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Hence, CS is particularly suitable for coating of thermal-sensitive materials, such as nanocrystalline and amorphous materials [13, 14], and for oxygen-sensitive and low melting temperature materials, such as aluminum, magnesium and titanium alloys [7, 12, 15].
Helfritch, Materials & Design Vol. 25 (2004) p. 681
Alkhimov, New Materials and Technologies, Theory and Practice of Materials Hardening in Extremal Processes Vol
Lee, Journal of Materials Science Vol. 47 (2012) p. 4649
Lee, Journal of Materials Science Vol. 47 (2012) p. 4053

Dissipation Analysis of IGBT module in FB-ZVZCS-PWM Converter Xianzheng Liu1, a, Rui Jin1, Kunshan Yu1, Lijun Xie1, Hailong Bao 2, Yu Zhang2, Juan Liu2, Jiajie Che2 1Electrical Engineering New Material and Microelectronics Department, State Grid Smart Grid Research Institute, Beijing 100192, China 2Shanghai Municipal Electric Power Company, Shanghai 200122, China aliuxianzheng@sgri.sgcc.com.cn KEY WORDS: FB-ZVZCS-PWM; IGBT; FWD; Inverter welder; Switching loss ABSTRACT: Along with the government and market take more and more attention to the energy efficiency of power supply, the loss of IGBT module, as the core device, has become a hot topic.
Acknowledgements This work was financially supported by Science and Technology Project of SGCC (SGRI-WD-91-12-001), (SGRI-WD-71-13-006) and (SGRI-WD-71-13-007).
Journal of Tsinghua University: Science and Technology, 2012, 52(11): 1578-1583(In Chinese)
IEEE Trans. on Plasma Science, 2011, 39(1): 364-367

Mohamed Fathimald a,b,c,dSRM Institute of Science and Technology, Vadapalani Campus , India aja5146@srmist.edu.in, babydu99@gmail.com, cdivya2000mean@gmail.com, *dfathimap@srmist.edu.in Keywords: Medical image, brain tumor, classification, deep learning-based tumor classification, image segmentation Abstract.
The grey material that surrounds the cerebrum and is composed of cortical neurons is the cerebral cortex.
References [1] Javaria Amin, Muhammad Sharif, Anandakumar Haldorai, Mussarat Yasmin, Ramesh Sundar Nayak - “Brain tumor detection and classification using machine learning: a comprehensive survey”, Complex & Intelligent Systems, October 2021 [2] Emrah Irmak - “Multi-Classification of Brain Tumor MRI Images Using Deep Convolutional Neural Network with Fully Optimized Framework”, Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 10 April 2021 [3] G.
A Salam, "Brain Tumor Detection Using Various Deep Learning Algorithms,” 2021 International Conference on Science & Contemporary Technologies (ICSCT), 2021

Material and Methods The main instruments and reagents.
[4] Y C Li, R W Yan, C P Zhao: Journal of Anhui University (Natural Sciences) Vol. 31 (2007), p. 82 [5] J L Wang, F Q Wang, Yu J: Chinese Science Bulletin Vol. 53 (2008), p.900 [6] GB 18421-2001.
[10] Y B Hao, H Q Song, Y C Wu: Food Science Vol. 33 (2012), p.219

The parameters are set as follows: Unit type is solid brick and is set to 8nodes；Material property is Isotropic; Elastic modulus E is 3.3Gpa; Poisson's ratio is 0.3; Meshing size is 0.5mm.
Acknowledgement This work was supported by the National Science Foundation of China (Grant No. 60975068), and Shanghai Education Commission Foundation (No. 09ZZ091), and Shanghai Key Laboratory of Mechanical Automation and Robotics Science Foundation (No.ZZ0805) .
(Science and Technology), vol.7,no.4(2001), p.293-296 [2] H.
Journal of System Simulation[J].

Assessment on the Possibility of Low-carbon Economic Development ——Taking Zhejiang, China as A Case Study Zhou Bin1,a,Jin Lu2,b, Zhang He3,c , Deng Qun4,d , Xu Jing5,e and Hu Chunli6,f 1College of Liberal Arts Faculty, Ningbo University, Ningbo 315211, CHINA 2 College of Liberal Arts Faculty, Ningbo University, Ningbo 315211, CHINA 3 Department of Earth Sciences of Zhejiang University, Hangzhou, 311027, CHINA 4College of Liberal Arts Faculty, Ningbo University, Ningbo 315211, CHINA 5College of Liberal Arts Faculty, Ningbo University, Ningbo 315211, CHINA 6College of Liberal Arts Faculty, Ningbo University, Ningbo 315211, CHINA anjuzoubin@163.com, bjinlu719@163.com, c929363583@qq.com, d549106218@qq.com, e965682599@qq.com, f642434195@qq.com Keywords: Low-carbon Economy, Development Possibility, Comprehensive Evaluation, Zhejiang Abstract.
The level of urbanization in Zhejiang Province in 2010 was up to 61.6%, nearly 12 percentage points higher than the average number in China.The fine economy condition provides a good material basis for the development of low-carbon economy in Zhejiang.
Acknowledgements This Supported by National Natural Science Foundation of China(41171435)and Social Science Foundation of Ningbo City (G12-XK10) References [1] Information on http://www.ipcc.ch/ ipccreports /ar4-wg3.htm [2] D.H.
Li: Journal of Zhejiang Shuren University, Vol. 2 (2011), p.52-57.

Abstract: This article presents a broad review of long persistence (LP) materials that are a special kind of photon energy storage and conversion materials.
Selection of Host Materials 3.2.
Multiple Center-doped Materials 4.
Selection of Host Materials: Host materials are of critical importance for long persistent phosphors.
[68] Chung-Hsin Lu, Shih-Yen Chen, Chia-Hao Hsu Nano sized strontium aluminate phosphors prepared via a reverse microemulsion route, Materials Science and Engineering B 140 (2007) 218–221

Szabó, "Segregation in Nanostructures" in "Advances in Nanophase Materials and Nanotechnology" Vol.
Journal of Appl.
Sepiol, Science, 306, 1913-1915 (2004) [15] D.L.
Thomas, Metals Materials and Processes Vol. 11, (1999), p. 217 [18] U.
Beke) special issue of Journal of Metastable and Nanocrystalline Materials, Vol. 19 (2004), p. 107 [25] C.

Materials and Methods The study is framed in a real industrial case in the production line of the tail cone of a commercial aircraft.
The carbide substrate, EMT100, is a micro-grain cemented carbide with 0.8 μm medium grain size and a composition of 93 % tungsten carbide, 6 % cobalt, and 1 % other materials.
Variable Description Aircraft ID Aircraft identification number Hole ID Identification number of the hole Tool ID Tool identification number Tool type Number defining the type of tool Hole accumulated Number of holes drilled by the tool Date Date of completion of the hole Components materials Material of the parts drilled in a drill operation CFRP thickness Thickness of the CFRP parts per hole in mm Titanium thickness Thickness of the titanium parts per hole in mm Hole total thickness Hole depth in mm Cutting speeds Cutting speeds used to drill each of the part materials in m/min.
See together with Component materials variable Feeds Feeds used to drill each of the part materials in mm/rev.
International Journal of Advanced Manufacturing Technology 2020;109. https://doi.org/10.1007/s00170-020-05449-w

Test study on mechanical characteristic of high strength composite shaft lining of steel and concrete Zhishu Yao a, Haiqing Song b and Hua Cheng c College of Civil Eng. and Architecture, Anhui University of Science and Technology,Huainan 232001, China ayao.zs@163.com ,bhaiqingsong80@163.com , chcheng@aust.edu.cn Key words: steel, concrete, composite shaft lining, mechanical properties, model test Abstract.
At this time, the hoop stress of shaft lining section presents the distribution of large inner edge and small outer edge; when the load is larger, the material is in the plastic stage and the stress of shaft lining section presents redistribution.
Acknowledgements This work was financially supported by the National Natural Science Foundation (51044004) and the Anhui Province Natural Science Foundation (51044004).
Li: Designing guidebook of coal mining (China Coal Industry Press, China 2002) [3] Z.S.Yao, H.Chang and J.J.Yang: Journal of China Coal Society Vol. 29(2004), P.167 [4] Z.H.Guo: Principle and application of the concrete strength and constitutive relationship (China Architecture and Buildings Press, China 2004) [5] X.X.Wei and Y.M.Lai: Theory and application of similar method (Lanzhou University Publishing House, China 2001)