Search Options

Sort by:

Sort search results by

Publication Type:

Publication Type filter

Open access:

Publication Date:

Periodicals:

Periodicals filter

Search results

Online since: May 2013
Authors: Yu Lun Chi, Hao Lin Li, Xian Kun Lin, Hao Yang Cao
GRINDING PARAMETERS OPTIMIZATION OF STAINLESS STEEL SURFACE BASED ON GREY RELATIONAL ANALYSIS Yulun Chi1,a, Haolin Li1,b , Haoyang Cao1,c and Xiankun Lin1,d 1Mechanical Engineering College, University of Shanghai for Science and Technology, Shanghai 200093,China.
The hardness of workpiece material was measured to be 45 HRC.
Acknowledgement The paper is supported by National Science and Technology major projects (2011ZX04003-022).
Radhakrishnan, Analysis of process parameters in surface grinding with graphite as lubricant based of the Taguchi method, Journal of Materials Processing Technology ,141 (1) (2003) 51–59
Online since: January 2012
Authors: Wan Zhong Yin, Ming Bao Liu, Peng Jie Tian, Hao Wu
This paper addressed the problem of some ore body of talc containing asbestos in Liaoning Kuan Dian, investigated the effects of phytic acid on talc flotation and proposed a new flowsheet, reducing impurities content, changing the low grade talc raw material for the high-grade talc.
Flotation products meet the demand of first grade talc raw materials.
Acknowledgements This work has been supported by the Natural Science Foundation of China (Grant No.51074037).
Vol.25 (2006), p.629-633 [3] Dong Bai: Journal of Shandong Normal of University (Natural Science).
Online since: November 2013
Authors: Y. L. Ma, Gui Zhen Fang, Shu Jun Li
L.1, a, Fang Guizhen2, b and Li Shujun3, c 1, 2, 3 Material Science and Engineering College, Northeast Forestry University, Harbin, China, 150040 amyl219@126.com, bfanggz_0@163.com, clishujun_1999@126.com Keywords: Photo-degradation, Oxidation, Alkali Lignin Abstract.
Experiments Materials.
Acknowledgments The authors appreciate the financial support by Department of education of Heilongjiang province science and technology research project (12513022).
Journal of Catalysis vol 266(2) (2009), p.199-206 [5] D.
Online since: October 2011
Authors: Hua Cheng, Chuan Xin Rong, Ming Jing Li
Finite-element Calculation for Thermal Stresses of Concrete Lining in Deep Alluvium Freezing Shaft Mingjing Li1, a, Hua Cheng2,b Chuanxin Rong3,c 1 College of Energy and Safety Engineering, Anhui University of Science and Technology, Huainan Anhui 232001, China 2 Anhui University, Hefei Anhui 230011, China 3 College of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan Anhui 232001, China almj201007@126.com, bhcheng@aust.edu.cn, c rongcx@mail.ustc.edu.cn Keywords: Freezing shaft lining, Thermal stresses, Shaft lining temperature, Concrete.
Fig.1 Calculating model Fig.2 Finite element model Thermal parameters of materials are listed in table.1 which arranges form experimental data.
Fig.6 Radial stresses-age curves Fig.7 Hoop stresses-age curves Fig.8 Radial strain-age curves Fig.9 Hoop strain-age curves Owing to concrete is a typical fragile material, the focus of thermal stresses analysis in shaft lining are tension stress and tension strain.
Vol.5 (1976), p.168 [4] Tu Hsiang-Te: Experimental Mechanics.vol.12 (1989), p.364 [5] Bofang Zhu: Thermal Stresses and Temperature Control of Mass Concrete (China Electric Power Press, In Chinese 1999) [6] Jianrong Zhang and Zhouqiu Liu: China Civil Engineering Journal.vol.9 (2006), p.39
Online since: July 2014
Authors: Ming Gang Xu, Chun Chao Chen, Hong Xing Qiu
The material was fir which was common in Chinese ancient timber structures, and actual index of material performance in specimens was shown in table 1.
Table 1 Actual index of material performance EL ER ET GLR GLT GRT fc,L fc,R fc,T μ 13213 1032 520 1273 617 218 27.54 3.30 2.46 0.26 Noted: L—vertical, T—tangential, R—radial, RT—transverse section, LR—edge grain, LT—tangential section.
Acknowledgements This work was financially supported by the twelfth five year national science and technology support program (2012BAJ14B02) and Key Laboratory of Urban and Architectural Heritage Conservation (Southeast University), Ministry of Education, China (KLUAHC 1306).
China Civil Engineering Journal, 2011, 44(1): 50-57 (in Chinese) [6] Wang Junxin.
Kunming: Kunming University of Science & Technology, 2008 (in Chinese) [7] XU Minggang.
Online since: December 2014
Authors: Sheng Wang Li, Zhen Liu, Xin Duan
The Application of Adaptive BP Neural Predictive Fuzzy Control in Cement Decomposing Furnace Temperature Control System Li Shengwang1, a, Duan Xin1,b and Liu Zhen2,c 1 Dept. of Information Science and Engineering, Hebei University Of Science and Technology, Shijiazhuang, China 2 Handan Construction Branch of Sinoma International Engineering Co., Handan, China alsw618@126.com,b duanxin62@126.com, c lzh@cbmhc.com Keywords: decomposing furnace, adaptive BP neural network, predictive control, fuzzy control Abstract.
And the effective decomposing of carbonate in the raw material need a relatively stable temperature.
If the temperature is too high, condensation in the volatile components of solid phase decomposing furnace will be beginning to melt in the surface of raw material, cause preheater plugging.
So we control goal is tertiary air, raw material and coal powder.
[4] Feng Xiaolu, Qin Laifeng, Cen kefa, “Dynamic optimizing method of fuzzy controller based on genetic algorithm,” Journal of Zhejiang University, vol.41, pp.462-465, March 2007
Online since: July 2014
Authors: Bing Liang, Jin Rui Zhang, Miao Miao Han, Li Bing Zhao
Test materials and test methods 1.1 Preparation and properties of the sample Hematite ore sample used in the test taken from Hebei LuanXian Sijiaying iron ore plant.
A lot of experiments and Optimization testing in the early, to determine the best ratio of steel ball medium in the grinding process is Φ31mm: Φ26mm: Φ19mm=12.18%: 26.00%: 62.98%, material ball ratio is 1.20, the grinding time is 3min.
(serial number: Z201301) Supported by Hebei Province Natural Science Fund project.
Journal of Wuhan University of Science and Technology, 2011(2): 93-96.
Online since: April 2008
Authors: Wen Yan Wang, Jin Ling Hou, Jing Pei Xie, Ji Wen Li, Ai Qin Wang, Hui Min Zhang
The computer solidification simulation of oceangoing freighter rudder horn Jingpei XIE1,a, Aiqin WANG 1, Wenyan WANG 1 , Jiwen LI 1, Huimin ZhANG1, Jinling HOU 1 1 School of Material Science and Engineering, Henan University of Science and Technology, Luoyang, 471003, China a email: xiejp@mail.haust.edu.cn Key Words: Oceangoing freighter; Rudder horn; Casting defects; Solidification simulation Abstract: The numerical solidification simulation for oceangoing freighter rudder horn steel casting has been made and the location and reasons forming casting defects have been predicted by HUAZHU CAE software.
Solidification simulation of rudder horn 2.1 Three dimensional modeling of the rudder horn This rudder horn weight is 82 ton, the chemical composition of the material: C≤0.23%; Si≤0.60%; Mn≤0.80%; P≤0.04%; S≤0.04%; Cu≤0.30%; Ni≤0.50%; Mo≤ 0.20%; Cr≤0.20%.
°C-1 0.318 0.0021 0.0117 0.008 Tab 2 interfacial parameters of the temperature field Material Casting Mould Riser sleeve Iron chill Casting / 0.023 0.001 0.08 Mould 0.023 / 0.001 0.08 Riser sleeve 0.001 0.001 / 0.001 Iron chill 0.08 0.08 0.001 / Temperature distribution of each unit will be memorized per 60s during calculation process.
Vol. 11 (1995), p. 312 [4] D M McElvogue: The International Journal of Nautical Archaeology Vol. 27 (1998), p. 24 [5] X S Zheng, Y H Wang, Z X Li: Sci. & Tech. of Adv.
Online since: August 2011
Authors: Hong Yan Zhang, Li Fang Zhang, Li Li Wang, Jin Hua Wang
Experiments Raw materials and Equipments Chromium nitrate (Cr(NO3)3•9H2O), tetraethyl orthosilicate (Si(OC2H5)4), isopropyl alcohol ((CH3) 2CHOH), anhydrous ethyl alcohol (CH3CH2OH), aqua ammonia (NH3 • H2O).
Chromic hydroxide precipitation from the solution is the green amorphous material, its composition is Cr2O3 • xH2O.
Journal of hebei normal university (natural science edition), 2008,32 (1) : 85 ~ 88
NanJing: Nanjing University of Science and Technology, 2004:21.
Online since: January 2012
Authors: Wei Xiao Tang, Qing Hua Song, Hong Liang Zhou
In addition, the bending moment M and the shear force V are related to α and w by the following formulas (2) (3) where G is the shear modulus of elasticity of the material of beam; is the Timoshenko’s shear correction factor.
Acknowledgments The authors are grateful to the ‘973’ National Basic Research Program of China for supporting this work under grant no. 2009CB724405, the Program of Science and Technology Development of Shandong province for supporting this work under grant no 2011GGX10328, the Science Foundation of Key Laboratory of High-efficiency and Clean Mechanical Manufacture at Shandong University, Ministry of Education.
Yi and et al.: Journal of Materials Processing Technology, Vol. 138 (2003),pp.379–384