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2021 (6)

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Book
Intermetallic Compound
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Year: 2021 Publisher: Basel, Switzerland : MDPI - Multidisciplinary Digital Publishing Institute,

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Abstract

This Special Issue collects ten articles related to the broadly understood physical properties of intermetallic compounds. Differential thermal analysis was carried out, and the temperatures of thermal effects that arise during the reduction of neodymium from a technological salt mixture of KCl–NaCl–CaCl2–NdF3 with a magnesium–zinc alloy were established. For sol–gel products of stoichiometric MgTiO3, accurate thermal expansion coefficients were measured. The effect of various nanoparticles, such as GaF3, ZnF2, Zn(BF4)2 and Ga2O3 additions, on the activity of CsF-RbF-AlF3 flux and mechanical behavior of Al/Steel brazed joints is presented. The effect of Bi substitution on the structural and magnetic properties of Nd1-xBixMnO3 is investigated. Characteristics of hard magnetic materials based on Nd2Fe14B and Ce2Fe14B intermetallic compounds are presented. A special algorithm is presented to support vector regression for estimating the maximum magnetic entropy change of doped manganite-based compounds. We have received information about the mechanical properties of the reactively synthesized porous Ti3SiC2 compound with different apertures. Furthermore, we have presented the experimental results of Zn-doped Al-rich for fast on-board hydrogen production.

Keywords

Engineering --- Technology --- Ti3SiC2 --- intermetallic compound --- porous material --- mechanical property --- pore size --- elastic modulus --- Al-rich alloy --- hydrogen generation --- Zn addition --- Ga2O3 --- flux --- Zn-Al filler metal --- wettability --- spreadability --- magnetocaloric effect --- support vector regression --- extreme learning machine --- maximum magnetic entropy change --- gravitational search algorithm --- GaF3 --- CsF-AlF3 flux --- R-Fe-B intermetallics --- cerium --- permanent magnets --- simulation --- magnetic anisotropy constant --- hysteresis loop --- coercive force --- residual magnetization --- X-ray diffraction --- perovskites manganites --- AC magnetic susceptibility --- ZnF2 --- Zn(BF4)2 --- mechanical properties --- MgTiO3 --- geikielite --- high-temperature X-ray diffraction --- sol-gel technique --- thermal expansion --- magnesium-zinc-neodymium master alloy --- Mg-Zn-Nd --- magnesium master alloy --- magnesium --- rare-earth metals --- master alloy synthesis --- metallothermic reduction --- History. --- History. --- Ti3SiC2 --- intermetallic compound --- porous material --- mechanical property --- pore size --- elastic modulus --- Al-rich alloy --- hydrogen generation --- Zn addition --- Ga2O3 --- flux --- Zn-Al filler metal --- wettability --- spreadability --- magnetocaloric effect --- support vector regression --- extreme learning machine --- maximum magnetic entropy change --- gravitational search algorithm --- GaF3 --- CsF-AlF3 flux --- R-Fe-B intermetallics --- cerium --- permanent magnets --- simulation --- magnetic anisotropy constant --- hysteresis loop --- coercive force --- residual magnetization --- X-ray diffraction --- perovskites manganites --- AC magnetic susceptibility --- ZnF2 --- Zn(BF4)2 --- mechanical properties --- MgTiO3 --- geikielite --- high-temperature X-ray diffraction --- sol-gel technique --- thermal expansion --- magnesium-zinc-neodymium master alloy --- Mg-Zn-Nd --- magnesium master alloy --- magnesium --- rare-earth metals --- master alloy synthesis --- metallothermic reduction


Book
Intermetallic Compound
Author:
Year: 2021 Publisher: Basel, Switzerland : MDPI - Multidisciplinary Digital Publishing Institute,

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Abstract

This Special Issue collects ten articles related to the broadly understood physical properties of intermetallic compounds. Differential thermal analysis was carried out, and the temperatures of thermal effects that arise during the reduction of neodymium from a technological salt mixture of KCl–NaCl–CaCl2–NdF3 with a magnesium–zinc alloy were established. For sol–gel products of stoichiometric MgTiO3, accurate thermal expansion coefficients were measured. The effect of various nanoparticles, such as GaF3, ZnF2, Zn(BF4)2 and Ga2O3 additions, on the activity of CsF-RbF-AlF3 flux and mechanical behavior of Al/Steel brazed joints is presented. The effect of Bi substitution on the structural and magnetic properties of Nd1-xBixMnO3 is investigated. Characteristics of hard magnetic materials based on Nd2Fe14B and Ce2Fe14B intermetallic compounds are presented. A special algorithm is presented to support vector regression for estimating the maximum magnetic entropy change of doped manganite-based compounds. We have received information about the mechanical properties of the reactively synthesized porous Ti3SiC2 compound with different apertures. Furthermore, we have presented the experimental results of Zn-doped Al-rich for fast on-board hydrogen production.


Book
Intermetallic Compound
Author:
Year: 2021 Publisher: Basel, Switzerland : MDPI - Multidisciplinary Digital Publishing Institute,

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Bookmark

Abstract

This Special Issue collects ten articles related to the broadly understood physical properties of intermetallic compounds. Differential thermal analysis was carried out, and the temperatures of thermal effects that arise during the reduction of neodymium from a technological salt mixture of KCl–NaCl–CaCl2–NdF3 with a magnesium–zinc alloy were established. For sol–gel products of stoichiometric MgTiO3, accurate thermal expansion coefficients were measured. The effect of various nanoparticles, such as GaF3, ZnF2, Zn(BF4)2 and Ga2O3 additions, on the activity of CsF-RbF-AlF3 flux and mechanical behavior of Al/Steel brazed joints is presented. The effect of Bi substitution on the structural and magnetic properties of Nd1-xBixMnO3 is investigated. Characteristics of hard magnetic materials based on Nd2Fe14B and Ce2Fe14B intermetallic compounds are presented. A special algorithm is presented to support vector regression for estimating the maximum magnetic entropy change of doped manganite-based compounds. We have received information about the mechanical properties of the reactively synthesized porous Ti3SiC2 compound with different apertures. Furthermore, we have presented the experimental results of Zn-doped Al-rich for fast on-board hydrogen production.


Book
Numerical Modelling and Simulation of Metal Processing
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book deals with metal processing and its numerical modelling and simulation. In total, 21 papers from different distinguished authors have been compiled in this area. Various processes are addressed, including solidification, TIG welding, additive manufacturing, hot and cold rolling, deep drawing, pipe deformation, and galvanizing. Material models are developed at different length scales from atomistic simulation to finite element analysis in order to describe the evolution and behavior of materials during thermal and thermomechanical treatment. Materials under consideration are carbon, Q&T, DP, and stainless steels; ductile iron; and aluminum, nickel-based, and titanium alloys. The developed models and simulations shall help to predict structure evolution, damage, and service behavior of advanced materials.

Keywords

Technology: general issues --- all-position automatic tungsten inert gas (TIG) welding --- optimal welding parameters --- response surface method (RSM) --- lap joint --- weld bead geometry --- tin alloy --- modified embedded-atom method --- molecular dynamics simulation --- phase transformation --- diffusion --- numerical simulation --- cellular automaton --- dendritic grain growth --- quantitative prediction --- plasticity forming --- cold roll-beating forming --- process parameter --- multi-objective optimization --- undermatched --- integrity identification --- XFEM --- fracture toughness calculation method --- microstructure --- tensile properties --- intermetallics --- casting --- dual phase steel --- hot dip galvanizing line --- multivariate analysis --- dilatometry --- selective laser melting --- additive manufacturing --- SLM --- FEM --- Al2O3 --- reinforced --- Al2O3-ZrO2 --- 304 --- stainless --- composite --- aluminium alloy --- EN AW-6060 --- precipitation hardening aluminium alloys --- material model --- heating --- cooling --- flow cures --- LS-DYNA --- molecular dynamics --- nano-cutting --- crystal direction --- γ-TiAl alloy --- stacking fault --- flow stress --- hot deformation --- carbon steel --- continuous cooling --- phase transformations --- rupture disc --- finite element analysis --- burst fracture --- mechanical property --- austenitic stainless steel --- stress triaxiality --- material damage --- FEM simulation --- ultrasonic drawing --- titanium wire --- drawing force --- Mises stress --- contact stress --- work hardening --- deep drawing --- limiting drawing ratio (LDR) --- draw radius --- anisotropy --- finite element method --- stainless steels --- plastic deformation --- mechanical properties --- quarter buckle --- roll stack deflection --- strip material flow --- roll contour optimisation --- hot-rolled stainless steel --- model fitting --- optimization --- metal casting --- SGI --- compass search --- NEWUOA --- genetic algorithm --- particle swarm optimization --- additive manufacture --- Ti-6Al-4V --- temperature distribution --- distortion --- residual stress --- experimental validation --- cylindrical cup --- earing --- thermal modeling --- volumetric heat source --- computational efficiency --- all-position automatic tungsten inert gas (TIG) welding --- optimal welding parameters --- response surface method (RSM) --- lap joint --- weld bead geometry --- tin alloy --- modified embedded-atom method --- molecular dynamics simulation --- phase transformation --- diffusion --- numerical simulation --- cellular automaton --- dendritic grain growth --- quantitative prediction --- plasticity forming --- cold roll-beating forming --- process parameter --- multi-objective optimization --- undermatched --- integrity identification --- XFEM --- fracture toughness calculation method --- microstructure --- tensile properties --- intermetallics --- casting --- dual phase steel --- hot dip galvanizing line --- multivariate analysis --- dilatometry --- selective laser melting --- additive manufacturing --- SLM --- FEM --- Al2O3 --- reinforced --- Al2O3-ZrO2 --- 304 --- stainless --- composite --- aluminium alloy --- EN AW-6060 --- precipitation hardening aluminium alloys --- material model --- heating --- cooling --- flow cures --- LS-DYNA --- molecular dynamics --- nano-cutting --- crystal direction --- γ-TiAl alloy --- stacking fault --- flow stress --- hot deformation --- carbon steel --- continuous cooling --- phase transformations --- rupture disc --- finite element analysis --- burst fracture --- mechanical property --- austenitic stainless steel --- stress triaxiality --- material damage --- FEM simulation --- ultrasonic drawing --- titanium wire --- drawing force --- Mises stress --- contact stress --- work hardening --- deep drawing --- limiting drawing ratio (LDR) --- draw radius --- anisotropy --- finite element method --- stainless steels --- plastic deformation --- mechanical properties --- quarter buckle --- roll stack deflection --- strip material flow --- roll contour optimisation --- hot-rolled stainless steel --- model fitting --- optimization --- metal casting --- SGI --- compass search --- NEWUOA --- genetic algorithm --- particle swarm optimization --- additive manufacture --- Ti-6Al-4V --- temperature distribution --- distortion --- residual stress --- experimental validation --- cylindrical cup --- earing --- thermal modeling --- volumetric heat source --- computational efficiency


Book
Numerical Modelling and Simulation of Metal Processing
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book deals with metal processing and its numerical modelling and simulation. In total, 21 papers from different distinguished authors have been compiled in this area. Various processes are addressed, including solidification, TIG welding, additive manufacturing, hot and cold rolling, deep drawing, pipe deformation, and galvanizing. Material models are developed at different length scales from atomistic simulation to finite element analysis in order to describe the evolution and behavior of materials during thermal and thermomechanical treatment. Materials under consideration are carbon, Q&T, DP, and stainless steels; ductile iron; and aluminum, nickel-based, and titanium alloys. The developed models and simulations shall help to predict structure evolution, damage, and service behavior of advanced materials.

Keywords

Technology: general issues --- all-position automatic tungsten inert gas (TIG) welding --- optimal welding parameters --- response surface method (RSM) --- lap joint --- weld bead geometry --- tin alloy --- modified embedded-atom method --- molecular dynamics simulation --- phase transformation --- diffusion --- numerical simulation --- cellular automaton --- dendritic grain growth --- quantitative prediction --- plasticity forming --- cold roll-beating forming --- process parameter --- multi-objective optimization --- undermatched --- integrity identification --- XFEM --- fracture toughness calculation method --- microstructure --- tensile properties --- intermetallics --- casting --- dual phase steel --- hot dip galvanizing line --- multivariate analysis --- dilatometry --- selective laser melting --- additive manufacturing --- SLM --- FEM --- Al2O3 --- reinforced --- Al2O3-ZrO2 --- 304 --- stainless --- composite --- aluminium alloy --- EN AW-6060 --- precipitation hardening aluminium alloys --- material model --- heating --- cooling --- flow cures --- LS-DYNA --- molecular dynamics --- nano-cutting --- crystal direction --- γ-TiAl alloy --- stacking fault --- flow stress --- hot deformation --- carbon steel --- continuous cooling --- phase transformations --- rupture disc --- finite element analysis --- burst fracture --- mechanical property --- austenitic stainless steel --- stress triaxiality --- material damage --- FEM simulation --- ultrasonic drawing --- titanium wire --- drawing force --- Mises stress --- contact stress --- work hardening --- deep drawing --- limiting drawing ratio (LDR) --- draw radius --- anisotropy --- finite element method --- stainless steels --- plastic deformation --- mechanical properties --- quarter buckle --- roll stack deflection --- strip material flow --- roll contour optimisation --- hot-rolled stainless steel --- model fitting --- optimization --- metal casting --- SGI --- compass search --- NEWUOA --- genetic algorithm --- particle swarm optimization --- additive manufacture --- Ti-6Al-4V --- temperature distribution --- distortion --- residual stress --- experimental validation --- cylindrical cup --- earing --- thermal modeling --- volumetric heat source --- computational efficiency


Book
Numerical Modelling and Simulation of Metal Processing
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

This book deals with metal processing and its numerical modelling and simulation. In total, 21 papers from different distinguished authors have been compiled in this area. Various processes are addressed, including solidification, TIG welding, additive manufacturing, hot and cold rolling, deep drawing, pipe deformation, and galvanizing. Material models are developed at different length scales from atomistic simulation to finite element analysis in order to describe the evolution and behavior of materials during thermal and thermomechanical treatment. Materials under consideration are carbon, Q&T, DP, and stainless steels; ductile iron; and aluminum, nickel-based, and titanium alloys. The developed models and simulations shall help to predict structure evolution, damage, and service behavior of advanced materials.

Keywords

all-position automatic tungsten inert gas (TIG) welding --- optimal welding parameters --- response surface method (RSM) --- lap joint --- weld bead geometry --- tin alloy --- modified embedded-atom method --- molecular dynamics simulation --- phase transformation --- diffusion --- numerical simulation --- cellular automaton --- dendritic grain growth --- quantitative prediction --- plasticity forming --- cold roll-beating forming --- process parameter --- multi-objective optimization --- undermatched --- integrity identification --- XFEM --- fracture toughness calculation method --- microstructure --- tensile properties --- intermetallics --- casting --- dual phase steel --- hot dip galvanizing line --- multivariate analysis --- dilatometry --- selective laser melting --- additive manufacturing --- SLM --- FEM --- Al2O3 --- reinforced --- Al2O3-ZrO2 --- 304 --- stainless --- composite --- aluminium alloy --- EN AW-6060 --- precipitation hardening aluminium alloys --- material model --- heating --- cooling --- flow cures --- LS-DYNA --- molecular dynamics --- nano-cutting --- crystal direction --- γ-TiAl alloy --- stacking fault --- flow stress --- hot deformation --- carbon steel --- continuous cooling --- phase transformations --- rupture disc --- finite element analysis --- burst fracture --- mechanical property --- austenitic stainless steel --- stress triaxiality --- material damage --- FEM simulation --- ultrasonic drawing --- titanium wire --- drawing force --- Mises stress --- contact stress --- work hardening --- deep drawing --- limiting drawing ratio (LDR) --- draw radius --- anisotropy --- finite element method --- stainless steels --- plastic deformation --- mechanical properties --- quarter buckle --- roll stack deflection --- strip material flow --- roll contour optimisation --- hot-rolled stainless steel --- model fitting --- optimization --- metal casting --- SGI --- compass search --- NEWUOA --- genetic algorithm --- particle swarm optimization --- additive manufacture --- Ti-6Al-4V --- temperature distribution --- distortion --- residual stress --- experimental validation --- cylindrical cup --- earing --- thermal modeling --- volumetric heat source --- computational efficiency

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