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881 results on '"Di Jun"'

1. EFFECT OF DIFFERENT STRUCTURAL PARAMETERS ON THE 7075ALUMINUM ALLOY LUG FATIGUE CRACK GROWTH LIFE

Author

ZHOU Song, WANG HongDa, HUI Li, YANG WenJun, and DI Jun

Subjects
Lug, Aluminum alloy, Taper angle, Chamfer at the bottom, Crack growth life, Mechanical engineering and machinery, TJ1-1570, Materials of engineering and construction. Mechanics of materials, TA401-492
Abstract

In order to explore the influence of different structural parameters on the aircraft lug structure crack growth life, using the combination of numerical simulation and test method, fatigue tests were carried out on different structural parameters 7075 aluminum alloy lug samples, the three-dimensional stress intensity factor calculation models of different lugs based on the ABAQUS software was established, the accuracy of the model is verified by comparing the finite element solution with the experimental results and analytical values. Finally, The fatigue crack growth life of lug with different structural parameters was calculated by the Paris formula and fracture mechanics method. The results indicate that under the same stress, with the increase of taper angle, the fatigue crack growth life of the lug structure increases rapidly, and the bottom chamfer have little effect on it.

Published
2021
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2. Genetic mechanisms of deep-water massive sandstones in continental lake basins and their significance in micro–nano reservoir storage systems: A case study of the Yanchang formation in the Ordos Basin

Author

Liao Jianbo, Xi Aihua, Liang Sujuan, Zhou Xinping, Li Zhiyong, Di Jun, Zhang Wenting, Wanyan Rong, and Yu Pinghui

Subjects
fesem, geochemistry, micro-nano, nanopore, ordos basin, sedimentary structure, storage system, yanchang formation, Technology, Chemical technology, TP1-1185, Physical and theoretical chemistry, QD450-801
Published
2020
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11. Study on the Development of Industry of Internet of Things Based on Competitive GEM Model in Fujian Province

Author

Di Jun An and Li Hao

Subjects
internet of things, industrial development, Fujian, GEM model, Engineering (General). Civil engineering (General), TA1-2040
Abstract

Firstly, the basic theories of internet of things, competitive GEM model and industrial development in Fujian Province were studied in this paper. Then, the factors influencing the cultivation of industrial competitiveness of the internet of things was observed and finally the suggestions on enhancing the competitiveness of internet of things and strengthening the cultivation of talents of internet of things were put forward.

Published
2016
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12. Research on Basis and Method of Fujian-Taiwan Cultural Creative Industry Connection

Author

Li Hao and Di Jun An

Subjects
Fujian-Taiwan, cultural creative industry, connection cooperation, Engineering (General). Civil engineering (General), TA1-2040
Abstract

deepening Fujian-Taiwan cultural creative industry connection cooperation is of great importance to close Fujian-Taiwan relationship, forge new economic growth points, optimize and adjust industrial structure. In this paper, the opportunities, potential, basis and conditions for Fujian-Taiwan cultural creative industry connection cooperation are analyzed, and countermeasures and suggestions to deepen the connection cooperation are proposed.

Published
2016
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13. Comparison and Reference of the Talent Cultivation System in Vocational Education Based on Cultural Creation and Information Industry between Fujian and Taiwan

Author

Di Jun An and Li Hao

Subjects
Education in Fujian and Taiwan, cultural creation, information industry, talent cultivation, Engineering (General). Civil engineering (General), TA1-2040
Abstract

firstly, the current situation of the cultural creation and information industry in Fujian and Taiwan is investigated and compared in this paper. Secondly, the characteristics and advantages of the talent cultivation system in the cultural creation and information industry of Taiwan are investigated. Finally, the advantages of Taiwanese cultural creation and information industry in talent cultivation are referred to greatly cultivate the talents of cultural creation and information industry in Fujian Province.

Published
2016
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26. Phase-controllable growth of ultrathin 2D magnetic FeTe crystals

Author

Kang, Lixing, Ye, Chen, Zhao, Xiaoxu, Zhou, Xieyu, Hu, Junxiong, Li, Qiao, Ouyang, Qingling, Yang, Jiefu, Hu, Dianyi, Chen, Jieqiong, Cao, Xun, Zhang, Yong, Xu, Manzhang, Di, Jun, Tian, Dan, Song, Pin, Kutty, Govindan, Zeng, Qingsheng, Fu, Qundong, Deng, Ya, Zhou, Jiadong, Pennycook, Stephen J., Ariando, Ariando, Miao, Feng, Hong, Guo, Huang, Yizhong, Yong, Ken-Tye, Ji, Wei, Wang, Xiao Renshaw, and Liu, Zheng

Subjects
Condensed Matter - Materials Science
Abstract

Two-dimensional (2D) magnets with intrinsic ferromagnetic/antiferromagnetic (FM/AFM) ordering are highly desirable for future spintronics devices. However, the synthesis of 2D magnetic crystals, especially the direct growth on SiO2/Si substrate, is just in its infancy. Here, we report a chemical vapor deposition (CVD)-based rational growth approach for the synthesis of ultrathin FeTe crystals with controlled structural and magnetic phases. By precisely optimizing the growth temperature (Tgrowth), FeTe nanoplates with either layered tetragonal or non-layered hexagonal phase can be controlled with high-quality. The two controllable phases lead to square and triangular morphologies with a thickness down to 3.6 and 2.8 nm, respectively. More importantly, transport measurements reveal that tetragonal FeTe is antiferromagnetic with a Neel temperature (TN) about 71.8 K, while hexagonal FeTe is ferromagnetic with a Curie temperature (TC) around 220 K. Theoretical calculations indicate that the ferromagnetic order in hexagonal FeTe is originated from a concomitant lattice distortion and the spin-lattice coupling. This study represents a major step forward in the CVD growth of 2D magnetic materials on SiO2/Si substrates and highlights on their potential applications in the future spintronic devices., Comment: 15 pages, 5 figures

Published
2019
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27. Machine learning driven synthesis of few-layered WTe2

Author

Xu, Manzhang, Tang, Bijun, Zhu, Chao, Lu, Yuhao, Zheng, Lu, Zhang, Jingyu, Han, Nannan, Guo, Yuxi, Di, Jun, Song, Pin, He, Yongmin, Kang, Lixing, Zhang, Zhiyong, Zhao, Wu, Guan, Cuntai, Wang, Xuewen, and Liu, Zheng

Subjects
Condensed Matter - Materials Science, Computer Science - Machine Learning
Abstract

Reducing the lateral scale of two-dimensional (2D) materials to one-dimensional (1D) has attracted substantial research interest not only to achieve competitive electronic device applications but also for the exploration of fundamental physical properties. Controllable synthesis of high-quality 1D nanoribbons (NRs) is thus highly desirable and essential for the further study. Traditional exploration of the optimal synthesis conditions of novel materials is based on the trial-and-error approach, which is time consuming, costly and laborious. Recently, machine learning (ML) has demonstrated promising capability in guiding material synthesis through effectively learning from the past data and then making recommendations. Here, we report the implementation of supervised ML for the chemical vapor deposition (CVD) synthesis of high-quality 1D few-layered WTe2 nanoribbons (NRs). The synthesis parameters of the WTe2 NRs are optimized by the trained ML model. On top of that, the growth mechanism of as-synthesized 1T' few-layered WTe2 NRs is further proposed, which may inspire the growth strategies for other 1D nanostructures. Our findings suggest that ML is a powerful and efficient approach to aid the synthesis of 1D nanostructures, opening up new opportunities for intelligent material development.

Published
2019
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