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The demand for cast iron components, with weights ranging from a few kilograms to several tons, has increased significantly in recent years, both for technical and economic reasons. In fact, the lower cost compared to other alloys, and the good castability, which allow one to obtain near-net shape components in as-cast conditions, and the mechanical properties that can be obtained, are just some of the motivations that attract mechanical designers. However, correct design requires a good knowledge of the intrinsic correlation among alloy chemical composition, process parameters, microstructure (with casting defects) and mechanical properties. This book is aimed at collecting excellent and recent research experimental and theoretical works in this filed. Technological (say, wear resistance and weldability) and mechanical properties (say, Young modulus, static and fatigue strength) of different grades of cast irons, ranging from solution strengthened ferritic ductile iron to compacted graphite iron as well as white and nodular cast irons, are correlated with the alloy chemical composition, process parameters and casting dimension.

History of engineering & technology --- boundary element method (BEM) --- periodic boundary conditions --- representative volume elements (RVEs) --- effective elastic properties --- homogenization --- lamellar graphite iron --- ultimate tensile strength --- primary austenite --- gravity casting process simulation --- nodular cast iron --- effective Young’s modulus --- computational homogenization --- multiscale numerical methods --- micro-CT --- finite elements --- n/a --- silicon solution strengthened ferritic ductile iron --- thickness --- solidification time --- microstructure --- mechanical properties --- fatigue --- thermal analysis --- weldability --- pre-heating --- spheroidal graphite cast iron --- ductile cast irons --- tensile tests --- plasticity modelling --- compacted graphite iron --- minimum quantity lubrication (MQL) --- drilling machinability --- dry machining --- ductile iron --- cooling rate --- segregation --- cast iron --- high-chromium --- abrasive wear --- niobium alloying --- high chromium cast irons --- eutectic carbide --- carbide volume fraction --- chemical composition --- image analysis --- simulation --- MatCalc --- hardness --- effective Young's modulus

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• Reference Manager
• EndNote
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The demand for cast iron components, with weights ranging from a few kilograms to several tons, has increased significantly in recent years, both for technical and economic reasons. In fact, the lower cost compared to other alloys, and the good castability, which allow one to obtain near-net shape components in as-cast conditions, and the mechanical properties that can be obtained, are just some of the motivations that attract mechanical designers. However, correct design requires a good knowledge of the intrinsic correlation among alloy chemical composition, process parameters, microstructure (with casting defects) and mechanical properties. This book is aimed at collecting excellent and recent research experimental and theoretical works in this filed. Technological (say, wear resistance and weldability) and mechanical properties (say, Young modulus, static and fatigue strength) of different grades of cast irons, ranging from solution strengthened ferritic ductile iron to compacted graphite iron as well as white and nodular cast irons, are correlated with the alloy chemical composition, process parameters and casting dimension.

boundary element method (BEM) --- periodic boundary conditions --- representative volume elements (RVEs) --- effective elastic properties --- homogenization --- lamellar graphite iron --- ultimate tensile strength --- primary austenite --- gravity casting process simulation --- nodular cast iron --- effective Young’s modulus --- computational homogenization --- multiscale numerical methods --- micro-CT --- finite elements --- n/a --- silicon solution strengthened ferritic ductile iron --- thickness --- solidification time --- microstructure --- mechanical properties --- fatigue --- thermal analysis --- weldability --- pre-heating --- spheroidal graphite cast iron --- ductile cast irons --- tensile tests --- plasticity modelling --- compacted graphite iron --- minimum quantity lubrication (MQL) --- drilling machinability --- dry machining --- ductile iron --- cooling rate --- segregation --- cast iron --- high-chromium --- abrasive wear --- niobium alloying --- high chromium cast irons --- eutectic carbide --- carbide volume fraction --- chemical composition --- image analysis --- simulation --- MatCalc --- hardness --- effective Young's modulus

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• EndNote
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Very recently, a great deal of attention has been paid by researchers and technologists to trying to eliminate metal materials in the design of products and processes in favor of plastics and composites. After a few years, it is possible to state that metal materials are even more present in our lives and this is especially thanks to their ability to evolve. This Special Issue is focused on the recent evolution of metals and alloys with the scope of presenting the state of the art of solutions where metallic materials have become established, without a doubt, as a successful design solution thanks to their unique properties.

Technology: general issues --- material properties prediction --- experimental data analysis --- ductile/spheroidal cast iron (SGI) --- compact graphite cast iron (CGI) --- Machine Learning (RF) --- pattern recognition --- Random Forest (RF) --- Artificial Neural Network (NN) --- k-nearest neighbours (kNN) --- tribology --- wear --- slurry erosion --- coating --- cermet --- spheroidal graphite cast iron --- pack aluminizing --- microstructure --- high-temperature oxidation resistance --- hybrid composite --- wear performance --- ZA27 alloy --- deflection --- plates --- stiffeners --- numerical simulation --- Constructal Design --- austenitic stainless steel --- tensile properties --- artificial neural network --- MIV analysis --- pallet rack --- moment-rotation curve --- connection --- experiment --- numerical analysis --- thermomechanical processing --- grain growth --- forging --- retained austenite --- bainitic microstructure --- extended finite element method (xFEM) --- polarization curve --- long-term operated metals --- hybrid materials --- fatigue crack growth --- stress intensity factors (SIF) --- linear regression --- micromagnetic testing --- hardness --- case hardening depth --- phase-field modeling --- modified damage model --- large-strain plasticity --- S355J2+N steel --- ductile fracture --- two-stage yield function --- copper coatings --- pulsating current (PC) --- composite hardness models --- creep resistance --- material properties prediction --- experimental data analysis --- ductile/spheroidal cast iron (SGI) --- compact graphite cast iron (CGI) --- Machine Learning (RF) --- pattern recognition --- Random Forest (RF) --- Artificial Neural Network (NN) --- k-nearest neighbours (kNN) --- tribology --- wear --- slurry erosion --- coating --- cermet --- spheroidal graphite cast iron --- pack aluminizing --- microstructure --- high-temperature oxidation resistance --- hybrid composite --- wear performance --- ZA27 alloy --- deflection --- plates --- stiffeners --- numerical simulation --- Constructal Design --- austenitic stainless steel --- tensile properties --- artificial neural network --- MIV analysis --- pallet rack --- moment-rotation curve --- connection --- experiment --- numerical analysis --- thermomechanical processing --- grain growth --- forging --- retained austenite --- bainitic microstructure --- extended finite element method (xFEM) --- polarization curve --- long-term operated metals --- hybrid materials --- fatigue crack growth --- stress intensity factors (SIF) --- linear regression --- micromagnetic testing --- hardness --- case hardening depth --- phase-field modeling --- modified damage model --- large-strain plasticity --- S355J2+N steel --- ductile fracture --- two-stage yield function --- copper coatings --- pulsating current (PC) --- composite hardness models --- creep resistance