Advanced Approaches Applied to Materials Development and Design Predictions

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,...

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Glavni avtor: Hu, Dianyin (auth)
Drugi avtorji: Zhang, Xiancheng (auth), Correia, José A.F.O (auth), De Jesus, Abílio M.P (auth), Zhu, Shun-Peng (auth)
Format: Book Chapter
Izdano: MDPI - Multidisciplinary Digital Publishing Institute 2020
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Online dostop:Get Fullteks
DOAB: description of the publication
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041 0 |a English 
042 |a dc 
100 1 |a Hu, Dianyin  |4 auth 
700 1 |a Zhang, Xiancheng  |4 auth 
700 1 |a Correia, José A.F.O.  |4 auth 
700 1 |a De Jesus, Abílio M.P.  |4 auth 
700 1 |a Zhu, Shun-Peng  |4 auth 
245 1 0 |a Advanced Approaches Applied to Materials Development and Design Predictions 
260 |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2020 
300 |a 1 electronic resource (164 p.) 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a 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. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by-nc-nd/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by-nc-nd/4.0/ 
546 |a English 
653 |a delamination 
653 |a ultrahigh strain-rate plastic deformation 
653 |a amorphization 
653 |a indentation behavior 
653 |a fatigue crack growth 
653 |a mean stress effect 
653 |a sintering temperature 
653 |a dual-phase TC11 titanium alloy 
653 |a Bi4Ti3O12 ceramics 
653 |a fatigue 
653 |a probabilistic optimization 
653 |a generalized regression neural network 
653 |a wind turbine blade 
653 |a power generation systems and technologies 
653 |a strain prediction 
653 |a adsorption 
653 |a materials technology 
653 |a bladed disk 
653 |a fatigue creep 
653 |a extremum response surface method 
653 |a R-ratio 
653 |a mechanical properties 
653 |a laser shock peening 
653 |a copper current collector 
653 |a reliability analysis 
653 |a alternating current potential drop (ACPD) 
653 |a mixed-mode fracture 
653 |a turbine blisk 
653 |a advanced testing and statistics 
653 |a fuzzy theory 
653 |a low cycle fatigue life 
653 |a polyurea 
653 |a damage/degradation 
653 |a generalized Paris' Law 
653 |a first-principles method 
653 |a full-scale static test 
653 |a lithium-ion batteries 
653 |a energy approach 
653 |a hot extrusion 
653 |a intermittent computed tomography 
653 |a AISI 304 
653 |a crack paths 
653 |a probabilistic physics 
653 |a crack propagation 
653 |a aluminum chip solid state recycling 
653 |a crack closure 
653 |a fractography 
653 |a crack growth rate 
653 |a adhesion 
653 |a finite element analysis 
653 |a composite coating 
653 |a J-integral 
653 |a impact resistance 
653 |a nanocrystallization 
653 |a PSO-BP Neural Network 
653 |a fatigue development 
653 |a multi-extremum response surface method 
653 |a failure mechanisms 
856 4 0 |a www.oapen.org  |u https://mdpi.com/books/pdfview/book/2124  |7 0  |z Get Fullteks 
856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/40178  |7 0  |z DOAB: description of the publication