Sort by:
Publication Type:
Open access:
Publication Date:
Periodicals:
Search results
Online since: June 2012
Authors: Xiao Yan Zuo, Chi Zhang, Cheng Jun Zhang, Xiao Guang Wu
The Application of Flash Memory in Computerized Jacquard Controller
Zhang Chengjun1, a, Zuo Xiaoyan2, b, Zhang Chi1, c, Wu Xiaoguang1, d
1 School of Mechanical and Electrical Engineering, Wuhan Textile University, Wuhan, China
2 College of Mechanical Engineering, Donghua University, Shanghai, China
a zchengj_wuse@163.com, bzuoxyan@sina.com, cbetazhang13@sina.com, d2006wist@163.com
Keywords: computerized jacquard; Flash; stm32; address mapping; pattern data
Abstract.
FRAM:FRAM uses polarization of ferroelectric materials to store data, high integration, read and write speed, short cycle, but the read operation is destructive, it will affect life.
Key technology in embedded control system of jacquard knitting. 2010 International Conference on Mechatronics and Automation (ICMA), 2010:p.129-132.
FRAM:FRAM uses polarization of ferroelectric materials to store data, high integration, read and write speed, short cycle, but the read operation is destructive, it will affect life.
Key technology in embedded control system of jacquard knitting. 2010 International Conference on Mechatronics and Automation (ICMA), 2010:p.129-132.
Online since: June 2009
Authors: Xiao Hong Pan, Ya Yue Pan, Shui Ying Zheng
Numerical Study of Thickness Distribution of Stretch-Blow Bottles for
Defects Prediction
Pan Yayue1, a, Zheng Shuiying2,b and Pan Xiaohong1,c
1
Institute of Advanced Manufacture Engineering, Zhejiang University, Hangzhou 310027, China
2
Institute of Chemical Machinery, Zhejiang University, Hangzhou 310027, China
a
panyayue@126.com, bzhengshuiying@zju.edu.cn, cpan_xh@zju.edu.cn
Keywords: Stretch blow molding process, Simulation, Thickness distribution, Prediction of defects
Abstract.
Unfortunately, the numerical studies and experiments were all limited to study the molding process or the material constitutive model, and had no link with the defects in the bottles.
The wall thickness distribution is a key factor in determining the properties of bottles.
The bottles and molds Mathematical Model Stretch blow molding of PET bottles is a complicated process involving complex geometries, nonlinear time and temperature dependent material, large strain, and complex contact conditions.
Tanner: Engineering Rheology (Oxford University Press, New York 1985)
Unfortunately, the numerical studies and experiments were all limited to study the molding process or the material constitutive model, and had no link with the defects in the bottles.
The wall thickness distribution is a key factor in determining the properties of bottles.
The bottles and molds Mathematical Model Stretch blow molding of PET bottles is a complicated process involving complex geometries, nonlinear time and temperature dependent material, large strain, and complex contact conditions.
Tanner: Engineering Rheology (Oxford University Press, New York 1985)
Online since: July 2011
Authors: Min Zhang, Rui Xiang Wang, Jiang Feng Lou
Influence of nano-refrigeration-oil on saturated vapor pressure of R22
Lou Jiangfeng a, Wang Ruixiang b, Zhang Min c
Beijing University of Civil Engineering and Architecture, 1# Zhanlan Road, Beijing, 100044, China
aloujiangfeng1985@126.com, bwangruixiang@bucea.edu.cn, czhangmin_689@163.com
Keywords: Nano-refrigeration-oil; R22; Saturated vapor pressure; Correlation
Abstract.
Nano-NiFe2O4, which is a soft magnetic ferrite material, could be disperesd in the refrigeration oil steadily when adopting suitable surfactant and dispersing techniques [6].
Experimental section Experiment material.
Acknowledgments The investigated work of this paper was funded by the Beijing Natural Science Foundation of key projects (Grant No.
Zheng, Dispersivity and Stability of NiFe2O4 Nanoparticles in SUNISO 3GS Refrigeration Oil, J. of Beijing University of Civil Engineering and Architecture, 25 (2009) 14-18 [7] M.A.
Nano-NiFe2O4, which is a soft magnetic ferrite material, could be disperesd in the refrigeration oil steadily when adopting suitable surfactant and dispersing techniques [6].
Experimental section Experiment material.
Acknowledgments The investigated work of this paper was funded by the Beijing Natural Science Foundation of key projects (Grant No.
Zheng, Dispersivity and Stability of NiFe2O4 Nanoparticles in SUNISO 3GS Refrigeration Oil, J. of Beijing University of Civil Engineering and Architecture, 25 (2009) 14-18 [7] M.A.
Online since: September 2012
Authors: Ning Su Luo
The effect of support platform motion on the strength of the blades and shafting is a key issue to be investigated for designing the wind turbine and support platform [9].
Ocean Engineering (2001)
Offshore Mechanics and Arctic Engineering (1999)
Workshop on Advanced Smart Materials and Smart Structures Technology, Dalian, China (2011)
Ocean Engineering (2001)
Offshore Mechanics and Arctic Engineering (1999)
Workshop on Advanced Smart Materials and Smart Structures Technology, Dalian, China (2011)
Online since: May 2011
Authors: Tomoyuki Kakeshita, Takashi Fukuda, Tomoyuki Terai, Hidefumi Maeda
Stress-Temperature Phase Diagram of Ni2MnGa and Structural Relations between Its Constituent Phases
Takashi Fukuda a, Tomoyuki Terai, Hidefumi Maeda,
and Tomoyuki Kakeshita
Department of Materials Science and Engineering, Graduate School of Engineering,
Osaka University, 2-1, Yamada-oka, Suita, Osaka 565-0871, Japan
afukuda@mat.eng.osaka-u.ac.jp
Key words: Stress-induced transformation, ferromagnetic shape memory alloy, single crystal, incommensurate structure
Abstract.
Online since: December 2013
Authors: Juan Chen, Dian Liang Fan, Xiao Ye Qi, De Yi Wang, Jia Li
But how to pick up the complete lifetime information from the failure data is the key problem, for nearly all the test specimen in the step-stress test experience cumulative failure [1-5].
Fatigue and Fracture of Engineering Materials and Structures, Vol.11 No.1 (1988), p. 2-6 [5] W Nelson: Accelerated Life Testing-Step-Stress Models and Data Analysis.
Research on Double-Crossed Step-Stress Accelerated Life Testing for Pneumatic Cylinder, Master Dissertation, School of Automation Science and Electronical Engineering, Beihang University, Beijing, China (2011) [9] H Chemoff: Optimal Accelerated Life Designs for Estimation.
Fatigue and Fracture of Engineering Materials and Structures, Vol.11 No.1 (1988), p. 2-6 [5] W Nelson: Accelerated Life Testing-Step-Stress Models and Data Analysis.
Research on Double-Crossed Step-Stress Accelerated Life Testing for Pneumatic Cylinder, Master Dissertation, School of Automation Science and Electronical Engineering, Beihang University, Beijing, China (2011) [9] H Chemoff: Optimal Accelerated Life Designs for Estimation.
Online since: December 2014
Authors: Luis Mayor Gonzalez, António Santos Silva, Said Jalali
Results comparison of alkali-reactivity tests for same aggregates, using a kinetic model
GONZALEZ, Luis Mayor 1a*, SANTOS SILVA, António 2b, JALALI, Said 1c
1 Department of Civil Engineering, University of Minho, Guimarães, Portugal
2 Materials Department, National Laboratory for Civil Engineering, Lisboa, Portugal
a lmgonzalez@mail.telepac.pt,b ssilva@lnec.pt, c said@civil.uminho.pt
* Correspondence to: lmgonzalez@mail.telepac.pt
Keywords: Expansion tests, reactivity, alkali-silica reaction, aggregates
Abstract.
[6] Wigum, B.J., Pedersen, LT, Grelk, B, Lindgard, J.., “State-of-the art report: Key parameters influencing the alkali aggregate reaction”, Report 2.1, SINTEF, 2006
[6] Wigum, B.J., Pedersen, LT, Grelk, B, Lindgard, J.., “State-of-the art report: Key parameters influencing the alkali aggregate reaction”, Report 2.1, SINTEF, 2006
Online since: January 2013
Authors: Zai Feng Shi, Guang Ying Chen, Xiao Peng Zhang, Xiao Wei Qi
Preservation of Fresh Areca Nuts With Several Herbal Medicine Extracts
Shi Zai-fenga, Chen Guang-yingb, Zhang Xiao-pengc, Qi Xiao-weid
College of Chemistry & Chemical Engineering, Hainan Normal University, Haikou,.China 571158
aemail: zaifengshi@163.com, bemail: chgying123@163.com, cemail: zxp_inorganic@126.com, demail: qixw@163.com
Keywords: Areca nuts; preservation; Chinese herbal medicine; extracts.
Materials and Method Extracts Preparation Leaves of four tropical plants were used to take extracts by soaked in solutions.
The key is that whether the treatment has antibacterial ability or not.
Food Engineering 78(2007), 225-229.
Materials and Method Extracts Preparation Leaves of four tropical plants were used to take extracts by soaked in solutions.
The key is that whether the treatment has antibacterial ability or not.
Food Engineering 78(2007), 225-229.
Online since: October 2011
Authors: John Wang, Yu Zhang
Nanostructured Mesoporous Thick Films of Titania for Dye-Sensitized Solar Cells
John Wang, and Yu Zhang
Department of Materials Science and Engineering, National University of Singapore
Singapore 117576
e-mail: msewangj@nus.edu.sg
Keywords-Dye-sensitized solar cells; supramolecular templating; mesoporous; titania; morphology
Abstract—For energy harvesting, such as in dye-sensitized solar cells, thick films of nanostructured mesoporous titania are inevitably required.
The key component of DSSCs is the wide bandgap semiconductor as the photoanode that is required to possess large surface area for high dye loading and controlled nanostructure for efficient electron transport.
Grätzel, “Engineering of Efficient Panchromatic Sensitizers for Nanocrystalline TiO2-Based Solar Cells,” J.
The key component of DSSCs is the wide bandgap semiconductor as the photoanode that is required to possess large surface area for high dye loading and controlled nanostructure for efficient electron transport.
Grätzel, “Engineering of Efficient Panchromatic Sensitizers for Nanocrystalline TiO2-Based Solar Cells,” J.
Online since: February 2012
Authors: Chang Sheng Wang, Hai Xiong Wang, Ji Bin Li, Hai Jun Liu
Research on Aluminum Plate Reversible Hot-rolling Mathematical Model and Schedule
Wang HaiXiong1,a, Li JiBin1,2,b, Liu HaiJun2,c, Wang ChangSheng2,d
1Key Laboratory for the Advanced Optical Manufacturing Technoloy of GuangDong, China
2mechatronics and Control Engineering College of ShenZhen University, Shenzhen, China
awhx131@126.com, blijb@szu.edu.cn, cliuhaijun@163.com,dwangchangsheng1985@163.com
Keywords: rolling schedule, mathematical model, two-roll reversible hot-rolling, strip rolling.
Many scholars and engineering technical personnel have paid more attention to the optimization of rolling schedule with the development of computer technology[1,2,3,4], and carried out many works, however, these works are only for steel rolling, and rolling process conditions of steel plate and aluminum plate is quite different, so these are not practical for hot-rolling production of aluminum plate.
The amount of width spread may be negligible, so the rolling force can be calculated with the Sims model [5,6]: (1) In the equation: is contact arc length, plate width, σaverage metal flow stress, force geometry factor; tension coefficient. 2.2 Rolling temperature model Rolling temperature not only affects rolling force, but also plays a decisive role on the internal organizational structure of the plate material, so temperature control of rolling process is very important.
In this figure, HFA and HFC is the last thickness when replace the maximum pass with the minimum pass , HIA and HIC is the exit thickness of intermediate pass when replace the maximum pass with the minimum pass , The key issue of this algorithm is to determine the HID point with the ordinate of A and C point.
Material is 1100 aluminum, and its size is 6000mm×1050mm×320mm.
Many scholars and engineering technical personnel have paid more attention to the optimization of rolling schedule with the development of computer technology[1,2,3,4], and carried out many works, however, these works are only for steel rolling, and rolling process conditions of steel plate and aluminum plate is quite different, so these are not practical for hot-rolling production of aluminum plate.
The amount of width spread may be negligible, so the rolling force can be calculated with the Sims model [5,6]: (1) In the equation: is contact arc length, plate width, σaverage metal flow stress, force geometry factor; tension coefficient. 2.2 Rolling temperature model Rolling temperature not only affects rolling force, but also plays a decisive role on the internal organizational structure of the plate material, so temperature control of rolling process is very important.
In this figure, HFA and HFC is the last thickness when replace the maximum pass with the minimum pass , HIA and HIC is the exit thickness of intermediate pass when replace the maximum pass with the minimum pass , The key issue of this algorithm is to determine the HID point with the ordinate of A and C point.
Material is 1100 aluminum, and its size is 6000mm×1050mm×320mm.