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Electroplating. --- Metals --- Crystal growth. --- Galvanoplastie --- Métaux --- Cristaux --- Surfaces. --- Surfaces --- Croissance --- Crystal growth --- Electroplating --- -Metallic elements --- Chemical elements --- Ores --- Metallurgy --- Electrodeposition of metals --- Electrochemistry --- Plating --- Crystals --- Crystallization --- Grain boundaries --- Twinning (Crystallography) --- Finishing --- Growth --- -Surfaces --- Métaux --- Metal surfaces --- Metallic surfaces --- Physical metallurgy --- Surface properties --- Metal deposition --- Metals. --- Electrochemistry. --- Chemistry, Physical and theoretical --- Metallic elements --- Monograph --- Chemical engineering --- Electrochimie --- Génie chimique

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Additive manufacturing is already actively used in various high-tech industries today. At the same time, there is a certain limitation and imperfection of known and widely used conventional materials when they are used in additive manufacturing. In this regard, extensive research and development are aimed at the advancements of new materials by adjusting the chemical compositions of conventional alloys, new equipment with expanded functionality and the ability to work with a wide range of materials that were previously not available for additive manufacturing. This Special Issue covers a wide scope of additive manufacturing processes, comprising investigation, characterization of materials and their properties, development and application of new materials, structures designed for additive manufacturing, as well as processes and techniques that will expand the potential applications of layer-by-layer synthesis.

Technology: general issues --- Chemical engineering --- additive manufacturing --- binder jetting --- silicon carbide --- spray drying --- pyrolysis --- n/a --- direct laser deposition (DLD) --- direct metal deposition --- additive manufacturing (AM) --- corrosion resistant steel --- heat treatment (HT) --- maraging steel --- microstructure --- mechanical characteristics --- selective laser melting --- titanium alloy --- mechanical alloying --- powder bed fusion --- nitinol --- direct laser deposition --- heat transfer --- mass transfer --- hydrodynamics --- simulation of the melt pool --- alloys --- Ti-6Al-4V --- direct energy deposition --- thermal history --- annealing --- phase composition --- tensile properties --- tungsten carbides --- cobalt --- nanopowder --- synthesis --- granulation --- spheroidization --- DC thermal plasma --- lead-free piezoceramic --- barium titanate --- sintering --- piezoelectric properties --- titanium alloys --- multimaterial 3D printing --- graded materials --- mechanical properties --- stress relaxation --- elevated temperatures --- pure tungsten --- selective electron beam melting (SEBM) --- porosity --- soft-magnetic alloy --- FeSiB --- magnetic properties

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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

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This Special Issue book covers a wide scope in the research field of 3D-printing, including: the use of 3D printing in system design; AM with binding jetting; powder manufacturing technologies in 3D printing; fatigue performance of additively manufactured metals, such as the Ti-6Al-4V alloy; 3D-printing methods with metallic powder and a laser-based 3D printer; 3D-printed custom-made implants; laser-directed energy deposition (LDED) process of TiC-TMC coatings; Wire Arc Additive Manufacturing; cranial implant fabrication without supports in electron beam melting (EBM) additive manufacturing; the influence of material properties and characteristics in laser powder bed fusion; Design For Additive Manufacturing (DFAM); porosity evaluation of additively manufactured parts; fabrication of coatings by laser additive manufacturing; laser powder bed fusion additive manufacturing; plasma metal deposition (PMD); as-metal-arc (GMA) additive manufacturing process; and spreading process maps for powder-bed additive manufacturing derived from physics model-based machine learning.

Technology: general issues --- History of engineering & technology --- powder-bed additive manufacturing (AM) --- powder spreading --- spreading process map --- discrete element method (DEM) --- machine learning --- GMA additive manufacturing --- weld reinforcement --- visual features --- neural network --- selective laser melting --- magnesium alloys --- properties --- plasma metal deposition --- additive manufacturing --- 316L --- processing conditions --- mechanical properties --- microstructure --- virgin --- recycled --- metal powders --- laser powder bed fusion --- laser additive manufacturing --- 316l ss --- nickel alloy --- tribological behavior --- porosity --- rough surface --- ultrasonic testing --- convolutional neural network --- deep neural network --- multi-layer perceptron --- key performance indicators --- topology optimization --- design for additive manufacturing --- design for additive manufacturing services --- selective laser melting (SLM) --- laser powder bed fusion (LPBF) --- powder --- particle size distribution --- particle morphology --- powder layer density --- part density --- flowability --- Hausner ratio --- electron beam melting --- customized implant --- cost analysis --- fitting accuracy --- cranial reconstruction --- thin wall manufacturing --- process modelling --- ultrasonic vibration --- laser directed energy deposition --- coating --- TiC-TMC --- extremity --- revision --- limb salvage surgery --- 3D printing --- customized --- implant --- powder metallurgy --- simulated body fluid --- biomaterial --- fatigue --- titanium --- direct laser deposition --- Inconel 625 --- parametrisation --- microhardness --- preheating --- binder jetting --- sand casting --- aluminum alloy --- corrosion --- pressure drop --- heat exchanger --- surface textures --- dimples --- drag reduction --- powder-bed additive manufacturing (AM) --- powder spreading --- spreading process map --- discrete element method (DEM) --- machine learning --- GMA additive manufacturing --- weld reinforcement --- visual features --- neural network --- selective laser melting --- magnesium alloys --- properties --- plasma metal deposition --- additive manufacturing --- 316L --- processing conditions --- mechanical properties --- microstructure --- virgin --- recycled --- metal powders --- laser powder bed fusion --- laser additive manufacturing --- 316l ss --- nickel alloy --- tribological behavior --- porosity --- rough surface --- ultrasonic testing --- convolutional neural network --- deep neural network --- multi-layer perceptron --- key performance indicators --- topology optimization --- design for additive manufacturing --- design for additive manufacturing services --- selective laser melting (SLM) --- laser powder bed fusion (LPBF) --- powder --- particle size distribution --- particle morphology --- powder layer density --- part density --- flowability --- Hausner ratio --- electron beam melting --- customized implant --- cost analysis --- fitting accuracy --- cranial reconstruction --- thin wall manufacturing --- process modelling --- ultrasonic vibration --- laser directed energy deposition --- coating --- TiC-TMC --- extremity --- revision --- limb salvage surgery --- 3D printing --- customized --- implant --- powder metallurgy --- simulated body fluid --- biomaterial --- fatigue --- titanium --- direct laser deposition --- Inconel 625 --- parametrisation --- microhardness --- preheating --- binder jetting --- sand casting --- aluminum alloy --- corrosion --- pressure drop --- heat exchanger --- surface textures --- dimples --- drag reduction