traité des Matériaux. Celui-ci vise à rassembler en une vingtaine de volumes les connaissances de cette science multidisciplinaire qui fait appel à la chimie et à la physique du côté des sciences de base, à la mécanique, à l'électricité et au génie civil du côté des applications et des procédés de fabrication. Ce Traité des Matériaux est principalement l'oeuvre d'enseignants de l'Ecole polytechnique fédérale de Lausanne (Suisse), de l'Université catholique de Louvain (Belgique), de l'Université de Nancy I et de l'Institut national polytechnique de Lorraine (France). [4ème de couv.]
Metaux --- 620.191 --- Surface defects --- 620.191 Surface defects --- Corrosion --- Surfaces --- Surface chemistry --- Corrosion and anti-corrosives --- Metals --- Chimie des surfaces --- Métaux --- Surface preparation. --- Materials science. --- Metals. --- Corrosion and anti-corrosives. --- Surface chemistry. --- Traitements de surface --- Science des matériaux --- Métaux --- Surfaces. --- Metaux - Surfaces --- Science des matériaux
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geochemie --- archaeology --- Geochemistry --- oppervlaktegesteldheid --- radioactief afval --- geochemistry --- archeologie --- kernenergie --- Nuclear physics --- Environmental protection. Environmental technology --- Nuclear energy --- 621.039.7 --- 504.06 <493> --- 550.4 --- 620.191 --- #Hist.Geol. --- geologie --- nucleair --- oppervlakte --- oppervlaktegeologie --- oppervlakteverwering --- 55 --- analogieën --- berging --- Geologie --- duurzaamheid --- natuurlijke analogie --- oppervlakteberging --- verwering --- Radioactive waste management --- Milieubescherming. Bescherming van de kwaliteit van het milieu--België --- Surface defects --- (zie ook: verbrossing) --- Bodemkunde --- Radioactieve afvalstoffen --- Bodemkunde. --- Radioactieve afvalstoffen. --- 620.191 Surface defects --- 550.4 Geochemistry --- 621.039.7 Radioactive waste management --- #Hist.Geol --- CLAYS --- Radioactive wastes. --- DISPOSAL --- Nuclear wastes --- Radwastes --- Wastes, Nuclear --- Wastes, Radioactive --- Hazardous wastes --- Nuclear engineering --- Radioactive substances --- Report
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Although the seminal work of Fujishima et al. dates back to 1971, TiO2 still remains the most diffused and studied semiconductor, employed in photo-oxidation processes for cleantech (i.e., polluted water and air treatment), in solar fuel production (mainly hydrogen production by water photo splitting), and in Carbon Capture and Utilization (CCU) processes by CO2 photoreduction. The eleven articles, among them three reviews, in this book cover recent results and research trends of various aspects of titanium dioxide photocatalysis, with the chief aim of improving the final efficiency of TiO2-based materials. Strategies include doping, metal co-catalyst deposition, and the realization of composites with plasmonic materials, other semiconductors, and graphene. Photocatalysts with high efficiency and selectivity can be also obtained by controlling the precise crystal shape (and homogeneous size) and the organization in superstructures from ultrathin films to hierarchical nanostructures. Finally, the theoretical modeling of TiO2 nanoparticles is discussed and highlighted. The range of topics addressed in this book will stimulate the reader’s interest as well as provide a valuable source of information for researchers in academia and industry.
UV-visible --- n/a --- oxidative reaction systems --- photodegradation --- nanospheres --- heterojunction --- Ag/AgCl@TiO2 fibers --- polymorphism --- XRD --- copper-modified titania --- ultrasonic vibration --- brookite --- TiO2 modification --- simulated Extended X-ray Adsorption Fine-Structure (EXAFS) --- nanorod spheres --- trapped electrons --- flame-spray pyrolysis --- titania/water interface --- microwave irradiation --- plasmonic photocatalyst --- graphene-TiO2 --- photocatalytic hydrogen production --- microstreaming --- B3LYP --- HRTEM --- hardness --- printing and dyeing wastewater --- SCC-DFTB --- TiO2 --- photoelectrochemistry --- titanium --- bulk defects --- methanol photo-steam reforming --- spray coating --- sol-gel --- FTIR --- S-doping --- photocatalysis --- sulfidation --- lattice defects --- polymorph --- anodization --- pine-cone TiO2 nanoclusters --- nanorod arrays --- formation mechanism --- Cu and Pt nanoparticles --- excitons --- TiO2 nanotubes --- adhesion --- trapping --- flexible substrates --- optical absorption --- large-sized films --- surface defects --- titanium dioxide --- accumulated electrons
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The present book contains all the articles accepted and published in the Special Issue “Advances in Artificial Intelligence: Models, Optimization, and Machine Learning” of the MDPI Mathematics journal, which covers a wide range of topics connected to the theory and applications of artificial intelligence and its subfields. These topics include, among others, deep learning and classic machine learning algorithms, neural modelling, architectures and learning algorithms, biologically inspired optimization algorithms, algorithms for autonomous driving, probabilistic models and Bayesian reasoning, intelligent agents and multiagent systems. We hope that the scientific results presented in this book will serve as valuable sources of documentation and inspiration for anyone willing to pursue research in artificial intelligence, machine learning and their widespread applications.
Research & information: general --- Mathematics & science --- large margin nearest neighbor regression --- distance metrics --- prototypes --- evolutionary algorithm --- approximate differential optimization --- multiple point hill climbing --- adaptive sampling --- free radical polymerization --- autonomous driving --- object tracking --- trajectory prediction --- deep neural networks --- stochastic methods --- applied machine learning --- classification and regression --- data mining --- ensemble model --- engineering informatics --- gender-based violence in Mexico --- twitter messages --- class imbalance --- k-nearest neighbor --- instance-based learning --- graph neural network --- deep learning --- hyperparameters --- machine learning --- optimization --- inference --- metaheuristics --- animal-inspired --- exploration --- exploitation --- hot rolled strip steel --- surface defects --- defect classification --- knockout tournament --- dynamic programming algorithm --- computational complexity --- combinatorics --- intelligent transport systems --- traffic control --- spatial-temporal variable speed limit --- multi-agent systems --- reinforcement learning --- distributed W-learning --- urban motorways --- multi-agent framework --- .NET framework --- simulations --- agent-based systems --- agent algorithms --- software design --- multisensory fingerprint --- interoperability --- DeepFKTNet --- classification --- generative adversarial networks --- image classification --- transfer learning --- plastic bottle --- n/a
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The advent of additive manufacturing (AM) processes applied to the fabrication of structural components creates the need for design methodologies supporting structural optimization approaches that take into account the specific characteristics of the process. While AM processes enable unprecedented geometrical design freedom, which can result in significant reductions of component weight, on the other hand they have implications in the fatigue and fracture strength due to residual stresses and microstructural features. This is linked to stress concentration effects and anisotropy that still warrant further research. This Special Issue of Applied Sciences brings together papers investigating the features of AM processes relevant to the mechanical behavior of AM structural components, particularly, but not exclusively, from the viewpoints of fatigue and fracture behavior. Although the focus of the issue is on AM problems related to fatigue and fracture, articles dealing with other manufacturing processes with related problems are also be included.
History of engineering & technology --- residual stress/strain --- electron beam melting --- diffraction --- Ti-6Al-4V --- electron backscattered diffraction --- X-ray diffraction --- Selective Laser Melting --- Ti6Al4V --- residual stress --- deformation --- preheating --- relative density --- powder degradation --- wire and arc additive manufacturing --- additive manufacturing --- microstructure --- mechanical properties --- applications --- Fe-based amorphous coating --- laser cladding --- property --- titanium --- microstructural modeling --- metal deposition --- finite element method --- dislocation density --- vacancy concentration --- directed energy deposition --- defects --- hardness --- alloy 718 --- hot isostatic pressing --- post-treatment --- Alloy 718 --- surface defects --- encapsulation --- coating --- fatigue crack growth (FCG) --- electron beam melting (EBM) --- hydrogen embrittlement (HE) --- wire arc additive manufacturing --- precipitation hardening --- Al–Zn–Mg–Cu alloys --- microstructure characterisation --- titanium alloy --- Ti55511 --- synchrotron --- XRD --- microscopy --- SLM --- EBM --- EBSD --- Rietveld analysis --- WAAM --- GMAW --- energy input per unit length --- processing strategy --- contact tip to work piece distance --- electrical stickout
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The advent of additive manufacturing (AM) processes applied to the fabrication of structural components creates the need for design methodologies supporting structural optimization approaches that take into account the specific characteristics of the process. While AM processes enable unprecedented geometrical design freedom, which can result in significant reductions of component weight, on the other hand they have implications in the fatigue and fracture strength due to residual stresses and microstructural features. This is linked to stress concentration effects and anisotropy that still warrant further research. This Special Issue of Applied Sciences brings together papers investigating the features of AM processes relevant to the mechanical behavior of AM structural components, particularly, but not exclusively, from the viewpoints of fatigue and fracture behavior. Although the focus of the issue is on AM problems related to fatigue and fracture, articles dealing with other manufacturing processes with related problems are also be included.
residual stress/strain --- electron beam melting --- diffraction --- Ti-6Al-4V --- electron backscattered diffraction --- X-ray diffraction --- Selective Laser Melting --- Ti6Al4V --- residual stress --- deformation --- preheating --- relative density --- powder degradation --- wire and arc additive manufacturing --- additive manufacturing --- microstructure --- mechanical properties --- applications --- Fe-based amorphous coating --- laser cladding --- property --- titanium --- microstructural modeling --- metal deposition --- finite element method --- dislocation density --- vacancy concentration --- directed energy deposition --- defects --- hardness --- alloy 718 --- hot isostatic pressing --- post-treatment --- Alloy 718 --- surface defects --- encapsulation --- coating --- fatigue crack growth (FCG) --- electron beam melting (EBM) --- hydrogen embrittlement (HE) --- wire arc additive manufacturing --- precipitation hardening --- Al–Zn–Mg–Cu alloys --- microstructure characterisation --- titanium alloy --- Ti55511 --- synchrotron --- XRD --- microscopy --- SLM --- EBM --- EBSD --- Rietveld analysis --- WAAM --- GMAW --- energy input per unit length --- processing strategy --- contact tip to work piece distance --- electrical stickout
Choose an application
The present book contains all the articles accepted and published in the Special Issue “Advances in Artificial Intelligence: Models, Optimization, and Machine Learning” of the MDPI Mathematics journal, which covers a wide range of topics connected to the theory and applications of artificial intelligence and its subfields. These topics include, among others, deep learning and classic machine learning algorithms, neural modelling, architectures and learning algorithms, biologically inspired optimization algorithms, algorithms for autonomous driving, probabilistic models and Bayesian reasoning, intelligent agents and multiagent systems. We hope that the scientific results presented in this book will serve as valuable sources of documentation and inspiration for anyone willing to pursue research in artificial intelligence, machine learning and their widespread applications.
large margin nearest neighbor regression --- distance metrics --- prototypes --- evolutionary algorithm --- approximate differential optimization --- multiple point hill climbing --- adaptive sampling --- free radical polymerization --- autonomous driving --- object tracking --- trajectory prediction --- deep neural networks --- stochastic methods --- applied machine learning --- classification and regression --- data mining --- ensemble model --- engineering informatics --- gender-based violence in Mexico --- twitter messages --- class imbalance --- k-nearest neighbor --- instance-based learning --- graph neural network --- deep learning --- hyperparameters --- machine learning --- optimization --- inference --- metaheuristics --- animal-inspired --- exploration --- exploitation --- hot rolled strip steel --- surface defects --- defect classification --- knockout tournament --- dynamic programming algorithm --- computational complexity --- combinatorics --- intelligent transport systems --- traffic control --- spatial-temporal variable speed limit --- multi-agent systems --- reinforcement learning --- distributed W-learning --- urban motorways --- multi-agent framework --- .NET framework --- simulations --- agent-based systems --- agent algorithms --- software design --- multisensory fingerprint --- interoperability --- DeepFKTNet --- classification --- generative adversarial networks --- image classification --- transfer learning --- plastic bottle --- n/a
Choose an application
The advent of additive manufacturing (AM) processes applied to the fabrication of structural components creates the need for design methodologies supporting structural optimization approaches that take into account the specific characteristics of the process. While AM processes enable unprecedented geometrical design freedom, which can result in significant reductions of component weight, on the other hand they have implications in the fatigue and fracture strength due to residual stresses and microstructural features. This is linked to stress concentration effects and anisotropy that still warrant further research. This Special Issue of Applied Sciences brings together papers investigating the features of AM processes relevant to the mechanical behavior of AM structural components, particularly, but not exclusively, from the viewpoints of fatigue and fracture behavior. Although the focus of the issue is on AM problems related to fatigue and fracture, articles dealing with other manufacturing processes with related problems are also be included.
History of engineering & technology --- residual stress/strain --- electron beam melting --- diffraction --- Ti-6Al-4V --- electron backscattered diffraction --- X-ray diffraction --- Selective Laser Melting --- Ti6Al4V --- residual stress --- deformation --- preheating --- relative density --- powder degradation --- wire and arc additive manufacturing --- additive manufacturing --- microstructure --- mechanical properties --- applications --- Fe-based amorphous coating --- laser cladding --- property --- titanium --- microstructural modeling --- metal deposition --- finite element method --- dislocation density --- vacancy concentration --- directed energy deposition --- defects --- hardness --- alloy 718 --- hot isostatic pressing --- post-treatment --- Alloy 718 --- surface defects --- encapsulation --- coating --- fatigue crack growth (FCG) --- electron beam melting (EBM) --- hydrogen embrittlement (HE) --- wire arc additive manufacturing --- precipitation hardening --- Al–Zn–Mg–Cu alloys --- microstructure characterisation --- titanium alloy --- Ti55511 --- synchrotron --- XRD --- microscopy --- SLM --- EBM --- EBSD --- Rietveld analysis --- WAAM --- GMAW --- energy input per unit length --- processing strategy --- contact tip to work piece distance --- electrical stickout
Listing 1 - 10 of 20 | << page >> |
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