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Online since: November 2011
Authors: Chun Mei Lu, Sheng Li Niu, Kui Hua Han
An Experimental Study on Nitric Oxide Reduction Through Coal-Biomass Blend Reburning
Niu Shengli, Han Kuihua, Lu Chunmei﹡
National Engineering Laboratory for Coal-Burning Pollutants Emission Reduction,
Shandong University, Jinan 250061, Shandong Province, China,
﹡corresponding author, E-mail: cml@sdu.edu.cn,
Keywords.
Theoretically, material which gives birth to hydrocarbon product could be used as reburning fuel and efficiency of 50-70% could be achieved.
The key operating parameters influencing on NO reduction efficiency (η) includes the excess air ratio (α), temperature (T), reburning fuel fraction (Rff), biomass percentage of the blend (γ), residence time (τ) and initial NO concentration.
Industrial and engineering chemistry research, 1992, 31(6):1477-1490.
Theoretically, material which gives birth to hydrocarbon product could be used as reburning fuel and efficiency of 50-70% could be achieved.
The key operating parameters influencing on NO reduction efficiency (η) includes the excess air ratio (α), temperature (T), reburning fuel fraction (Rff), biomass percentage of the blend (γ), residence time (τ) and initial NO concentration.
Industrial and engineering chemistry research, 1992, 31(6):1477-1490.
Online since: December 2010
Authors: Heng Bin Zheng, Xiao Lin Yu, Jun Liang Hu, Quan Sheng Yan
Parameter Sensitivity Analysis of Vertical Deflection
for Long-Span Continuous Rigid-frame Bridge
Hengbin Zheng1,a , Xiaolin Yu1,b , Junliang Hu 1,c and Quansheng Yan1,d
1School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, Guangdong, 510640, China
ahbzh1984@126.com, bxlyu1@scut.edu.cn, chujunliang1@126.com, dcvqshyan@scut.edu.cn.
This problem is related to many factors such as material, environment and age etc.
So it can be found that the bridge design and construction process is the key course to control long-term deflection.
Robertson: Engineering Structures, Vol.27, 1820-1827, 2005
This problem is related to many factors such as material, environment and age etc.
So it can be found that the bridge design and construction process is the key course to control long-term deflection.
Robertson: Engineering Structures, Vol.27, 1820-1827, 2005
Online since: December 2014
Authors: Ru Deng Luo, Jie Hui Hu, Hai Long Wang
Deformation and Stress Analysis of An Asymmetric Single Tower Cable-stayed Bridge on High Speed Railway in Swiveling Process
Rudeng LUO 1,a, Hailong WANG 1,b, Jiehui HU 1,c
1School of Civil Engineering,CentralSouth University,Changsha 410075,Hunan,China
aluorudeng@163.net, a344022791@qq.com, ckoketsuki@qq.com
Key words: Asymmetric single tower; Swivel cable-stayed bridge;Deformation; Stress analysis
Abstract: In this paper, we have studied a bridge with span-arrangement 112m+80m+32m,which is a three-span single-tower double cable plane swivel cable-stayed bridge.
Figure 1 Asymmetric single tower Figure 2 Asymmetric single tower cable-stayed cable-stayed bridge elevation bridge space finite element model 2.2 Calculated Parameters Material properties Using C50 concrete adopts main girder, C55 concrete adopts main tower.
Engineering Structures, 1999, 21(8): 737~755
Figure 1 Asymmetric single tower Figure 2 Asymmetric single tower cable-stayed cable-stayed bridge elevation bridge space finite element model 2.2 Calculated Parameters Material properties Using C50 concrete adopts main girder, C55 concrete adopts main tower.
Engineering Structures, 1999, 21(8): 737~755
Online since: July 2013
Authors: Xian Lun Wang, Yu Xia Cui, Hua Jie Wang, Yang Li
Identification of Location and Orientation for Terminal Blocks based on Template Matching
Cui Yuxia1,a,Li Yang1, b ,Wang Huajie1,c,Wang Xianlun1,d
1 Shandong Provincial Key Laboratory of Polymer Material Advanced Manufacturing Technology, Qingdao University of Science & Technology
Song ling Road No.99, Qingdao, Shandong Province, 266061, P.
References [1] ShengYong Chen, Sheng Liu: Computer Vision Technology Based on OpenCV (Science Press, China 2008) [2] Min Tan, De Xu, Shuo Wang, etc: Advanced Robot Control (Higher Education Press, China 2007) [3] MaoHain Li, BingRong Hong, RongHua Luo,etc: submitted to ROBOT (2007),p.140 [4] Ke Wang, Yan Zhuang, Wei Wang,etc: submitted to Electric Machines & Control Application (2005),p.140 [5] XiaoMin Liu, YueMeng Cui: submitted to Journal of Tianjin Professional College (2007),p.75 [6] MiaoLiang Zhu: Computer Vision (Zhejiang University Press, China 1997) [7] HongMei Wang, Ke Zhang, YanJun Li: submitted to Computer Engineering and Applications (2004),p.42 [8] NanNing Zheng: Computer Vision and Pattern Recognition (National Defence Industry Press, China 1998) [9] YuJin Zhang: Image Engineering (Tsinghua University Press, China 2007) [10] HongLin Zhang: Typical Algorithms and Realization about Processing Digital Image (People's Posts and Telecommunications Press, China 2008)
References [1] ShengYong Chen, Sheng Liu: Computer Vision Technology Based on OpenCV (Science Press, China 2008) [2] Min Tan, De Xu, Shuo Wang, etc: Advanced Robot Control (Higher Education Press, China 2007) [3] MaoHain Li, BingRong Hong, RongHua Luo,etc: submitted to ROBOT (2007),p.140 [4] Ke Wang, Yan Zhuang, Wei Wang,etc: submitted to Electric Machines & Control Application (2005),p.140 [5] XiaoMin Liu, YueMeng Cui: submitted to Journal of Tianjin Professional College (2007),p.75 [6] MiaoLiang Zhu: Computer Vision (Zhejiang University Press, China 1997) [7] HongMei Wang, Ke Zhang, YanJun Li: submitted to Computer Engineering and Applications (2004),p.42 [8] NanNing Zheng: Computer Vision and Pattern Recognition (National Defence Industry Press, China 1998) [9] YuJin Zhang: Image Engineering (Tsinghua University Press, China 2007) [10] HongLin Zhang: Typical Algorithms and Realization about Processing Digital Image (People's Posts and Telecommunications Press, China 2008)
Online since: May 2013
Authors: Chun Xia Jin, Ding Li Yang, Ma Hua Wang, Qiu Chan Bai
Research on Data Display for New Electric Vehicle
Qiuchan Bai1, a, Chunxia Jin2,b, Dingli Yang3,c, Mahua Wang4,d
1,3,4 Faculty of Electronic and Electrical Engineering, Huaiyin Institute of Technology, Huaian, China
2 Faculty of Computer Engineering, Huaiyin Institute of Technology, Huaian, China
abqcbzn@163.com, bjcxbzn@163.com, cyangdingli@163.com, dwmh0304@sina.com
Keywords: Hall sensor, schmitt trigger, half frequency, LED
Abstract.
The software realizes the calculation of the electric vehicle mileage and speed, display speed / mileage value, calculate and display the voltage value as well as key control etc.
We paste a magnet in the edge of a disc (wheel) of non-magnetic material, Hall sensor is fixed near the outer edge of wheel.
The software realizes the calculation of the electric vehicle mileage and speed, display speed / mileage value, calculate and display the voltage value as well as key control etc.
We paste a magnet in the edge of a disc (wheel) of non-magnetic material, Hall sensor is fixed near the outer edge of wheel.
Online since: July 2014
Authors: Jian Jun Wang, Qiong Wu, Ke Wang
Introduction
Steam turbine blade is the key part of a steam turbine, which can turn heat energy of the steam and gas into mechanical energy directly.
Blade manufacturing efficiency directly influences the turbine manufacturing cycle, and manufacturing quality directly affects the operating efficiency and the safety of the steam turbine unit, that is why improving the machining efficiency and machining precision of the blade becomes one of the important research among scholars and engineering technicians at home and abroad.
Special processing method mainly refers to electrolysis processing, which cannot be limited by the hardness of the material, but the bottleneck of this method is its low accuracy and instability of machining process.
Mechanical Science and Technology for Aerospace Engineering,2008,27(5):652-656.
Blade manufacturing efficiency directly influences the turbine manufacturing cycle, and manufacturing quality directly affects the operating efficiency and the safety of the steam turbine unit, that is why improving the machining efficiency and machining precision of the blade becomes one of the important research among scholars and engineering technicians at home and abroad.
Special processing method mainly refers to electrolysis processing, which cannot be limited by the hardness of the material, but the bottleneck of this method is its low accuracy and instability of machining process.
Mechanical Science and Technology for Aerospace Engineering,2008,27(5):652-656.
Online since: May 2012
Authors: Gang Liu, Li Hua Lin, Rui Tian
Application of BP Neural Network in Traffic Noise Prediction
Liu Gang1,a, Lin Li-hua2,b, Tian Rui3,c
1,2,3School of Energy and Power Engineering, Inner Mongolia University Of Technology, Hohhot 010051, PR China
alg19851023@163.com, blinlihua8888@yahoo.com.cn, ctianr@imut.edu.cn
Key words: neural network; traffic noise; prediction
Abstract.
Influence factors Factors that affect road traffic noise can be divided into three categories: first, the intensity of the sound source, including traffic volume, speed, light/heavy truck scale, road gradient, width, flatness, surface nature material; second, the mode and the path of noise transmission, including the distance of forecast point to road, green ground state, the block effect on the noise of all kinds of surface features (such as sound barriers, buildings, large undulating ground, etc.)and the air temperature, humidity and mobility, etc;Third, the space location of the sound point, including the view of the sound point to the sound source and the reflection effect of the noise, etc[7].
Computer Engineering, 2002, 28(6): 35−37
Influence factors Factors that affect road traffic noise can be divided into three categories: first, the intensity of the sound source, including traffic volume, speed, light/heavy truck scale, road gradient, width, flatness, surface nature material; second, the mode and the path of noise transmission, including the distance of forecast point to road, green ground state, the block effect on the noise of all kinds of surface features (such as sound barriers, buildings, large undulating ground, etc.)and the air temperature, humidity and mobility, etc;Third, the space location of the sound point, including the view of the sound point to the sound source and the reflection effect of the noise, etc[7].
Computer Engineering, 2002, 28(6): 35−37
Online since: October 2011
Authors: Xue Tong Zhang, Yu Tang, Ding Xin Shuai, Rong Fu Zhou
On-line fault intelligent monitoring diagnosis system of blower
Rong fu Zhou1,a Ding xin Shuai1,a Yu Tang1,a Xue tong zhang2,a
1Electric and information engineering college of PanZhiHua university,PanZhiHua,Sichuan province 617000;
2 The design institute of PanZhiHua iron &steel company, PanZhiHua,Sichuan province 617000
azrf_1961@sina.com
Keywords: air blower, on-line, monitor, diagnose, research
Abstract: The structure of gas blower group is complex.
Introduction Gas blower is one of the key equipments of Coal Chemical Factory, Its performance directly related to the safety and economical of the coke oven production.
Make full use of the present resources, including computer resources, equipment resources, technical personnel, material, etc.
References [1]WEI Ben-zheng , TIAN Zhi-guang Failure Diagnosis of Steam Turbine Generator Set Based on Genetic BP Network,Control Engineering of China 1671-7848(2007)S0-0175-04 [2]Yang jian gang, Practical Course on Artificial Neural Networks ,Zhejiang University Press 2001 [3]Jiao Li Cheng ,Neural Network Computing, Xidian University Press,1995 [4]Guo,Zhe Xue, Neural Network Theory and realization of Matlab 2007, Electronic Industry Press [5]Ou Jian, BP Network Based on Genetic Fault Diagnosis, High Voltage Technology 2006(3) [6]Cheng Da Xi ,Practical large-scale rotating machinery diagnostic technology field, Machinery Industry Press,2002
Introduction Gas blower is one of the key equipments of Coal Chemical Factory, Its performance directly related to the safety and economical of the coke oven production.
Make full use of the present resources, including computer resources, equipment resources, technical personnel, material, etc.
References [1]WEI Ben-zheng , TIAN Zhi-guang Failure Diagnosis of Steam Turbine Generator Set Based on Genetic BP Network,Control Engineering of China 1671-7848(2007)S0-0175-04 [2]Yang jian gang, Practical Course on Artificial Neural Networks ,Zhejiang University Press 2001 [3]Jiao Li Cheng ,Neural Network Computing, Xidian University Press,1995 [4]Guo,Zhe Xue, Neural Network Theory and realization of Matlab 2007, Electronic Industry Press [5]Ou Jian, BP Network Based on Genetic Fault Diagnosis, High Voltage Technology 2006(3) [6]Cheng Da Xi ,Practical large-scale rotating machinery diagnostic technology field, Machinery Industry Press,2002
Online since: March 2015
Authors: Xi Lai Zhang, Wei Yao
Jegla [2, 3] proposed that the optimum modification solution for tubular furnace to save energy could be reached applying the method of Pinch Analysis, which would take all the key factors into account.
As the flame of the COG was weak in radiation, a radiant cylinder that made of refractory material was added in the center of the furnace chamber.
[2] Z Jegla, P Stehlík, J Kohoutek: Applied Thermal Engineering Vol.20 (15) (2000),p.1545-1560 [3] Z Jegla, J Kohoutek, P Stehlík:Applied Thermal Engineering Vol.23(14) (2003),p.1797–1805 [4] XF Zhang: Machinery Design and Manufacture Vol.5(2005), p.105-107 [5] Q Luo: Sichuan Metallurgy Vol.32(2) (2010), p.53-55
As the flame of the COG was weak in radiation, a radiant cylinder that made of refractory material was added in the center of the furnace chamber.
[2] Z Jegla, P Stehlík, J Kohoutek: Applied Thermal Engineering Vol.20 (15) (2000),p.1545-1560 [3] Z Jegla, J Kohoutek, P Stehlík:Applied Thermal Engineering Vol.23(14) (2003),p.1797–1805 [4] XF Zhang: Machinery Design and Manufacture Vol.5(2005), p.105-107 [5] Q Luo: Sichuan Metallurgy Vol.32(2) (2010), p.53-55
Online since: October 2023
Authors: José Fernando Vázquez Pons, Óscar López Pérez, Francisco Javier Álvarez García, Alfonso González González, David Rodríguez Salgado
Design for the Manufacture of a Video Game Controller Applying Emotional Design
Óscar López Pérez1,a, Alfonso González González1,b, Francisco Javier, Álvarez García1,c, David Rodriguez Salgado2,d,
and José Fernando Vázquez Pons1,e
1Mechanical, Energy and Materials Engineering / University of Extremadura, Mérida, Spain
2Mechanical, Energy and Materials Engineering / University of Extremadura, Badajoz, Spain
aoscar@unex.es, bagg@unex.es, cfjag@unex.es, ddrs@unex.es, ejvazquezn@alumnos.unex.es,
Keywords: Emotional Design, Digital Manufacturing, Sustainability, Ergonomic.
Journal of Engineering Design, 24(10):738–764, 2013
Advances in the human side of service engineering.
Computers & Industrial Engineering, 60(4):760– 768, 2011
Computers & Industrial Engineering, 120:401–417, 2018
Journal of Engineering Design, 24(10):738–764, 2013
Advances in the human side of service engineering.
Computers & Industrial Engineering, 60(4):760– 768, 2011
Computers & Industrial Engineering, 120:401–417, 2018