闫蓉

个人基本情况

    闫蓉Yan Rong,Associate Professor),副教授,承担了国家青年科学基金项目、国家自然科学基金面上项目、国家重点基础研究发展计划973计划)课题、863目标导向课题、国家数控重大专项、湖北省重大科技创新计划项目等国家省部级重大科研项目在《Transactions of the ASME - Journal of Manufacturing Science and Engineering》《International Journal of Machine Tools and Manufacture》、《International Journal of Advanced Manufacturing Technology》等期刊发表SCI论文20余篇,获得授权国家发明专利10余项,软件著作权登记2项,获得湖北省科技进步一等奖。


主要研究方向

机器人加工动力学与主动控制

多轴加工轨迹优化

加工精度补偿

加工表面完整性研究


开设课程

本科生课程:《数控加工工艺与编程》

研究生课程:《现代数控编程》


近年的科研项目、专著与论文、专利、获奖

承担的科研项目:

1. 2018-2021,国家自然科学基金项目,舰载机起落架激光辅助铣削的多热场切削机理与高品质工艺优化研究,第一负责人,编号:51775213

2. 2013-2016,国家自然科学基金项目“大型复杂轴类零件车铣复合加工动力学与运动规划”,第一负责人,编号:51275189

3. 2009-2011,国家青年科学基金项目,基于机床刚度特性的大型复杂曲面多轴数控加工运动规划,第一负责人,编号:50805057

4. 2011-2015,国家973课题,超强异形零件多轴加工失稳机制及控制品质优化,主要技术骨干,编号:2011CB706803

5. 2009-2011,国家863计划,大型复杂曲面薄壁类零件高性能多轴数控加工与仿真优化,主要技术骨干,编号:2009AA04Z149

6. 2015-2017,湖北省重大科技创新计划项目,舰船用非线性纵倾侧倾多叶片转子五轴联动数控加工技术研发与应用,第一负责人,编号:2015AAA002

7. 2013-2015,湖北省重大科技创新计划项目,高端多轴数控装备的关键共性技术研发,主要技术骨干,编号:2013AAA008

8. 2013-2015,国家数控重大专项课题,重型数控机床伺服与拖动共性技术研究与应用,主要技术骨干,编号:2013ZX04013-011-07



荣誉与奖励:

2013年,大型叶片高效多轴数控加工技术与应用,湖北省科技进步一等奖



代表性著作:

1. Haohao Zeng, Rong Yan*, Tiantian Hu, Pengle Du, Wei Wang, Fangyu Peng. Analytical Modeling of White Layer Formation in Orthogonal Cutting of AerMet100 Steel Based on Phase Transformation Mechanism, Journal of Manufacturing Science and Engineering, Transactions of the ASME, 2019, 141(6): 064502-7.

2. Xiaowei Tang, Zerun Zhu, Rong Yan*, Chen Chen, Fangyu Peng. Stability Prediction Based Effect Analysis of Tool Orientation on Machining Efficiency for Five Axis Bull-Nose End Milling, Journal of Manufacturing Science and Engineering, Transactions of the ASME, 2018, 140(12): 121015-16.

3. Haohao Zeng, Rong Yan*, Pengle Du, Mingkai Zhang, Fangyu Peng. Notch wear prediction model in high speed milling of AerMet100 steel with bull-nose tool considering the influence of stress concentration, Wear, 2018, 408: 228-237.

4. Rong Yan, Hua Li, Fang Yu Peng, Xiaowei Tang, Jiawei Xu, Haohao Zeng. Stability prediction and step optimization of trochoidal milling, Journal of Manufacturing Science and Engineering, Transactions of the ASME, 2017, 139(9): 091006-11.

5. Rong Yan, Xiaowei Tang, Fangyu Peng, Yuting Li, Hua Li. RCSA-Based Method for Tool Frequency Response Function Identification Under Operational Conditions Without Using Noncontact Sensor, Journal of Manufacturing Science and Engineering, Transactions of the ASME, 2017, 139(6): 061009-11.

6. Rong Yan, Xiaowei Tang, F. Y. Peng, Yong Wang, Feng Qiu. The effect of variable cutting depth and thickness on milling stability for orthogonal turn-milling, International Journal of Advanced Manufacturing Technology, 2016, 82(1-4): 765-777.

7. Xiaowei Tang, Fangyu Peng, Rong Yan*, Yanhong Gong, Xin Li. An effective time domain model for milling stability prediction simultaneously considering multi-modes and cross frequency response functions effect, International Journal of Advanced Manufacturing Technology, 2016, 86(1), 1037-1054.

8. Rong Yan, Yanhong Gong, Fangyu Peng, Xiaowei Tang, Hua Li, Bin Li. Three degrees of freedom stability analysis in the milling with bull-nosed end mills, International Journal of Advanced Manufacturing Technology, 2016, 86(1), 71-85.

9. Rong Yan, Haohao Zeng, Fangyu Peng, Sheng Yang, Qiong Dong, Lin Zhou. Analytical modeling and experimental validation of workpiece temperature variation in bull-nose end milling, International Journal of Advanced Manufacturing Technology, 2016, 86(1), 155-168.

10. Z.R. Zhu, R. Yan, F.Y. Peng, X.Y. Duan, L. Zhou, K. Song, C.Y. Guo. Parametric chip thickness model based cutting forces estimation considering cutter runout of five-axis general end milling, International Journal of Machine Tools and Manufacturing, 2016, 101:35-51.