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Online since: December 2014
Authors: Wei Liu, Chen Yu Liu, Chen Jun Liu
Price competition is the main way of competition in the market, the price is low because of buyer's market, in this case, some of the products and services because of its low price and unable to pay the safety expenses normal extraction and some enterprises only got extra profits from the low price of raw materials.
For low income residents of the A region, who don't eager to higher level of safety, but the same as the B area residents of material life level.
China Safety Science Journal, Vol. 8(2000), p. 45 ~ 50
Safety journal addresses exploration, April, (2000)
China Safety Science Journal, 18 volumes, 5, (2008), p. 74 ~ 81
Online since: November 2025
Authors: Iuliana Duma, Ilare Bordeasu, Lavinia Madalina Micu, Voicu Ioan Safta, Daniel Ostoia, Robert Parmanche, Cornelia Laura Salcianu, Cristian Ghera, Alexandru Nicolae Luca
Therefore, the guidance of scientists and users is to use materials with a structure as resistant to cavitation erosion as possible.
Preise: On testing materials for cavitation damage resistence, Report.
Matthews, Cavitation erosion of aluminium alloys, Journal of Materials Science vol.29 (1994) 1101-1108
Ghera, Cavitation erosion characteristics of the EN AW - 6082 aluminum alloy by TIG surface remelting, Materials, vol. 16, issue 7 (2023)
[28] *** ASTM E384 Standard Test Method for Microindentation Hardness of Materials (2022) [29] I.
Online since: August 2012
Authors: Xin Wu Chen, Jing Ge, Li Ping Che
Material Texture Contourlet Retrieval by Energy and Variance Distribution Features Xinwu Chen1, a, Jing Ge1,b,Liping Che2,c 1College of Physics and Electronic Engineering, Xinyang Normal University, Xinyang, China 2Information Science and Technology College, Northwest University, Xi’an, China achenxinwu@126.com, bJing_ge@126.com, chappyapple1120@163.com Keywords: content based image retrieval; contourlet transform; texture image retrieval; energy; variance distribution Abstract. contourlet transform can extract image texture information more efficiently than wavelet transform and has been studied for image de-noising, enhancement, and retrieval situations, its low retrieval rate are still not satisfied due to feature extraction and other reasons.
Introduction Texture is an important character of material surface and can be a retrieval entrance in modern societies.
Hema: Content Based Medical Image Retrieval by Combining Rotation Invariant Contourlet Features and Fourier Descriptors, International Journal of Recent Trends in Engineering, Vol. 2 (2009), p. 35-39 [8] http://www.ux. uis.no/~tranden/brodatz.html
Online since: July 2011
Authors: Li Li, Fei Fei Wang
Introduction As the third-generation rare-earth permanent magnet material, Nd-Fe-B permanent magnet was developed in the 1980s with excellent magnetic properties and high cost-effective.Nd-Fe-B permanent magnetic materials have became an important material basis of new technologies,which ensure the wide application in electron, household appliances, military, medical equipments and motors, etc...[1].
For large amounts of Nd element and strong reactions, Nd-Fe-B permanent magnetic materials were easily oxidized.
Among all surface coatings, Ni-P alloy coating which possesses more excellent mechanical, magnetic and anticorrosion performance over the crystal materials may be one of the excellent.
The Ni-P alloy coating of ultrasonic electroplating was investigated in details.朗显示对应的拉丁字符的拼显示对应的拉丁字符的拼音 Experiment Materials and specification.
Journal of Alloys and Compounds, 306(2000):253-261, (2000)
Online since: May 2014
Authors: Xiao Min Yao, Rui Li, Shu Guo Zhao
Cubic boron nitride(CBN) is of outstanding mechanical and physical properties,including high hardness and thermal conductivity.moreover,the thermal stability,chemical stability and resistance to oxidation of the CBN are better than diamond[2].These unique properties make CBN as an ideal cutting-tool candidate in processing of the hard-to-machine materials,such as alloy steel,quenched steel and cast iron[3].
The Method of the Experiment Sample Preparation The Laser cladding experiment with DL-HL-T5000B-CO2 industrial laser, clad materials is CBN powder, comparison of properties between CBN and diamond as shown in Table 1,substrate material is TC11 titanium alloy. make the cuboid sample through the wire cutting .The Chemical composition of TC11 as shown in Table 2.Before the experiment,TC11 cladding surface to be sanded and cleaned with acetone,using precoated method for laser cladding experiment.Use argon as the protective gas,the argon gas with a higher sputtering capabilities , does not have the chemical reaction with the metallic element.
[J].Jewellery Science and Technology,2005,(05):41-45
Diamond and Related Materials,2011,20: 174-177
[J].Journal of Inorganic Materials,2007,(5):385-390
Online since: July 2021
Authors: Elmar Yagyaev, Seran Akimov
The cutting conditions during the experimental studies for resistance are presented in Table 1, the material of plates is HSS (1.3343 / S6-5-2 DIN), the processed material is Steel 1045, Cutting fluid I30.
Plate surface after machining at cutting speed, the insert material is HSS (1.3343 / S6-5-2 DIN), the processed material is Steel 1045, Cutting fluid I30 No.
[9] Hamad A H 2016 Effects of different laser pulse regimes (nanosecond, picosecond and femtosecond) on the ablation of materials for production of nanoparticles in liquid solution High Energy and Short Pulse Lasers 305–25
[12] Yan Z and Chrisey D 2012 Pulsed laser ablation in liquid for micro-nanostructure generation Journal of Photochemistry and Photobiology C Photochemistry Reviews 13(3) 204–23
IOP Conference Series: Materials Science and Engineering. 889.
Online since: March 2010
Authors: Kai Huang, Yuan Bing Li, Bing Feng, Qing Shun Wu, Li Yang, Ling Xiao
However, the prerequisites for these good properties of mullite rollers are using high-purity synthetic raw materials and the firing temperatures far beyond 1580℃.
Experimental Procedure Raw Materials.
The chemical compositions of the raw materials were listed in Table 1 and the XRD pattern of the mullite roller waste was shown in Fig.1.
The roller wastes and other powder materials were mixed with the ratio: the molar of Al2O3/SiO2 is 3:2.
Vol. 50(2001), p. 380 [5] Zhong Lianyun, WU bolin, ZHANG Lianmeng: Journal of Wuhan University of Technology Vol.23(2008), p. 134 [6] KONG D, YANG H, WEI S, et al: Ceram.
Online since: May 2013
Authors: Hazizan Md Akil, B.H. Abu Bakar, Mustafa Maher Al-Tayeb, Hanafi Ismail
Introduction Rubber waste is a highly durable material and it is highly resistant to most natural environments.
Materials and methods Materials.
Akil: Caspian Journal of Applied Sciences Research, Vol. 1(11) (2012), p. 23-31, [5] M.M.
Ismail: Advanced Materials Research.
[19] American Society for Testing and Materials (ASTM), 2006.
Online since: March 2017
Authors: Dian Marta Rizkawati, Izak R. Djony, Prihartini Widiyanti
Materials and Method Materials used for the manufacture and testing of the mixture of human amniotic membrane-glutaraldehyde include human amniotic membrane derived from the placenta of the individual, gauze, saline solution 0.9%, glutaraldehyde 25%, distilled water, 2 months old male mice weighing 20-30 grams, and histopathological anatomy test materials.
Based on the results, the value of the ultimate tensile strength was obtained from the sample materials.
European Cells and Materials Vol. 15 pages 88-99
International Journal of Nanomedicine 2013 8 : 4157–4168 [23] Weadock KS, Miller EJ, Keuffel EL, Dunn MG. 1996.
IRANIAN JOURNAL OF OPHTHALMIC RESEARCH 2007; Vol. 2, No. 1
Online since: January 2012
Authors: Liang Tao, Hua Bin Wang
Novel Algorithm for Hand Vein Feature Extraction and Recognition with Biometrics Material Based on DEFD-SIFT Method Hua-bin Wanga, Liang Taob Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education Anhui University, Hefei, Anhui, 230039, China awanghuabin@ahu.edu.cn, btaoliang@ahu.edu.cn Keywords: biometrics, feature extraction, SIFT, hand vein recognition.
Acknowledgement This work is supported by the Key Project of the Natural Science Research in Anhui Provincial Higher Education Instructions under Grant No.
“Distinctive image features from scale-invariant keypoints,” International Journal of Computer Vision, vol. 60, no. 2, pp. 91-110, 2004.