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Advanced Approaches Applied to Materials Development and Design Predictions / / Abílio M. P. de Jesus [and four others]



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Autore: Jesus Abílio M. P. de Visualizza persona
Titolo: Advanced Approaches Applied to Materials Development and Design Predictions / / Abílio M. P. de Jesus [and four others] Visualizza cluster
Pubblicazione: Basel : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2020
Descrizione fisica: 1 online resource (164 pages)
Disciplina: 620.1126
Soggetto topico: Materials - Fatigue
Nota di contenuto: About the Special Issue Editors -- Preface to "Advanced Approaches Applied to Materials Development and Design Predictions" xi Jose Correia, Ab´ılio De Jesus, Shun-Peng Zhu, Xiancheng Zhang and Dianyin Hu Advanced Simulation Tools Applied to Materials Development and Design Predictions -- Chun-Yi Zhang, Zhe-Shan Yuan, Ze Wang, Cheng-Wei Fei and Cheng Lu Probabilistic Fatigue/Creep Optimization of Turbine Bladed Disk with Fuzzy Multi-Extremum Response Surface Method -- Monika Duda, Joanna Pach and Grzegorz Lesiuk Influence of Polyurea Composite Coating on Selected Mechanical Properties of AISI 304 Steel -- Alexander Koch, Philipp Wittke and Frank Walther Computed Tomography-Based Characterization of the Fatigue Behavior and Damage Development of Extruded Profiles Made from Recycled AW6060 Aluminum Chips -- Xin Liu, Zheng Liu, Zhongwei Liang, Shun-Peng Zhu, Jose A. F. O. Correia and Abilio M. P. De Jesus PSO-BP Neural Network-Based Strain Prediction of Wind Turbine Blades -- Chunyi Zhang, Jingshan Wei, Huizhe Jing, Chengwei Fei and Wenzhong Tang Reliability-Based Low Fatigue Life Analysis of Turbine Blisk with Generalized Regression Extreme Neural Network Method-- Grzegorz Lesiuk Application of a New, Energy-Based ΔS* Crack Driving Force for Fatigue Crack Growth Rate Description -- Jian Chen, Chao Li, Jian Zhang, Cong Li, Jianlin Chen and Yanjie Ren First-Principles Study on the Adsorption and Dissociation of Impurities on Copper Current Collector in Electrolyte for Lithium-Ion Batteries -- Sihai Luo, Liucheng Zhou, Xuede Wang, Xin Cao, Xiangfan Nie and Weifeng He Surface Nanocrystallization and Amorphization of Dual-Phase TC11 Titanium Alloys under Laser Induced Ultrahigh Strain-Rate Plastic Deformation -- Shaoxiong Xie, Jiageng Xu, Yu Chen, Zhi Tan, Rui Nie, Qingyuan Wang and Jianguo Zhu Indentation Behavior and Mechanical Properties of Tungsten/Chromium co-Doped Bismuth Titanate Ceramics Sintered at Different Temperatures -- Grzegorz Lesiuk, Michał Smolnicki, Dariusz Rozumek, Halyna Krechovska, Oleksandra Student, Jose Correia, Rafał Mech and Abilio De Jesus Study of the Fatigue Crack Growth in Long-Term Operated Mild Steel under Mixed-Mode (I + II, I + III) Loading Conditions.
Sommario/riassunto: 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.
Titolo autorizzato: Advanced Approaches Applied to Materials Development and Design Predictions  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910598037503321
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