- Shape Memory Alloy Transformations
- Titanium Alloys Microstructure and Properties
- Bone Tissue Engineering Materials
- Complex Network Analysis Techniques
- Opportunistic and Delay-Tolerant Networks
- Opinion Dynamics and Social Influence
- COVID-19 epidemiological studies
- Cinema and Media Studies
- High Entropy Alloys Studies
- Creativity in Education and Neuroscience
- Intermetallics and Advanced Alloy Properties
- Mobile Ad Hoc Networks
Yantai University
2024
Nanjing University of Science and Technology
2018-2023
In the present study, various defects such as dislocations were controlled in Ti-V-Al-based shape memory alloy by thermomechanical treatment and introduction of interstitial oxygen (O) atom to optimize performances. The results revealed that Ti-V-Al-O alloys gradually evolved from α” martensite phase β parent with increasing annealing temperature. Moreover, degree lattice distortion can be tailored changing temperatures. Upon temperature reached 900 °C, masses ω precipitates a nano-sized...
In the present study, hydrogenation treatment was adopted to tailor phase constituents of Ti-V-Al shape memory alloy, further optimizing its performances. It can be found that induced transition from α″ martensite β parent phase. Moreover, large amounts hydride precipitates observed in treated alloy with longer time 5h. Meanwhile, grain size reduced as a result treatment. The interstitial atom H serving β-stabilizing element led reduction martensitic transformation temperature. proportion,...
Many epidemics or viruses in real life spread by taking advantage of other dynamic processes, e.g., the computer virus propagates with transmission packets. In this paper, we survey recent progress study Traffic-Driven Epidemic Spreading (TDES) on complex networks. First, introduce several typical TDES models. Then, analyze key factors which have significant impact epidemic threshold, such as traffic congestion and routing protocols. Furthermore, discuss control focusing network structure...
Realistic epidemic spreading is usually driven by traffic flow in networks, which not captured classic diffusion models. Moreover, the progress of a node's infection from mild to severe phase has been particularly addressed previous modeling. To address these issues, we propose novel traffic-driven model introducing new state, that is, characterizes serious node different initial infection. We derive dynamic equations our with tools individual-based mean-field approximation and...
In the present study, evolution of precipitate with annealing temperature and its influence on martensitic transformation mechanical/functional properties multicomponent Ti–V–Al–Zr–Sn shape memory alloy were investigated. The results revealed that annealed at 700 °C mainly consisted α″ martensite rodlike α precipitates, while 800 resulted in appearance β phase C14-type Laves phase. Moreover, configuration precipitates evolved from to striplike. Upon increased 900 °C, completely diminished,...
Improving the accuracy of box office revenue forecasts is conducive to stimulating creation, market investment, infrastructure construction, and rational allocation public resources in film market, as well promoting social welfare cultural prosperity. Since existing prediction algorithm does not consider industry structure, satisfying. This paper firstly builds a two-stage human-machine collaborative feature processing framework. In first stage, based on data, regression decision tree used...