ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

X
feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues  (357)
  • deep learning  (164)
  • MDPI - Multidisciplinary Digital Publishing Institute  (485)
  • Institute of Electrical and Electronics Engineers (IEEE)
  • Springer
  • 2020-2024  (485)
  • 2023  (485)
Collection
Keywords
Publisher
Language
Years
  • 2020-2024  (485)
Year
  • 1
    facet.materialart.
    Unknown
    Mechanical Behavior of Shape Memory Alloys: 2022 (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: In recent years, the fascination with shape memory alloys (SMAs) has grown across industries such as aerospace, automotive, naval, civil, and biology. SMAs possess unique properties, including the ability to recover from deformation when heated, exhibit pseudoelastic stress-strain behavior for large deformations, and exceptional biocompatibility for bioengineering applications. However, a comprehensive understanding of critical characteristics like transformation temperature and stress values is necessary to fully utilize SMAs. The shape memory effect, where SMAs regain their original shape after deformation under specific thermal conditions, has driven innovative applications in various sectors. In aerospace, SMAs are used in wing structures and actuation systems, enabling morphing and improving aerodynamics. In healthcare, they are integrated into orthopedic devices, simplifying surgical procedures and providing necessary support. The automotive industry also benefits from SMAs, using them in seatbelts and vibration damping systems for enhanced safety and comfort. Accurate knowledge of critical characteristics is essential for effective utilization of SMAs, unlocking their potential in different fields. The remarkable versatility of SMAs, with their deformation recovery, pseudoelasticity, and biocompatibility, positions them as a material of immense interest. As research and development continue, SMAs are poised to drive future innovations, shaping various industries.
    Keywords: shape memory alloy (SMAs) ; shape memory effect (SME) ; superelasticity ; smart materials ; constitutive models ; simulation and modeling ; smart devices ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGM Materials science
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    E-BOOK
  • 2
    facet.materialart.
    Unknown
    Research Progress in High-Performance Magnesium Alloy and Its Applications (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: Mg alloy is the lightest metallic structural material and possesses the advantages of high specific strength, high specific stiffness, good electromagnetism shield, good damping capacity, good machinability, and easy recycling, etc. Therefore, it has extremely broad application prospects and has drawn considerable interest in the fields of automobile, electronics, electrical appliances, transportation, aerospace, and aviation. In addition, Mg alloys are gradually showing application potential in emerging industries, serving as biodegradable metals in the biomedical field, functional material for hydrogen storage, and so on. This Special Issue (SI), entitled “Research Progress in High-Performance Magnesium Alloy and Its Applications”, presents recent developments and excellent results in the field of Mg alloys, and includes 10 articles and one editorial covering some interesting aspects of the topic.
    Keywords: grain refinement ; high strength and toughness ; {10–12} twin ; Mg-Gd-Y alloy ; multidirectional impact forging ; Mg-Zn-Mn-Ca ; Ca2Mg6Zn3 phase ; corrosion behaviors ; SKPFM ; boride ; MgB2 ; mechanical alloying ; ignition ; combustion ; flame temperature ; magnesium alloy ; biocompatibility ; surface coating modification ; corrosion resistance ; implantable bio-metal materials ; filler material ; welding ; scandium ; microstructure modification ; mechanical properties ; microstructure ; texture ; stretch formability ; high temperature cross-rolling ; annealing ; wire arc additive manufacturing ; cold metal transfer ; Al-Mg alloys ; orthogonal experiment ; Mg-Bi-Ca alloy ; hot deformation ; constitutive model ; dynamic recrystallization kinetics ; Mg alloy ; twinning ; random orientation ; compression ; room temperature ; backward extrusion ; tensile strength ; failure mechanism ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGM Materials science
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    E-BOOK
  • 3
    facet.materialart.
    Unknown
    Silkworm and Silk: Traditional and Innovative Applications (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: Papers collected in the present Special Issue relate to the field of sericulture. They cover different aspects based on a very ancient human agricultural activity, taking into consideration classical agronomic aspects, such as the impact of feeding on silk quality and sericulture in different parts of the world. Nonetheless, cutting edge topics are addressed as well, with papers studying silk as a biomaterial, the silkworm as a model organism, and the possibility of exploring its physiology and the molecular mechanisms that stand behind it with the aid of modern tools such as gene profiling, the CRISPR/Cas-9 system, and -omics sciences.
    Keywords: silkworm ; Bombyx mori ; transcriptome analysis ; RNA-seq ; gene model transcriptional factor ; Cutibacterium acnes ; infection ; antibacterial drugs ; polyamines ; cell cycle progression ; Bombyx mori nuclear polyhedrosis virus ; sequencing analysis ; qPCR ; pathogenicity difference ; maternal mRNAs ; 20-hydroxyecdysone ; pupa ; wandering ; fibroin ; sericin ; chrysalis ; diabetes ; hydrogen sulfide ; transcriptome ; differentially expressed genes ; expression pattern ; silk ; supercritical carbon dioxide impregnation ; nanofiller ; CRISPR-Cas ; silkworms ; genome engineering ; insect biotechnology ; entomology ; sericulture ; agroindustry ; Food and Agriculture Organization of the United Nations ; mulberry ; moriculture ; germplasm preservation ; 16S rRNA gene ; amplicon sequencing ; gut microbiota ; co-expression network analysis ; silk protein ; transcription factor ; Eri silkworm ; pentose-utilizing microbe ; lactic acid bacteria ; probiotic ; Eri culture ; silk fibroin ; SILKBridge® nerve conduit ; performance testing ; biocompatibility ; toxicology ; regulatory requirements ; quality requirements ; control manufacturing ; green material ; biomaterial ; 3D scaffolds ; cancer therapy ; bibliometric analysis ; mulberry silkworm pupae ; nutritional composition ; silk gland ; infection model ; Staphylococcus epidermidis ; insect immune response ; antimicrobial compounds ; glycopeptide antibiotics ; vancomycin ; teicoplanin ; dalbavancin ; mulberry leaves ; chemical composition ; feeding experiment ; bacterial microbiome ; BmNPV ; Bombyx mori L. ; non-timber forest product ; livelihood ; Indonesia ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnology
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    E-BOOK
  • 4
    facet.materialart.
    Unknown
    Artificial Intelligence Techniques in Hydrology and Water Resources Management (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2023-06-23
    Description: The sustainable management of water cycles is crucial in the context of climate change and global warming. It involves managing global, regional, and local water cycles, as well as urban, agricultural, and industrial water cycles, to conserve water resources and their relationships with energy, food, microclimates, biodiversity, ecosystem functioning, and anthropogenic activities. Hydrological modeling is indispensable for achieving this goal, as it is essential for water resources management and the mitigation of natural disasters. In recent decades, the application of artificial intelligence (AI) techniques in hydrology and water resources management has led to notable advances. In the face of hydro-geo-meteorological uncertainty, AI approaches have proven to be powerful tools for accurately modeling complex, nonlinear hydrological processes and effectively utilizing various digital and imaging data sources, such as ground gauges, remote sensing tools, and in situ Internet of Things (IoT) devices. The thirteen research papers published in this Special Issue make significant contributions to long- and short-term hydrological modeling and water resources management under changing environments using AI techniques coupled with various analytics tools. These contributions, which cover hydrological forecasting, microclimate control, and climate adaptation, can promote hydrology research and direct policy making toward sustainable and integrated water resources management.
    Keywords: ANN ; roadside IoT sensors ; simulations of the gridded rainstorms ; 2D inundation simulation and real-time error correction ; weather types and features ; meteorological feature extraction ; artificial neural network ; self-organizing map (SOM) ; urban agriculture ; resource utilization efficiency ; urban northern Taiwan ; machine learning ; random forest ; regression analysis ; support vector machine ; threshold rainfall ; threshold runoff ; XGBoost ; stochastic rainfall generator ; Huff rainfall curve ; copula ; GeoAI ; artificial intelligence ; hydrological ; hydraulic ; fluvial ; water quality ; geomorphic ; modeling ; anomaly detection ; deep reinforcement learning ; telemetry water level ; time series ; ensemble ; multi-model ensemble ; precipitation ; forecasting ; persian gulf ; deep learning ; dam inflow ; RNN ; LSTM ; GRU ; hyperparameter ; rainfall time series ; artificial neural networks ; Multiple Linear Regression ; Chania ; CNN ; ELM ; temporary rivers ; hydrological extremes ; multivariate stochastic model ; autoregressive model ; Markov model ; daily temperature ; temperature generator ; Bayesian neural network ; forecasting uncertainty ; multi-step ahead forecasting ; probabilistic streamflow forecasting ; variational inference ; smart microclimate-control system (SMCS) ; system dynamics ; water–energy–food nexus ; agricultural resilience ; hydroinformatics ; hydrological modeling ; early warning ; uncertainty ; sustainability
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    E-BOOK
  • 5
    facet.materialart.
    Unknown
    Supply Chain 4.0: New Generation of Supply Chain Management (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: Supply Chain 4.0 is designed, planned, managed and optimized using Industry 4.0 technologies. There are many research issues and challenges associated with Supply Chain 4.0, a data rich complex system. The available data can interpret what happened in the past, what is currently happening, what will happen in the future and what are the best actionable decisions. Digitalization, visibility, connectivity and interoperability are integrated in Supply Chain 4.0. The operational, tactical and strategic plans across the supply chain are digitally interlinked and real-time synchronized with a 360-degree view. The win–win partnerships are dynamic and sustainable, with agility, flexibility and responsiveness to uncertain business environments. New models and methods are advocated to implement Supply Chain 4.0 research and development. With the progress and implementation of Industry 4.0 technologies, it is anticipated that there will be more and more breakthroughs in the models and methods of Supply Chain 4.0. This Special Issue will serve as a helpful reference for Supply Chain 4.0 researchers and practitioners.
    Keywords: Industry 4.0 ; supply chain management and optimization ; Supply Chain 4.0 ; supply chain analytics ; supply chain visibility and connectivity ; supply chain synchronization and coordination ; sustainable supply chain management&nbsp ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    E-BOOK
  • 6
    facet.materialart.
    Unknown
    5G Enabling Technologies and Wireless Networking (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: The ongoing deployment of 5G networks is a key enabler for realizing upcoming services at scale, including the massive deployment of the Internet of Things, providing communications to support autonomous vehicles, and supporting the realization of smart cities. However, as the limitations of existing approaches become apparent, the need for next-generation technologies is growing, in terms of improving spectral efficiency, increasing network data rates and densification, supporting local/wide area wireless coordination, and more. In this Special Issue, we present some technologies to meet these demanding requirements and facilitate coordinating wireless networks to support future Beyond 5G networks.
    Keywords: 5G fiber optic networks ; data-driven service assurance ; next generation networks ; predictive analytics ; live-video delivery ; 5G networks ; virtualized content delivery networks ; network function virtualization ; service function chain deployment ; deep reinforcement learning ; MAC classification ; vehicular networks ; VANETs ; distributed MAC ; centralized MAC ; multi-channel MAC ; single-channel MAC ; spectrum allocation ; private 5G ; mmWave RAN ; modulation and coding schemes ; spectral efficiency ; self-organization ; self-optimization ; self-healing ; SON applications and architecture ; SON design and dimensioning ; machine learning (ML) and artificial intelligence (AI) for SON ; massive Machine-Type Communication (mMTC) ; IoT ; URLLC ; backhauling ; SON for 3G/4G ; 5G and B5G networks ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    E-BOOK
  • 7
    facet.materialart.
    Unknown
    Advanced Coal, Petroleum and Nature Gas Exploration Technology (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: Energy is an important material basis that can promote the development of human society. Despite the increasing use of renewable energy, the overall energy supply is dominated by fossil fuels. For a long period of time, the main consumption proportion of fossil energy will not change. With the perspective of fossil fuels such as coal, oil, natural gas, shale oil, shale gas, and combustible ice, energy exploration, reservoir reconstruction, and intelligent applications in energy exploitation and energy occurrence geology are currently explored from the perspectives of exploration and exploitation technology. This reprint summarizes the intelligent unmanned mining and its development trends and conducts various research studies, including the stratigraphic correlation of sandy conglomerate in the Yellow River Delta Sag of the Bohai Bay basin, the growth and distribution of coal-measured hydrocarbon source rocks in a mixed platform, the physical and mechanical properties of sandstone, mudstone and granite in the geological environment of deep energy reservoirs, the formation mechanism of energy reservoirs and gas reservoirs, the two-phase flow experiment and numerical simulation in energy mining, the evolution law of cracks in the surrounding rock and the reinforcement principle of gradient support, and the comparison of particle pickup by axial flow and swirling flow in horizontal pneumatic conveying.
    Keywords: intelligent mine ; smart mining ; intelligent working face ; intelligent control ; adaptive ; robotic technology ; seismic rock physics ; sandstone and mudstone ; P-wave and S-wave velocity ; pressure ; temperature ; sandy conglomerate ; Huanghekou Sag ; stratigraphic correlation ; calcite U-Pb dating ; detrital zircon ; pressure-controlled pyrolysis ; oil–water separation ; centrifugal force ; two-phase vapor separation ; cyclone separation ; Tarim Basin ; mixed platform ; delta ; coal-measure distribution ; coal-measure logging response ; axial flow ; swirling flow ; pickup behavior ; coefficient of variation ; tight sandstone gas reservoir ; nuclear magnetic resonance ; fracture ; water blocking ; n/a ; rock mechanical properties ; MMTS ; geothermal development ; geothermal reservoir ; different depth of occurrence ; gas storage ; injection production simulation ; effective permeability ; seepage law ; two-dimensional simulation experiment ; fracture evolution law ; fractured seepage zone ; gradient failure support ; hierarchical control mechanism ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGM Materials science
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    E-BOOK
  • 8
    facet.materialart.
    Unknown
    Potential Anti-SARS-CoV-2 Molecular Strategies (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: Herein we describe some molecular aspects of the recent anti-COVID-19 research, including some approaches making use of natural remedies, especially from medicinal plants, in silico methods, and different experimental procedures that led to the discovery of novel targets of SARS-CoV-2 and consequently novel potential COVID-19 therapeutics. COVID-19 vaccines also find mention in this book with also a description of some adverse effects reported in some cases. Considering that the different beta coronaviruses present certain conserved biomolecular mechanisms and, thus, some common therapeutic targets, finding effective therapies for a specific member of their family (such as SARS-CoV, SARS-CoV-2, and MERS-CoV) even in a scenario of a reduced impact at the time of the related disease on humankind is still relevant as it could offer or inspire efficacious therapeutic strategies not only in the context of novel pathogenic mutations of the already known beta coronaviruses, but also when future zoonoses caused by other beta coronaviruses will emergence, which is not unlikely to occur in the current world where the interactions between humans and wildlife are made more and more frequent due to the growing loss of intact ecosystems worldwide.
    Keywords: coronavirus infections ; pandemics ; natural compounds ; clove ; Syzygium aromaticum ; eugenol ; eugeniin ; SARS-CoV-2 ; COVID-19 ; phytochemicals ; herbal medicine ; catechin ; polyphenol ; tea leaf extract ; theaflavin ; virucidal activity ; MERS-CoV ; S1-NTD ; pharmacophore modeling ; ADME ; quantum mechanical calculation ; DFT ; FMO ; MM/GBSA ; molecular docking ; Molecular Dynamics Simulation ; HOMO ; LUMO ; COVID-19 vaccine ; disseminated intravascular coagulation ; heparin induced thrombocytopenia ; platelet factor 4 ; thrombosis ; thrombotic thrombo-cytopenic purpura ; vaccine induced thrombocytopenia and thrombosis ; disinfectants ; ethanol ; hand hygiene ; ozonated water ; slightly acidic electrolyzed water ; virucidal mechanism ; coronavirus ; renal disease ; nephrotoxicity ; reno-protective effect ; green tea ; epigallocatechin-3-gallate (EGCG) ; flavonoids ; natural products ; medicinal plant ; SARS-Cov-2 nsp10 ; structural similarity ; fingerprint ; ADMET ; toxicity ; main protease ; triazole ; docking ; MD simulation ; drug ; proteomic ; vaccine ; immunology ; biomarker ; cheminformatics ; phytocompounds ; systems pharmacology ; anti-COVID-19 ; drug repositioning ; molecular dynamic simulations ; binding free energy ; signal peptide ; RBD protein ; secretion ; mutant ; nucleocapsid or nucleoprotein ; structure-based drug discovery ; alphafold model and molecular dynamics ; neuroinflammation ; brain fog ; neuropeptides ; neurotransmission ; metabolism ; NSAIDs ; inflammation ; ketoprofen ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnology
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    E-BOOK
  • 9
    facet.materialart.
    Unknown
    Cybersecurity and Data Science (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2023-04-05
    Description: The reprint focuses on the latest research in cybersecurity and data science. Digital transformation turns data into the new oil, so the increasing availability of big data, structured and unstructured datasets, raises new challenges in cybersecurity, efficient data processing and knowledge extraction. The field of cybersecurity and data science fuels the data-driven economy. Innovations in this field require strong foundations in mathematics, statistics, machine learning and information security. The unprecedented increase in the availability of data in many fields of science and technology (e.g., genomic data, data from industrial environments, network traffic, streaming media, sensory data of smart cities, and social network data) ask for new methods and solutions for data processing, information extraction and decision support. This stimulates the development of new methods of data analysis, including those adapted to the analysis of new data structures and the growing volume of data. The papers included in this reprint discuss various topics ranging from cyberattacks, steganography, anomaly detection, evaluation of the attacker skills, modelling of the threats, and wireless security evaluation, as well as artificial intelligence, machine learning, and deep learning. Given this diversity of topics the book represents a valuable reference for researchers in cybersecurity security and data science.
    Keywords: steganography ; network security ; steganography detection ; steganalysis ; machine learning ; big data ; IoT ; pattern mining ; wireless communications ; covert channel ; dirty constellation ; wireless postmodulation steganography ; phase drift ; drift correction modulation ; undetectability ; security ; quadrature amplitude modulation ; spam ; phishing ; classification ; augmented dataset ; multi-language emails ; cybersecurity ; data protection ; SoC ; threat agents ; motivation ; opportunity ; capability ; user profiling ; implicit ; modeling ; real-time user monitoring ; complexity threat agent ; threat assessment ; network traffic analysis ; convolutional neural networks ; network traffic images ; visualization of traffic ; classifiers ; e-mail ; ham ; data science ; datasets ; cyber threats modeling ; multi-agent systems ; cyber deception ; pseudorandom sequences generators ; prime numbers ; additive Fibonacci generator ; statistical characteristics ; android device ; BrainShield ; hybrid model ; malware detection ; Omnidroid ; image processing ; BOSS database ; ensemble classifier ; deep learning ; stegomalware ; traffic analysis ; network probe ; hash function ; SHA-3 ; FPGA ; cognitive security ; cyberattacks ; game software ; threat matrix computing ; evaluation function ; data modeling ; authentication ; bit template ; information-processing electronic device ; Poisson pulse sequences generators ; n/a ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries
    Language: English
    Format: application/octet-stream
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    E-BOOK
  • 10
    facet.materialart.
    Unknown
    Recent Advances in Mechanisms of Fracture and Fatigue (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: This reprint focuses on basic and applied research on fatigue and fracture processes in engineering of materials and composites. Special attention is given to understanding fracture processes from the point of view of micro and nano damage mechanisms related to material microstructure. Advanced experimental methods such as tomography, digital image correlation, high resolution electron microscopy and fractography are applied in combination with theoretical multiscale models based on finite element methods and fracture mechanics to reveal the fundamental causes of material failure.
    Keywords: cyclic indentation ; Vickers hardness ; inverse analysis ; numerical simulations ; cyclic material properties ; fatigue life ; advanced high-strength steels ; hydrogen embrittlement ; in-situ testing ; scanning electron microscopy ; plasma charging ; coarse-grained Ni-based superalloys ; crystal plasticity ; notch effect ; strain concentration factor ; hull fracture ; inspection manholes ; bulk carrier ; cracks ; corrosion fatigue ; steel quality ; cleavage fracture ; finite element analysis ; local approach ; Weibull stress ; synchrotron tomography ; short fatigue crack growth ; residual stress ; very high cycle fatigue ; silicon carbide ; ceramic matrix composites ; creep properties ; high-temperature strength ; molecular dynamics ; artificial neural network ; forged titanium alloy ; low-cycle fatigue ; cycle wave form ; durability ; crack meso-tunneling ; fractography ; crack growth duration ; ultrasonic fatigue ; frequency effect ; strain rate effect ; environmental effect ; size effect ; high cycle fatigue ; underload cycles ; crack closure ; threshold ; fatigue crack growth ; oxidation ; EA4T steel ; fracture ; gigacycle fatigue ; surface morphology ; kinetic equation ; laminated metallic composites ; toughening mechanisms ; interfaces ; fatigue crack propagation ; large chamber SEM ; ultra-high steel grades ; tensile characteristics ; fracture toughness ; temperature dependence ; modelling fracture ; ductile-to-brittle transition ; local approach to fracture ; ferritic steel ; synchrotron radiation X-ray imaging ; fatigue performance ; fatigue crack ; FGH96 alloy ; microstructure ; micro-indentation ; mechanical and fracture properties identification ; optimisation analysis ; 316L stainless steel ; selective laser melting ; fatigue damage ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGM Materials science
    Language: English
    Format: image/jpeg
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    E-BOOK
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...