Prof. Dr. Shanben Chen
Intelligentized Robotic Welding Technology Laboratory, School of Materials Science and Engineering, Shanghai Jiao Tong University (SJTU), Shanghai 200240, China
'%3e%3cpath%20d='M22.1642%2019.0924C21.7317%2018.068%2021.1041%2017.1375%2020.3163%2016.3527C19.5309%2015.5656%2018.6006%2014.9381%2017.5766%2014.5048C17.5674%2014.5002%2017.5582%2014.4979%2017.5491%2014.4933C18.9774%2013.4616%2019.9059%2011.7811%2019.9059%209.88504C19.9059%206.74408%2017.3611%204.19922%2014.2201%204.19922C11.0792%204.19922%208.53429%206.74408%208.53429%209.88504C8.53429%2011.7811%209.46282%2013.4616%2010.8912%2014.4956C10.882%2014.5002%2010.8728%2014.5025%2010.8636%2014.5071C9.83652%2014.9404%208.91487%2015.5617%208.1239%2016.355C7.33685%2017.1404%206.70933%2018.0707%206.276%2019.0947C5.85031%2020.0972%205.62072%2021.172%205.59967%2022.2609C5.59905%2022.2853%205.60335%2022.3097%205.61229%2022.3325C5.62123%2022.3553%205.63465%2022.376%205.65174%2022.3935C5.66883%2022.4111%205.68926%2022.425%205.71182%2022.4345C5.73437%2022.444%205.7586%2022.4489%205.78308%2022.4489H7.15868C7.25956%2022.4489%207.3398%2022.3686%207.3421%2022.2701C7.38795%2020.5001%208.09868%2018.8425%209.35506%2017.5861C10.655%2016.2862%2012.3814%2015.5709%2014.2201%2015.5709C16.0588%2015.5709%2017.7852%2016.2862%2019.0852%2017.5861C20.3415%2018.8425%2021.0523%2020.5001%2021.0981%2022.2701C21.1004%2022.3709%2021.1807%2022.4489%2021.2815%2022.4489H22.6571C22.6816%2022.4489%2022.7058%2022.444%2022.7284%2022.4345C22.751%2022.425%2022.7714%2022.4111%2022.7885%2022.3935C22.8056%2022.376%2022.819%2022.3553%2022.8279%2022.3325C22.8369%2022.3097%2022.8412%2022.2853%2022.8406%2022.2609C22.8176%2021.165%2022.5907%2020.0989%2022.1642%2019.0924ZM14.2201%2013.8284C13.1678%2013.8284%2012.1773%2013.418%2011.4322%2012.6729C10.6871%2011.9278%2010.2767%2010.9374%2010.2767%209.88504C10.2767%208.83271%2010.6871%207.84227%2011.4322%207.09715C12.1773%206.35204%2013.1678%205.94165%2014.2201%205.94165C15.2724%205.94165%2016.2629%206.35204%2017.008%207.09715C17.7531%207.84227%2018.1635%208.83271%2018.1635%209.88504C18.1635%2010.9374%2017.7531%2011.9278%2017.008%2012.6729C16.2629%2013.418%2015.2724%2013.8284%2014.2201%2013.8284Z'%20fill='%238590A2'/%3e%3c/g%3e%3c/svg%3e)
Co-authors
Following
Followers
Research Focus & Metrics
Explore full metrics on Scilit
Academic Career Length
20Years (2007-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 October 2014 in Journal of Intelligent Manufacturing
Journal Article
ZZZhifen Zhang
Zhifen ZhangShanben Chen17 September 2018 in IEEE Transactions on Industrial Informatics
Journal Article
Monitoring and controlling of weld joint penetration are essential issues in variable polarity plasma arc welding (VPPAW). In this paper, we develop a flexible visual sensor system to measure the backside keyhole characteristic parameters such as keyhole length, width and area. Further, data analysis from dynamic welding experiments reveals a nonlinear correlation of the keyhole features and the backside beam width. To provide accurate feedback information, an extreme learning machine (ELM) method is applied to predict the weld width with sufficient accuracy and less computing time. Then a novel model-free adaptive control (MFAC) is designed to control the weld penetration evaluated by the weld width. Closed-loop experimental results confirm that the MFAC system can simultaneously adjust the welding current and plasma gas flow rate to control the VPPAW process for obtaining a full-penetrated weld under various initial welding conditions and disturbances.
20 November 2017 in IEEE Transactions on Industrial Informatics
Journal Article
Aluminum Alloy is the main structure material in aerospace industry. On-line defect detection for Aluminum alloy in pulsed gas tungsten arc welding (GTAW) is still challenging, especially for increasing application of robotics. This paper presents an intelligent methodology for real-time evaluation of weld penetration defects based on arc audible sound sensing for aluminum alloy in robotic pulsed GTAW. The generation mechanism of arc sound was investigated using correlation analysis, high-speed camera observing and frequency spectrum analysis before denoising of arc sound. Two feature selection approaches based on Fisher distance and principle component analysis (PCA) were developed to select frequency components related to seam defects, and then, their performance were qualitatively and quantitatively analyzed. Finally, a new classification model integrating support vector machine with grid search optimization and cross-validation (SVM-GSCV) was proposed to identify under penetration, normal penetration and burning through. The proposed methodologies were verified to be effective with high accuracy and robustness. This paper can provide some guidance for condition monitoring of additive manufacturing (AM) or process industry.
27 October 2013 in The International Journal of Advanced Manufacturing Technology
Journal Article
ZZZhifen Zhang
Zhifen Zhang
XCXizhang Chen
Xizhang ChenHCHuabin Chen
Huabin Chen
JZJiyong Zhong
Jiyong Zhong
Shanben Chen26 May 2012 in The International Journal of Advanced Manufacturing Technology
Journal Article
YXYanling Xu
Yanling Xu
JZJiyong Zhong
Jiyong Zhong
MDMingyan Ding
Mingyan Ding
HCHuabin Chen
Huabin Chen
Shanben Chen6 August 2014 in The International Journal of Advanced Manufacturing Technology
Journal Article
YCYuxi Chen
Yuxi Chen
YHYinshui He
Yinshui He
HCHuabin Chen
Huabin Chen
HZHuajun Zhang
Huajun Zhang
Shanben ChenAbout Me
Dr. Shanben Chen received his Ph.D. degree in 1991 from Harbin Institute of Technology. He was awarded the Distinguished Professor position, the Cheung Kong Scholar Program of the Ministry of Education of China & Li Ka Shing Foundation, Hong Kong, and engaged in Shanghai Jiao Tong University from 2000. He is currently the director of the Intellgentized Robotic Welding Technology Laboratory, School of Material Science and Engineering, Shanghai Jiao Tong University. Dr. Chen’s research interests include intelligentized technologies for welding robots, intelligent control of welding dynamical process, modeling and control of complex systems, hybrid intelligence in intelligentized welding manufacturing systems, robust control of uncertain systems, and welding automation and advanced welding manufacturing. Dr. Chen is the former Chair of the Robotics & Automation Committee of the Chinese Welding Society (CWS) from 1996 to 2022. He has been a Senior member of IEEE since 1995. As the initiator, Dr. Chen organized and presided over a series of the International Workshop on Intelligentized Welding Manufacturing (IWIWM) every two years from 2017; and organized and presided over a series of International Conference on Robotic Welding, Intelligence and Automation (RWIA) every four years from 2002. As one of the Editors in Chief of TIWM, Dr. Shanben Chen founded Transactions on Intelligent Welding Manufacturing (TIWM）at Springer in 2017.