严思杰（Yan Sijie, Professor），男，1965年12月出生，湖北天门人，博士，教授，博导，兼任中国机械工程学会机器人分会第一届委员会常务委员。主要从事数字化制造技术、数控装备与技术、CAD/CAM、机器人技术等智能制造相关领域研发工作。现主持承担了国家重点研发计划“变革性技术关键科学问题”专项、国家自然科学基金以及多项产学研合作项目，并参与承担多项国家973项目、863项目、及江苏省重大科技创新计划项目研究。获教育部国家科学技术奖一等奖一项，江苏省科学技术将一等奖一项，在国内外学术期刊和会议上发表相关学术论文30余篇，授权发明专利30余项、软件著作权10余项。荣获江苏省科学技术一等奖、教育部科技进步一等奖、“2018中国智能制造十大科技进展”、2018“中国好设计”银奖、“2017江苏省产业技术研究院技术转移十大优秀案例”等殊荣。

CAD/CAM技术 数字化制造技术 机器人智能制造技术

主要从事数字化制造技术、数控装备与技术、CAD/CAM、机器人技术等智能制造相关领域研发工作

中国机械工程学会机器人分会第一届委员会常务委员

1. Sijie Yan, Dahu Zhu*, Kejia Zhuang, Xiaoming Zhang, Han Ding, Modeling and analysis of coated tool temperature variation in dry milling of Inconel 718 turbine blade considering flank wear effect, Journal of Materials Processing Technology, 2014, 214: 2985~3001. 2. Sijie Yan, Xiaohu Xu, Zeyuan Yang, Dahu Zhu*, Han Ding, An improved robotic abrasive belt grinding force model considering theeffects of cut-in and cut-off, Journal of Manufacturing Processes, 2018.12.29, 37: 496~508. 3. Dahu Zhu, Shiyuan Luo, Long Yang, Wei Chen, Sijie Yan*, Han Ding, On energetic assessment of cutting mechanisms in robot-assisted belt grinding of titanium alloys, Tribology International, 2015, 90: 55~59.、 4. Xiaohu Xu，Dahu Zhu，Haiyang Zhang，Sijie Yan*，Han Ding, TCP-based calibration in robot-assisted belt grinding of aero-engine blades using scanner measurements, International Journal of Advanced Manufacturing Technology, 2017, 90: 635~647. 5. Xiaohu Xu，Dahu Zhu，Jinshan Wang，Sijie Yan*, Han Ding, Calibration and accuracy analysis of robotic belt grinding system using the ruby probe and criteria sphere, Robotics and Computer Integrated Manufacturing, 2018, 51:189~201. 6. X Xu, D Zhu, H Zhang, S Yan*, H Ding. Application of novel force control strategies to enhance robotic abrasive belt grinding quality of aero-engine blades. Chinese Journal of Aeronautics, 2019, 32(10): 2368-2382. 7. D Zhu, X Feng, X Xu, Z Yang, S Yan*, W Li*, H Ding. Robotic grinding of complex components: a step towards efficient and intelligent machining – challenges, solutions, and applications. Robotics and Computer-Integrated Manufacturing, 2020, 65: 101908. 8. X Xu, W Chen, Z Yang, D Zhu, S Yan*, H Ding. Hybrid active / passive force control strategy for grinding marks suppression and profile accuracy enhancement in robotic belt grinding of turbine blade. Robotics and Computer-Integrated Manufacturing, 2021, 67: 1020472020. 9. Z Yang, Y Chu, X Xu, H Huang, D Zhu, S Yan*, H Ding. Prediction and analysis of material removal characteristics for robotic belt grinding based on single spherical abrasive grain model. International Journal of Mechanical Science, 2021, 190: 106005. 10. X Xu, S Ye, Z Yang, D Zhu*, S Yan*, H Ding. Analysis and prediction of surface roughness in robotic belt grinding of turbine blade based on an improved scallop height model. Science China Technological Sciences, 2021, 64, https://doi.org/10.1007/s11431-020-1712-4.