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

Edited by
July 2021
234 pages
  • ISBN978-3-0365-0746-0 (Hardback)
  • ISBN978-3-0365-0747-7 (PDF)
https://doi.org/10.3390/books978-3-0365-0747-7
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This book is a reprint of the Special Issue Advances in Design by Metallic Materials: Synthesis, Characterization, Simulation and Applications that was published in

Chemistry & Materials Science
Engineering
Summary

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.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
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); artificial neural network; 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; hardness; creep resistance; n/a