Reprint

Advanced Approaches Applied to Materials Development and Design Predictions

Edited by
March 2020
164 pages
  • ISBN978-3-03928-412-2 (Paperback)
  • ISBN978-3-03928-413-9 (PDF)

This book is a reprint of the Special Issue Advanced Approaches Applied to Materials Development and Design Predictions that was published in

Chemistry & Materials Science
Engineering
Physical Sciences
Summary
This thematic issue on advanced simulation tools applied to materials development and design predictions gathers selected extended papers related to power generation systems, presented at the XIX International Colloquium on Mechanical Fatigue of Metals (ICMFM XIX), organized at University of Porto, Portugal, in 2018. In this issue, the limits of the current generation of materials are explored, which are continuously being reached according to the frontier of hostile environments, whether in the aerospace, nuclear, or petrochemistry industry, or in the design of gas turbines where efficiency of energy production and transformation demands increased temperatures and pressures. Thus, advanced methods and applications for theoretical, numerical, and experimental contributions that address these issues on failure mechanism modeling and simulation of materials are covered. As the Guest Editors, we would like to thank all the authors who submitted papers to this Special Issue. All the papers published were peer-reviewed by experts in the field whose comments helped to improve the quality of the edition. We also would like to thank the Editorial Board of Materials for their assistance in managing this Special Issue.
Format
  • Paperback
License
© 2020 by the authors; CC BY licence
Keywords
Bi4Ti3O12 ceramics; sintering temperature; crack propagation; mechanical properties; indentation behavior; laser shock peening; dual-phase TC11 titanium alloy; ultrahigh strain-rate plastic deformation; nanocrystallization; amorphization; lithium-ion batteries; copper current collector; first-principles method; adsorption; fatigue crack growth; mean stress effect; J-integral; energy approach; generalized Paris’ Law; crack growth rate; R-ratio; turbine blisk; low cycle fatigue life; reliability analysis; generalized regression neural network; extremum response surface method; wind turbine blade; full-scale static test; PSO-BP Neural Network; strain prediction; hot extrusion; fatigue development; aluminum chip solid state recycling; intermittent computed tomography; alternating current potential drop (ACPD); AISI 304; polyurea; composite coating; impact resistance; adhesion; delamination; fatigue; fuzzy theory; multi-extremum response surface method; bladed disk; fatigue creep; probabilistic optimization; damage/degradation; failure mechanisms; probabilistic physics; advanced testing and statistics; materials technology; power generation systems and technologies; mixed-mode fracture; fatigue crack growth; crack growth rate; finite element analysis; crack paths; crack closure; fractography