Advances in Design by Metallic Materials: Synthesis, Characterization, Simulation and Applications

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 liv...

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Other Authors: Fragassa, Cristiano (Editor), Epp, Jeremy (Editor), Lesiuk, Grzegorz (Editor), Zivkovic, Miroslav (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
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DOAB: description of the publication
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520 |a 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. 
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653 |a material properties prediction 
653 |a experimental data analysis 
653 |a ductile/spheroidal cast iron (SGI) 
653 |a compact graphite cast iron (CGI) 
653 |a Machine Learning (RF) 
653 |a pattern recognition 
653 |a Random Forest (RF) 
653 |a Artificial Neural Network (NN) 
653 |a k-nearest neighbours (kNN) 
653 |a tribology 
653 |a wear 
653 |a slurry erosion 
653 |a coating 
653 |a cermet 
653 |a spheroidal graphite cast iron 
653 |a pack aluminizing 
653 |a microstructure 
653 |a high-temperature oxidation resistance 
653 |a hybrid composite 
653 |a wear performance 
653 |a ZA27 alloy 
653 |a deflection 
653 |a plates 
653 |a stiffeners 
653 |a numerical simulation 
653 |a Constructal Design 
653 |a austenitic stainless steel 
653 |a tensile properties 
653 |a artificial neural network 
653 |a MIV analysis 
653 |a pallet rack 
653 |a moment-rotation curve 
653 |a connection 
653 |a experiment 
653 |a numerical analysis 
653 |a thermomechanical processing 
653 |a grain growth 
653 |a forging 
653 |a retained austenite 
653 |a bainitic microstructure 
653 |a extended finite element method (xFEM) 
653 |a polarization curve 
653 |a long-term operated metals 
653 |a hybrid materials 
653 |a fatigue crack growth 
653 |a stress intensity factors (SIF) 
653 |a linear regression 
653 |a micromagnetic testing 
653 |a hardness 
653 |a case hardening depth 
653 |a phase-field modeling 
653 |a modified damage model 
653 |a large-strain plasticity 
653 |a S355J2+N steel 
653 |a ductile fracture 
653 |a two-stage yield function 
653 |a copper coatings 
653 |a pulsating current (PC) 
653 |a composite hardness models 
653 |a creep resistance 
653 |a n/a 
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