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2018年国际机器人焊接、智能化与自动化会议/第12届中国机器人焊接会议
(RWIA&CCRW2018)

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Hong-Bo MA

更新时间:2009/4/13 9:34:38 阅读:5848 次

 

Hongbo Ma
Room 203, Building F, School of Material science and engineering
Shanghai Jiao Tong University, No.800 Dongchuan Road, Shanghai, 200240, China
Tel: (86-21) 3420-2740-803
Mobile: (86) 137-6111-7356
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Education
2006-present   Shanghai Jiao Tong University, School of Material Science and Engineering,
Doctoral Candidate in Material Processing and Engineering.
2003-2006      Tianjin University, School of Electrical Engineering and Automation,
M.S. in Control Theory and Engineering.
1999-2003      Tianjin University, School of Electrical Engineering and Automation,
B.S. in Automation.
 
Research Experience
2009.09-present    Study on modeling and control of robotic welding process by using mixed logical dynamical (MLD) method.
Traditional modeling methods do not consider the uncertainties of welding process. In this study, some measurable uncertainties are considered as discrete events and are included into modeling framework. The MLD model is more adaptive than traditional models. The MLD model of welding process is realized by using system identification toolbox and HYSDEL(hybrid system description language)in Matlab.
2009.02-2009.08    Study on the system integration for a robotic welding workstation.
In this project, I was mainly in charge of the issues of electrical part of this workstation, including laser sensor, pneumatic circuit and welding source. Laser sensing technology is studied to realize seam tracking during welding, which is made by Meta Company. The pneumatic circuit is controlled by robot controller, which is realized by an inner PLC program.
2007.03-2009.01    Study on the visual sensing technology of robotic welding process; Study on the application of intelligent technologies on robotic welding system, such as initial welding position guidance, seam tracking, etc.
A binocular vision sensor was designed. Image processing algorithms are developed to calculate seam gap width, weld pool geometric dimension. Stereo matching and3-D calculation of initial welding position is studied and then the robot can move to the position. Fuzzy-PID controller is designed to realize seam tracking based on the binocular vision sensor. Both image processing algorithms and 3-D calculation are realized by Visual C++.
 
Papers
[1] Hongbo Ma, Shanchun Wei, Tao Lin, Shanben Chen, Laiping Li. Binocular vision system for both weld pool and root gap in robot welding process. Sensor Review, 2010,30(2):116-123
[2] Hongbo Ma, Shanchun Wei, Zhongxi Sheng, Tao Lin, Shanben Chen. Robot welding seam tracking method based on passive vision for thin plate closed-gap butt welding. International Journal of Advanced Manufacturing Technology. (Published online)
[3] Hongbo Ma, Shanben Chen, Tao Lin, Binocular vision based measuring system for both weld pool and root gap in pulsed GTAW process, The Sixth Asian Pacific IIW International Congress, Tianjin, China. 2008, 10.
[4] Hongbo Ma, Zhongxi Sheng, Tao Lin, Laiping Li, Xueqin Yang, Research on image processing of narrow gap seam for pulsed GTAW process, Proceedings of the 7th Chinese conference on robotic welding, 2008
[5] Hongbo Ma, Wenyi Wang, Shanben Chen, Application discussion in welding process using mixed logical dynamical model, Journal of Shanghai Jiao Tong University, (Accepted)
 
Scholarships and Awards
2010.01   Excellent graduates of colleges and universities of Shanghai.
2008.07   Second-class Award of Creation and Invention for students of universities in Shanghai.

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