Results 181 to 190 of about 26,565 (316)

Accelerating the Measurement of Fatigue Crack Growth with Incremental Information-Based Machine Learning Approach. [PDF]

Materials (Basel)
Wen C, Lu H, Wang Y, Wang M, Tian Y, Wu D, Diao Y, Hu J, Zhang Z.   +8 more
europepmc   +1 more source

Thermo-Mechanical Fatigue Crack Growth and Phase Angle Effects in Ti6246. [PDF]

Materials (Basel), 2022
Palmer J, Jones J, Whittaker M, Williams S.   +3 more
europepmc   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Experimental Evaluation of Nonlinear Parameters in Fatigue Crack Growth Using Digital Image Correlation. [PDF]

Materials (Basel)
Gómez Gonzales GL, Díaz FA.
europepmc   +1 more source

The dual role of martensitic transformation in fatigue crack growth. [PDF]

Proc Natl Acad Sci U S A, 2022
Wang X, Wang X, Liu C, Sun B, Ponge D, Jiang C, Raabe D.   +6 more
europepmc   +1 more source

Aptamer‐Directed Porous DNA Nanocomposite Hydrogel for Active Pulp Preservation: Immunomodulation, Stem Cell Recruitment and Reparative Dentinogenesis

Advanced Science, EarlyView.
This study presents an injectable DNA‐based porous hydrogel integrating catechol motifs and targeting aptamers for pulpitis management. Upon in situ crosslinking, the scaffold actively recruits endogenous dental pulp stem cells, restores redox homeostasis, and modulates immune responses.
Luhui Cai, Huan Yu, Zihan Ni, Kan Chen, I‐Chen Tsai, Zeyu Bao, Shuo Sun, Weichang Li, Yunhua Chen, Qiong Xu   +9 more
wiley   +1 more source

Research on the Accelerated Fatigue Experiment Method of the Crankshaft Based on a Modified Particle Filtering Algorithm and the Fatigue Crack Growth Property. [PDF]

Materials (Basel)
Fu J, Sun S, Gong X, Shen S, Jiang N, Juan J.   +5 more
europepmc   +1 more source

Characterization of Fatigue Crack Growth Based on Acoustic Emission Multi-Parameter Analysis. [PDF]

Materials (Basel), 2022
Chai M, Lai C, Xu W, Duan Q, Zhang Z, Song Y.   +5 more
europepmc   +1 more source

Electric‐Current‐Induced Phase Transformation in Cu6Sn5 Below Its Equilibrium Transition Temperature

Advanced Science, EarlyView.
Electric current induces a monoclinic‐to‐hexagonal phase transformation in Cu6Sn5 at a measured bulk temperature of ∼120°C, below the equilibrium transition temperature. Ex situ synchrotron x‐ray diffraction, TEM, and matched thermal controls show that current stressing promotes the formation of a retained hexagonal η‐phase post‐stress state not ...
Shih‐kang Lin, Shubhayan Mukherjee, Yu‐chen Liu, Jun Mizuno   +3 more
wiley   +1 more source

Bayesian Updating of Fatigue Crack Growth Parameters for Failure Prognosis of Miter Gates. [PDF]

Materials (Basel)
Brown A, Eick B, Fillmore T, Nguyen H.
europepmc   +1 more source