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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Autors principals:	Hu, Dianyin, Zhang, Xiancheng, Correia, José A.F.O., De Jesus, Abílio M.P., Zhu, Shun-Peng
Format:	Online
Idioma:	anglès
Publicat:	MDPI - Multidisciplinary Digital Publishing Institute 2021
Matèries:	TA1-2040 T1-995 delamination ultrahigh strain-rate plastic deformation amorphization indentation behavior fatigue crack growth mean stress effect sintering temperature dual-phase TC11 titanium alloy Bi4Ti3O12 ceramics fatigue probabilistic optimization generalized regression neural network wind turbine blade power generation systems and technologies strain prediction adsorption materials technology bladed disk fatigue creep extremum response surface method R-ratio mechanical properties laser shock peening copper current collector reliability analysis alternating current potential drop (ACPD) mixed-mode fracture turbine blisk advanced testing and statistics fuzzy theory low cycle fatigue life polyurea damage/degradation generalized Paris’ Law first-principles method full-scale static test lithium-ion batteries energy approach hot extrusion intermittent computed tomography AISI 304 crack paths probabilistic physics crack propagation aluminum chip solid state recycling crack closure fractography crack growth rate adhesion finite element analysis composite coating J-integral impact resistance nanocrystallization PSO-BP Neural Network fatigue development multi-extremum response surface method failure mechanisms thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Accés en línia:	44847
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Advanced Approaches Applied to Materials Development and Design Predictions

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