Scale Transition Rules Applied to Crystal Plasticity

2016 ◽  
pp. 1-15 ◽  
Author(s):  
Georges Cailletaud ◽  
Florent Coudon
Keyword(s):  
Crystal Plasticity ◽  
Scale Transition ◽  
Transition Rules

scholarly journals SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging

2021 ◽  
Author(s):  
Ziyu Jia ◽  
Youfang Lin ◽  
Jing Wang ◽  
Xuehui Wang ◽  
Peiyi Xie ◽  
...  
Keyword(s):  
Sleep Stage ◽  
Disease Diagnosis ◽  
Sleep Stages ◽  
Sleep Staging ◽  
Neural Network Models ◽  
Multimodal Data ◽  
Multi Scale ◽  
Wave Detection ◽  
Scale Transition ◽  
Transition Rules

Sleep staging is fundamental for sleep assessment and disease diagnosis. Although previous attempts to classify sleep stages have achieved high classification performance, several challenges remain open: 1) How to effectively extract salient waves in multimodal sleep data; 2) How to capture the multi-scale transition rules among sleep stages; 3) How to adaptively seize the key role of specific modality for sleep staging. To address these challenges, we propose SalientSleepNet, a multimodal salient wave detection network for sleep staging. Specifically, SalientSleepNet is a temporal fully convolutional network based on the $U^2$-Net architecture that is originally proposed for salient object detection in computer vision. It is mainly composed of two independent $U^2$-like streams to extract the salient features from multimodal data, respectively. Meanwhile, the multi-scale extraction module is designed to capture multi-scale transition rules among sleep stages. Besides, the multimodal attention module is proposed to adaptively capture valuable information from multimodal data for the specific sleep stage. Experiments on the two datasets demonstrate that SalientSleepNet outperforms the state-of-the-art baselines. It is worth noting that this model has the least amount of parameters compared with the existing deep neural network models.

Scale transition models and X-ray stress analysis

2003 ◽  
Vol 100 (12) ◽  
pp. 1137-1149
Author(s):  
M. François
Keyword(s):  
Stress Analysis ◽  
X Ray ◽  
Scale Transition ◽  
Transition Models

Crystal Plasticity Assessment to Crystallographic Stage I Cracking in a Ni-Based Single Crystal Superalloy

2018 ◽  
Author(s):  
Motoki Sakaguchi ◽  
Ryota Komamura ◽  
Mana Higaki ◽  
Xiaosheng Chen ◽  
Hirotsugu Inoue
Keyword(s):  
Single Crystal ◽  
Crystal Plasticity ◽  
Stage I ◽  
Single Crystal Superalloy

Crystal plasticity of natural garnet: New microstructural evidence

Geology ◽  
2000 ◽  
Vol 28 (11) ◽  
pp. 1003-1006 ◽  
Author(s):  
David J. Prior ◽  
John Wheeler ◽  
Frank E. Brenker ◽  
Ben Harte ◽  
Mike Matthews
Keyword(s):  
Crystal Plasticity

scholarly journals Lath Martensite Microstructure Modeling: A High-Resolution Crystal Plasticity Simulation Study

Materials ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 691
Author(s):  
Francisco-José Gallardo-Basile ◽  
Yannick Naunheim ◽  
Franz Roters ◽  
Martin Diehl
Keyword(s):  
High Resolution ◽  
Mechanical Behavior ◽  
Crystal Plasticity ◽  
Lath Martensite ◽  
Three Dimensional ◽  
Building Blocks ◽  
Quantitative Agreement ◽  
Carbon Steels ◽  
Plastic Behavior ◽  
Austenitic Phase

Lath martensite is a complex hierarchical compound structure that forms during rapid cooling of carbon steels from the austenitic phase. At the smallest, i.e., ‘single crystal’ scale, individual, elongated domains, form the elemental microstructural building blocks: the name-giving laths. Several laths of nearly identical crystallographic orientation are grouped together to blocks, in which–depending on the exact material characteristics–clearly distinguishable subblocks might be observed. Several blocks with the same habit plane together form a packet of which typically three to four together finally make up the former parent austenitic grain. Here, a fully parametrized approach is presented which converts an austenitic polycrystal representation into martensitic microstructures incorporating all these details. Two-dimensional (2D) and three-dimensional (3D) Representative Volume Elements (RVEs) are generated based on prior austenite microstructure reconstructed from a 2D experimental martensitic microstructure. The RVEs are used for high-resolution crystal plasticity simulations with a fast spectral method-based solver and a phenomenological constitutive description. The comparison of the results obtained from the 2D experimental microstructure and the 2D RVEs reveals a high quantitative agreement. The stress and strain distributions and their characteristics change significantly if 3D microstructures are used. Further simulations are conducted to systematically investigate the influence of microstructural parameters, such as lath aspect ratio, lath volume, subblock thickness, orientation scatter, and prior austenitic grain shape on the global and local mechanical behavior. These microstructural features happen to change the local mechanical behavior, whereas the average stress–strain response is not significantly altered. Correlations between the microstructure and the plastic behavior are established.

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