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Online since: August 2014
Authors: Ya Fei Guo, Shi Qiang Wang, Xu Nian Han, Mei Ling Zhao, Tian Long Deng
Phase Equilibria of the Aqueous Systems Containing Magnesium and Borate Ions
Xunian HAN, Meiling ZHAO, Shiqiang WANG a, Yafei GUO, Tianlong DENG
Tianjin Key Laboratory of Marine Resources and Chemistry, College of Marine Science and Engineering at Tianjin University of Science and Technology, Tianjin, 300457, China
aCorresponding author: wangshiqiang@tust.edu.cn
Keywords: Aqueous Systems; Phase Equilibrium; Magnesium; Borate
Abstract.
Conclusion With the growing needs of magnesium-borate, the brine has replaced solid mine and become the main raw material production of magnesium-borate.
Journal of Chemical Engineering of Chinese Universities, 2011 (3): 381–384
Journal of Sichuan University (Engineering Science edition), 2010 (2): 195–198
Conclusion With the growing needs of magnesium-borate, the brine has replaced solid mine and become the main raw material production of magnesium-borate.
Journal of Chemical Engineering of Chinese Universities, 2011 (3): 381–384
Journal of Sichuan University (Engineering Science edition), 2010 (2): 195–198
Online since: December 2012
Authors: Kui Yang Wang, Jin Hua Tang, Chuan Yi Yuan, Guo Qing Li
Real-time Detection of Adhesion Coefficient between Tire and Road
Kuiyang Wang1, a, Jinhua Tang1, b, Guoqing Li1,c, Chuanyi Yuan1, d
1School of Mechanical and Automobile Engineering, Jiangsu Teachers University of Technology, Changzhou 213001, China
awangkuiyang@jstu.edu.cn, btjh@jstu.edu.cn, cgqli@jstu.edu.cn, dyuanchuanyi@jstu.edu.cn
Key words: Brake-by-wire, Adhesion coefficient, Braking force, Real-time detection
Abstract: Adhesion coefficient between tire and road is one of important factors which influence vehicle safety performance.
Introduction Adhesion coefficient is the ratio of limit value of tangential force between ground and tire to vertical load of wheel, which is determined by road material, pavement condition, structure of tire, tread pattern and motion speed.
Automotive Engineering, 2009, 31(6): 520-525
Automotive Engineering, 2006, 28(6): 546-549
Introduction Adhesion coefficient is the ratio of limit value of tangential force between ground and tire to vertical load of wheel, which is determined by road material, pavement condition, structure of tire, tread pattern and motion speed.
Automotive Engineering, 2009, 31(6): 520-525
Automotive Engineering, 2006, 28(6): 546-549
Online since: August 2014
Authors: Bin Liang, Chong Yue, Xu Hui Chen, Bing Wang, Xing Kai Sun
The study of deformation monitoring based on the ground three-dimensional laser scanning technology
Bin Lianga, Chong Yueb*, Xuhui Chen, Bing Wang, Xingkai Sun
Earth Science and Surveying Engineering, China University of Mining and Technology(Beijing), Beijing
a 531009991@qq.com; b* dacongyue@126.com
Key Words: ground three-dimensional laser scanning technology; point cloud data; measurement error; deformation monitoring
Abstracts: This paper mainly uses the ground three-dimensional laser scanning technology to collect the date of two coal mining deformation point cloud.
But it has the following disadvantages: a lot of manpower and material; a longer processing cycle of the observation results; entering the monitoring area which poses a safety hazard and so on.
Coal Engineering, 2006(4): 97 Surface Subsidence
Chinese Journal of Rock Mechanics and Engineering, 2013, 32(11): 2214-2224
But it has the following disadvantages: a lot of manpower and material; a longer processing cycle of the observation results; entering the monitoring area which poses a safety hazard and so on.
Coal Engineering, 2006(4): 97 Surface Subsidence
Chinese Journal of Rock Mechanics and Engineering, 2013, 32(11): 2214-2224
Online since: January 2013
Authors: Yan Peng, Yan Liu
The Simulation Analysis of Tension Leveling for Improving the Shape Defects of Strip
Yan LIU a, and Yan PENG b
National Engineering Research Center for Equipment and Technology of Cold Strip Rolling, Yanshan University, Qinhuangdao, Hebei, 066004, China
aliuyan@ysu.edu.cn, bpengyan@ysu.edu.cn
Keywords: shape defects, tension leveling, residual stress.
Because the process of tension leveling referred many questions of tension leveling and elasticity resume and so on, the deformation is extremely complicated [4~6], how to describe this deformation process exactly and quantificational becomes the key.
Jang: Journal of Plasticity Engineering, Vol. 6 (2009), p. 79 [6] S.
Sung: Journal of Material Processing Technology, Vol. 113 (2001), p. 714 [8] J.
Patula: Journal of Engineering of Industry, Vol. 101 (1979), p. 269 [10] L.
Because the process of tension leveling referred many questions of tension leveling and elasticity resume and so on, the deformation is extremely complicated [4~6], how to describe this deformation process exactly and quantificational becomes the key.
Jang: Journal of Plasticity Engineering, Vol. 6 (2009), p. 79 [6] S.
Sung: Journal of Material Processing Technology, Vol. 113 (2001), p. 714 [8] J.
Patula: Journal of Engineering of Industry, Vol. 101 (1979), p. 269 [10] L.
Online since: August 2014
Authors: Tie Ning Wang, Ning Li, Shuang Shuang Yu
Application of Grey Least Square Support Vector Machine in New Equipment Materiel Demand Prediction
YU Shuangshuang1, a, WANG Tiening1, b, LI Ning2, c
1 Academy of Armored Force Engineering, Beijing, China
2Unit 78416 of PLA, Chongqing, China
alannimi@sina.com, btiesmile@126.com, cmilianta_2008@126.com
Keywords: grey model; LSSVM; new equipment; demand prediction
Abstract.
The inertia weight is a key parameter to control the behavior and performance of PSO.
Table 1 Prediction quantity of material demand Month actural demand GLSSVM LSSVM Neural Network prediction value relative error prediction value relative error prediction value relative error July 65 64 1.54% 61 6.15% 59 9.23% Aug. 62 63 1.61% 65 4.84% 61 1.61% Sept. 84 81 3.57% 78 7.14% 70 16.67% Oct. 77 75 2.60% 70 9.09% 67 12.99% Nov. 52 53 1.92% 54 3.85% 56 7.69% Dec. 44 46 4.54% 47 6.82% 47 6.82% Table 1 shows that the maximum and minimum relative error of Neural Network method in the prediction is 16.67% and 6.82% respectively; the traditional LSSVM method is 9.09% and 3.85%; the GLSSVM method put forward in the paper is only 4.54% and 1.54% respectively, less than the other two methods.
Strategic Equipment Materiel Support Engineering [M].
Value Engineering, 2010, 22: 95-96
The inertia weight is a key parameter to control the behavior and performance of PSO.
Table 1 Prediction quantity of material demand Month actural demand GLSSVM LSSVM Neural Network prediction value relative error prediction value relative error prediction value relative error July 65 64 1.54% 61 6.15% 59 9.23% Aug. 62 63 1.61% 65 4.84% 61 1.61% Sept. 84 81 3.57% 78 7.14% 70 16.67% Oct. 77 75 2.60% 70 9.09% 67 12.99% Nov. 52 53 1.92% 54 3.85% 56 7.69% Dec. 44 46 4.54% 47 6.82% 47 6.82% Table 1 shows that the maximum and minimum relative error of Neural Network method in the prediction is 16.67% and 6.82% respectively; the traditional LSSVM method is 9.09% and 3.85%; the GLSSVM method put forward in the paper is only 4.54% and 1.54% respectively, less than the other two methods.
Strategic Equipment Materiel Support Engineering [M].
Value Engineering, 2010, 22: 95-96
Online since: August 2013
Authors: Hong Nan Wang, Jian Feng Wang, Hua Bo Liu
Application of Buckling-Restrained Braces in Prefabricated Reinforced Concrete Frame
Hongnan Wang 1, a, Huabo Liu2,3,b, and Jianfeng Wang 4,c
1 College of Civil Engineering, Shanghai Normal University, Shanghai, 201418, China
2 Shanghai Research Institute of Building Sciences, Shanghai, 200032, China
3 Shanghai Key Laboratory of New Technology Research on Engineering Structure, Shanghai, 200032, China
4Shandong Urban and Rural Planning and Design Institute, Jinan, Shandong, 250013, China
ahongnanw@163.com, b huaboliu@163.com,c wjf8542031@163.com
Keywords: Buckling-restrained Braces (BRB), Prefabricated Frame Structure, Seismic Evaluation, Strengthening, Time History Analysis.
Material parameters are as follows: steel elastic modulus E is 2. 1×105MPa,Poisson′s ratio ν is 0. 3,density for steel ρis 7 800kg / m3。
References [1] DGJ08-9(2003), Code for Seismic Design of Buildings, Shanghai municipal engineering construction standard.
Material parameters are as follows: steel elastic modulus E is 2. 1×105MPa,Poisson′s ratio ν is 0. 3,density for steel ρis 7 800kg / m3。
References [1] DGJ08-9(2003), Code for Seismic Design of Buildings, Shanghai municipal engineering construction standard.
Online since: June 2011
Authors: Nassir Anjami, Ali Basti
A Comparison between Isothermal and Coupled Thermo-Mechanical FE Analyses of the Ring Rolling Process
Nassir Anjami1, a, Ali Basti1, b
1Department of Mechanical Engineering, The University of Guilan, P.O.
Box 41635-3756, Rasht, Iran anassir.anjami@gmail.com, bbasti@guilan.ac.ir Key words: Ring rolling, Finite element method, Isothermal, Coupled.
This is because of the thermal behavior of the ring material estimated by CTM.
The higher the ring temperature, the lower the yield stress of the ring material and its resistance to deformation (Fig. 7 [1]), thereby making the material plasticity become better and more metals involve in plastic deformation.
Here, the rolls are treated as elastic dies of AISI-H-13 material whose properties are defined in Deform materials mode.
Box 41635-3756, Rasht, Iran anassir.anjami@gmail.com, bbasti@guilan.ac.ir Key words: Ring rolling, Finite element method, Isothermal, Coupled.
This is because of the thermal behavior of the ring material estimated by CTM.
The higher the ring temperature, the lower the yield stress of the ring material and its resistance to deformation (Fig. 7 [1]), thereby making the material plasticity become better and more metals involve in plastic deformation.
Here, the rolls are treated as elastic dies of AISI-H-13 material whose properties are defined in Deform materials mode.
Online since: April 2016
Authors: Yu Jiao, Shu Hong Xie, Guang Chao Wang, Feng Rong Li
Efficiency Enhancement of ZnO Nanocrystalline Dye-sensitized Solar Cells by Post-treatment
Yu Jiao, Guang-chao Wang, Feng-rong Li and Shu-hong Xiea
Key Laboratory of Low Dimensional Materials & Application Technology of Ministry of Education, and School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan
ashxie@xtu.edu.cn
Keyword: DSSCs, ZnO nanosphere,Surface chemical modification,Electrochemical impedance
Abstract.
Lin: Chemistry of Materials, Vol. 22 (2010) No.2, p.579
Cao: Advanced Materials, Vol. 19 (2007) No.18, p.2588
Ho: Materials Letters, Vol. 64 (2010) No.12, p.1372
Bach: Materials Chemistry and Physics, Vol. 144 (2014) No.1, p.114
Lin: Chemistry of Materials, Vol. 22 (2010) No.2, p.579
Cao: Advanced Materials, Vol. 19 (2007) No.18, p.2588
Ho: Materials Letters, Vol. 64 (2010) No.12, p.1372
Bach: Materials Chemistry and Physics, Vol. 144 (2014) No.1, p.114
Online since: December 2012
Authors: Xiao Song Yang, Zhi Ping Gong, Bao Cheng Ding, Shuo Wang
It transports passengers and materials by employing two or more means of transportation.
In fact, this is the key to smooth operation of multimodal transport.
In addition, efforts should be made to develop mobile commanding equipment and to improve the dynamic monitoring capacity on military materials transported.
To improve the efficiency in multimodal transport, it is required that military transportation equipments meet requirements for quick loading and unloading of materials, both at the link between storage and transportation and at the transportation links where materials are transported by different means or tools of transportation.
Integrated Transportation Engineering [M].
In fact, this is the key to smooth operation of multimodal transport.
In addition, efforts should be made to develop mobile commanding equipment and to improve the dynamic monitoring capacity on military materials transported.
To improve the efficiency in multimodal transport, it is required that military transportation equipments meet requirements for quick loading and unloading of materials, both at the link between storage and transportation and at the transportation links where materials are transported by different means or tools of transportation.
Integrated Transportation Engineering [M].
Online since: March 2016
Authors: Xing Fa Ma, Xiao Chun He, Bo Zhang, Ming Jun Gao, Guang Li, Bin Guo, Lu Wei Ma, Lin Bian
NIR (near-infrared) Driven Carbon Nanotube Modified with Dendrimers
Mingjun Gao1, a, Bin Guo1, b, Luwei Ma1, c, Bo Zhang1, d, Xiaochun He1, e,
Lin Bian1, f, Xingfa Ma1, g∗ and Guang Li2, h
1School of Environmental and Material Engineering, Center of Advanced Functional Materials, Yantai University, Yantai 264005 China
2National Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027 China
agmj2188@126.com, b1183876702@qq.com, c837082835@qq.com, dzhangbotianxia@163.com, ehexiaochun76@126.com, f962251823@qq.com, gxingfazju@163.com, gxingfamazju@aliyun.com, hguangli@zju.edu.cn
Keywords: Dendrimers, CNTs, Functional modification, External stimuli response, Photoconductivity response
Abstract.
Modification of CNTs with dendrimers have brought many soft methods for functional and smart materials in environmental and biomedical fields.
From structure to function is one of the directions of dendrimer systems, functional and smart materials of dendrimers or nanocomposites [26-31] are one of the most hot-spots in materials fields.
Experimental Details Materials.
Yamamoto, Carbazole Dendrimers as Solution-Processable Thermally Activated Delayed-Fluorescence Materials, Angew.
Modification of CNTs with dendrimers have brought many soft methods for functional and smart materials in environmental and biomedical fields.
From structure to function is one of the directions of dendrimer systems, functional and smart materials of dendrimers or nanocomposites [26-31] are one of the most hot-spots in materials fields.
Experimental Details Materials.
Yamamoto, Carbazole Dendrimers as Solution-Processable Thermally Activated Delayed-Fluorescence Materials, Angew.