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Online since: September 2013
Authors: Yong Zhi Zhu
Raw materials selection.Bamboo pulp silver fiber: 1.2 dtex × 38 mm, 2.33 cN/dtex of dry strength, 1.28 cN/dtex of wet strength, 17.3% of the elongation at break. 329 Xinjiang cotton: the main fiber length is 29.2 mm, the short staple rate is 13.4% and the micronaire value is 4.1, the trash content is 1.4%, the single fiber strength is 3.4 cN, and the moisture regain is 7.8%.
Advanced Materials Research, Part3. 117-121, 2012
Journal of Textile.2009, 37 (5): 34-37
Shandong Textile Science & Technology. 2004, 45(4):20-23.
Online since: September 2016
Authors: L.V. Radionova, Yu.M. Subbotina
Materials and Methods The following assortment was selected as an experiment scope: - hot-dip galvanized rolled products of 08ps and DX52D coated steels (CS) [13-16]; - hot-dip galvanized rolled products of low-carbon high-strength automotive steels intended for cold-working [17]: 1) IF steel group (interstitial free steel) consists of steels without free nitrogen and carbon interstitial atoms, which composition is controlled to achieve improved r- and n-values.
Saphonov, Steel Strain Aging during Continuous Drawing, Technologies and Material Science: Inter-university Edited Volume. (2003) 263-267
Subbotina, Study of Aging Cold-Rolled and Hot-Dip Galvanized Flat Products, Machine Building: on line scientific journal. 2 (2015) 47-54
[19] WSS-A341-A5, Dent-Resistant Steel Sheet, Specification for Machine Building Material, 2006
Online since: September 2024
Authors: Jorge I. Canales-Verdial
Advanced Materials Technologies, 7(2), 2100144
Review of memristor devices in neuromorphic computing: materials sciences and device challenges.
Journal of Physics D: Applied Physics, 51(50), 503002
Online since: October 2005
Authors: H. Chang, Tsing Tshih Tsung, J.Y. Sun, Hong Ming Lin, Liang Chia Chen
., Sec. 3, Taipei, 106, Taiwan, China 3 Department of Materials Engineering, Tatung University, 40 Chungshan N.
Lin: 6th International Conference on Nanostructured Materials, Orlando, Florida, Vol. 1 (2002), PC3.20
Sem: Journal of Aerosol Science, Vol. 29 (1998), p. 497
Online since: March 2015
Authors: Run Sheng Tang, Rui Hua Xu, Qi Chao Zhang
Optical performance comparison of six ACPCs for concentrating radiation on all-glass evacuated solar tubes Ruihua Xu, Qichao Zhang, Runsheng Tang* Education Ministry Key Laboratory of Advanced Technology and Preparation for Renewable Energy Materials, Yunnan Normal University, Kunming 650092, PR China Email: kingtang01@126.com *To whom all correspondences should be addressed Keywords: Asymmetric compound parabolic concentrator; All-glass evacuated solar tube; Optical comparison; Theoretical analysis Abstract: In this work, six asymmetric compound parabolic concentrators (ACPC) were designed for concentrating radiation on all-glass evacuated solar tubes (EST).
However, the use of reflective materials in ACPC-1 is much more as compared with ACPC-4, therefore, ACPC-4 is regarded as to be an optimal and cost-effective solution.
Acknowledgement This work is partial fulfillment of funded research program 51466016, financially supported by National Natural Science Foundation of China.
Tang: Chinese Journal of Lasers, Vol.41(2014), s116002
Online since: June 2013
Authors: Dana Madalina Pohrib, Irina Lungu, Anghel Stanciu
The structure of wind turbine towers Wind turbine towers are structures with special functional demands, driven by external forces predominantly determined by the climatic conditions of their location and are made of high performance construction materials.
Lattice towers The tower structures are made of lattice, dimensioned based on spatial calculation so as to obtain the required resistance and structural rigidity with a minimal quantity of material.
Compared to the steel tubular towers, lattice towers use less material, but cannot reach the height of tubular towers, which is why they cannot be used for building high power wind turbines.
„Al.I.Cuza” Iaşi, 246p [6] Madalina Dana Pohrib, Doru-Toader Juravle, Lilian Niacsu, Adrian Ursu, Anghel Stanciu, Dorel Platica: Paleogeography of the Chersonian to Meotian in the north of Fălciu Hills (Moldavian Platform) based of sedimentological data, Carpathian Journal of Earth and Environmental Sciences, ISSN Printed 1842-4090, ISSN Online 1844 – 489X , vol.7., No.2, mai 2012, pp.23-36 (14 pagini).
Online since: June 2014
Authors: Ming Xing Guo, Xiao Feng Wang, Ling Yong Cao, Li Cui, Ji Shan Zhang, Lin Zhong Zhuang
Zhuang1,f 1State Key Laboratory for Advanced Metals and Materials, University of Science and Technology Beijing, Beijing 100083, China abatigoalshyyunshui@126.com, bmingxingguo@skl.ustb.edu.cn, ccaolingyong@gmail.com, dlicuiustb@gmail.com, ezhangjs@skl.ustb.edu.cn, flinzhongzhuang@yahoo.com Keywords: Al-Mg-Si-Cu alloy, Rolling, Intermediate annealing, Recrystallization, Texture.
According to some reports, the texture of cast material is almost random and does not change during the following homogenization [2].
And many research works revealed that the shear texture components are normally affected by friction, rolling geometry factor which is defined as the ratio of projected length of contact between the roll and material to the mean thickness of the sample (l/d), draught, work-hardening coefficient and yield strength [8,9,15].
Xiao, Influence of lubricants on deformation textures in high purity Al, The Chinese Journal of Nonferrous Metals. 11 (2001) 785-790
Online since: July 2019
Authors: Bambang Sudarmanta, Sampurno Sampurno, Satriyo Endra Gemilang, Ary Bachtiar Krisna Putra, Bambang Arip Dwiyantoro
Experimental Method and Procedures The feed material is a municipal solid waste at Surabaya, Indonesia and characterized by ultimate and proximate analysis as presented in Table 1.
The proximate and ultimate analysis of municipal solid waste Type Parameters Unit Value Ultimate Analysis Component C % wt 39.83 H % wt 6.70 O % wt 38.11 N % wt 0.35 S % wt 0.14 Proximate Analysis Moisture content % wt 9.82 Ash content % wt 14.71 Volatile matter % wt 65.78 Fixed carbon % wt 9.69 HHV kJ/kg 13,843 The multi-stage gasification for electric generation system consists of a raw material feeding system by screw conveyor, downdraft gasification reactor, syn gas refinery unit, induced draft fan, filtering unit, venturi mixer system, dual fuel diesel engine generator set, and system control.
[4] Sudarmanta, B., Gafur, A., Saleh, A.R., Dwiyantoro,B.A and Sampurno “The effect of the two-stage gasifying agent on biomass downdraft gasification to the gasifier performance”, AIP Conference Proceedings. 1983, 020036 (2018); AIP Publishing [5] Guo, F; Dong, Yuping; Dong, Lei; Gu, Chenlong (2014), Effect of Design and Operating Parameters on The Gasification Process of Biomass in A Downdraft Fixed Bed - An Experimental Study, International Journal of Hydrogen Energy 39 (2014) 5625e5633
[10]Saleh, A.R., Sudarmanta, B. & Ependi, D.R.”Numerical study of gasification pelletized municipal solid waste using multi-stage air inlet downdraft gasifier“, IOP Conference Series: Materials Science and Engineering, 2018.
Online since: August 2015
Authors: V. Venkatesan, N. Nallusamy
This process uses high water activity to decompose biomass materials into smaller molecular materials with higher energy density [11].
Mohan Kumar, Combustion analysis of algal oil methyl ester in a direct injection compression ignition engine, Journal of Engg.
Science and Technology 8 (2013) 77-92
Online since: January 2011
Authors: Xin Jie Yu, Kang Sheng Liu, Yong He, Di Wu
Color and Texture Classification of Green Tea Using Least Squares Support Vector Machine (LSSVM) Xin-Jie YuP1, 2P, Kang-Sheng LiuP2 P, Yong HeP3,aP and Di WuP3 P P 1P Ningbo Institute of Technology, Zhejiang University, Ningbo 315100, China 2P Department of Mathematics, Zhejiang University, Hangzhou 310029, China PP3P College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China PaP yhe@zju.edu.cn Keywords: Color analysis; Texture analysis; Classification; Grey level co-occurrence method; Least squares support vector machine; Green tea Abstract: This work presented an approach for color and texture classification of green tea using Least Squares Support Vector Machine (LSSVM).
Materials and Measurement Category 1 Category 2 Category 3 Category 4 Category 5 Category 6 Fig. 1 RGB images of green tea Six brands of green tea were used in this work.
All green tea materials were provided by the local tea company in Hangzhou, Zhejiang, China.
[4] Di Wu, Haiqing Yang, Xiaojing Chen: Journal of Food Engineering.
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