余忠华 - 浙江大学 - 机械工程学院

个人简介

1963年11月生。1985年获重庆大学学士学位，1988年获浙江大学工学硕士学位， 2000年获浙江大学工学博士学位，2001年被聘为教授，博士生导师。现主要从事质量检测与控制、产品质量与可靠性工程、基于保质设计的先进制造技术与装备等领域的教学和研究工作，兼任中国机械工程学会齿轮专业委员会委员，浙江省计量测试学会几何量专业委员会副主任委员，浙江省机械工程学会失效分析分会副理事长，全国高校互换性与测量技术研究会理事。

研究领域

质量检测与控制（含数字化检测、过程质量监控技术、质检+大数据分析等）质量与可靠性工程（含保质设计、国家质量技术基础（NQI)、六西格玛管理、人机系统可靠性等）基于保质设计的先进制造技术与装备研发（如智能磨削技术与装备、数控旋锻机、自动矫直机、自动检测线等）

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

1） WU H, YU Z, WANG Y. Real-time FDM machine condition monitoring and diagnosis based on acoustic emission and Hidden Semi-Markov Model[J]. The International Journal of Advanced Manufacturing Technology, 2017, 90(5): 2027-2036. 2） MeiYiming, YuZhonghua and Yang Zhensheng, Experimental investigation of correlation between attrition wear and features of acoustic emission signals in single-grit grinding, International Journal of Advanced Manufacturing Technology, 2017. 2017 , 93 (5-8) :2275-2287 3） Yiming Mei, Zhonghua Yu, Zhensheng Yang, Changjing Sun， Numerical investigation of the evolution of grit fracture and its impact on cutting performance in single grit grinding，International Journal of Advanced Manufacturing Technology, 2017， 89（9-12）：3271-3284；ISSN: 0268-3768 4） Yang, Z.-S., Huang, Y.-F.,Wang, M.-Z.,Yan, W., Gu, B.-P.,Yu, Z.-H. Laser-induced surface burn: A feasible approach for controlled production of thermal damage and its monitoring based on acoustic emission，Lasers in Engineering, v 33, n 4-6, p 261-277, 2016 5） Haixi Wu, Yan Wang, Zhonghua Yu，In-situ monitoring of FDM machine condition via acoustic emission，The International Journal of Advanced ManufacturingTechnology (2016) 84:1483–1495 , 113, 1433-3015 6） Yang Z, Yu Z, Wu H, Chang D, Laser-induced thermal damage detection in metallic materials via acoustic emission and ensemble empirical mode decomposition. Journal of Material Processing Technology , 2014, 214(8):1617–1626 7） YANG Z, WU H, YU Z* ,Huang Y， A non-destructive surface burn detection method for ferrous metals based on acoustic emission and ensemble empirical mode decomposition: from laser simulation to grinding process[J]. Measurement Science and Technology, 2014, 25(3) 8） Zhensheng Yang, Zhonghua Yu, Chao Xie, Application of Hilbert-Huang Transform to acoustic emission signals for burn feature extraction in surface grinding process, Measurement 47 (2014) 14–21 9） Youshuo Song, Zhonghua Yu, Springback After the Lateral Bending of T-Section Railsof Work-Hardening Materials, Journal of Materials Engineering and Performance ,03,July,2013 10） Youshuo Song, Zhonghua Yu,Springback prediction in T-section beam bending process using neural networks and finite element method, Archives of Civil and Mechanical Engineering, 13(2013):229-241 11） Youshuo Song, Zhonghua Yu, LOAD-DEFLECTION RELATIONS OF T-SECTION RAILS UNDER LATERAL LOADS,JOURNAL OF THEORETICAL AND APPLIED MECHANICS, JOURNAL OF THEORETICAL AND APPLIED MECHANICS, 51, 1, pp. 195-202, Warsaw 2013 12） Zhensheng Yang and Zhonghua Yu, Experimental study of burn classification and prediction using indirect method in surface grinding of AISI 1045 steel, International Journal of Advanced Manufacturing Technology, 2013, 13） Yang Zhensheng, Yu Zhonghua. Grinding wheel wear monitoring based on wavelet analysis and support vector machine. International Journal of Advanced Manufacturing Technology,2012,62:107-121 14） Youshuo Song, Zhonghua Yu, Residual stress distributions in elevator guide rail straightening, Recent Patents on Mechanical Engineering, v 4, n 3, p 254-261, 2011 15） Wu, Haixi; Yu, Zhonghua; Wang, Yan A NEW APPROACH FOR ONLINE MONITORING OF ADDITIVE MANUFACTURING BASED ON ACOUSTIC EMISSION，PROCEEDINGS OF THE ASME 11TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE, 2016, VOL 3 16） Yu Zhonghua， Zhou Juan，Quality Control Model for Manufacturing Process based on GQMM，Advanced Materials Research, v 214, p 612-617, 2011, Advances in Key Engineering Materials