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王洪金

领域:高端装备制造产业 学校:湖南大学职称:助理教授

红外热成像无损检测及相关人工智能热成像中的逆问题红外热成像在新能源设备中的应用...

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教育背景

09/2010-12/2016 德克萨斯A&M大学(德州农工大学)—大学城(Texas A&M University - College Station), 机械工程, 博士,(Ph.D)
09/2008-07/2010 湖南大学, 硕士
09/2004-07/2008 湖南大学,学士

工作经历

03/2018-至今 助理教授,仪器科学与技术系,湖南大学,中国
02/2013-05/2015 讲师, 工程技术与工业分配系, 德克萨斯A&M大学, 美国

项目课题经历

论文、成果、著作等

1. Wang, Hongjin, Hsieh, Sheng-jen et al. “Non-Metallic Coating Thickness Prediction Using Artificial Neural Network and Support Vector machine with Time Resolved Thermography.” Infrared Physics and Technology 77 (2016):316-324.
2. Wang, Hongjin, Hsieh, Sheng-jen et al. "Using active thermography to inspect pin-hole defects in anti-reflective coating with k-mean clustering." NDT & E International 76 (2015): 66-72.
3. Wang, Hongjin, Sheng-Jen Hsieh, and Alex Stockton. "Evaluating the performance of artificial neural networks for estimating the nonmetallic coating thicknesses with time-resolved thermography." Optical Engineering 53.8 (2014): 083102-083102.
4. Wang, Hongjin, et al. "Restored pseudo heat flux (RPHF) algorithm for carbon fibre composite defect detection using thermography under uneven heating." Quantitative InfraRed Thermography Journal (2017): 1-15
5. Gong, Guangcai, Jinchen Tang, Dongyan Lv, and Hongjin Wang. "Research on frost formation in air source heat pump at cold-moist conditions in central-south China." Applied energy 102 (2013): 571-581.
会议文章 (Web of Science Indexed, EI indexed):
1. Wang, Hongjin, and Sheng-Jen Hsieh. "Comparison of step heating and modulated frequency thermography for detecting bubble defects in colored acrylic glass." SPIE Sensing Technology+ Applications. International Society for Optics and Photonics, 2015.
2. Wang, Hongjin, Sheng-Jen Hsieh, and Bhavana Singh. "Detection of pinhole defects in optical film using thermography and artificial neural network." SPIE Sensing Technology+ Applications. International Society for Optics and Photonics, 2015.
3. Wang, Hongjin, and Sheng-Jen Hsieh. "Estimating non-metallic coating thickness using artificial neural network modeled time-resolved thermography: capacity and constraints." SPIE Sensing Technology+ Applications. International Society for Optics and Photonics, 2014.

专利、著作版权等

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