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概况
主要从事智能制造与精密加工技术研究
教育经历
2002年9月~2006年7月,清华大学物理系,理学学士
2006年9月~2012年1月,清华大学物理系,理学博士
工作经历
2012年3月~2014年4月,清华大学深圳研究生院,博士后
2014年6月~2019年11月,清华大学深圳研究生院,讲师
2019年12月~今,清华大学深圳国际研究生院,副教授
学术兼职
中国机械工程学会,高级会员;
中国机械工程学会表面工程分会,委员;
中国民主同盟深圳高等教育委员会,委员;
中国复合材料学会,高级会员;
深圳市真空学会,理事;
Fractal and Fractional期刊客座编辑;
Aerospace Science and Technology、Journal of Intelligent Manufacturing、Applied Physics Letters、Applied Surface Science、Transactions of Nonferrous Metals Society of China、Superconductor Science and Technology、Advances in Manufacturing、The International Journal of Advanced Manufacturing Technology等期刊审稿人。
社会兼职
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教学课程
主讲深圳国际研究生院的《制造过程数值模拟技术》、《制造技术(1)》、《智能制造技术基础》等课程。
研究生指导
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研究领域
主要从事智能制造与精密加工技术研究,具体涉及超声加工装备与工艺、复合材料制造技术、结构件应力形变控制、制造装备数字孪生等方向,以第一或通讯作者发表SCI论文50余篇(ESI高被引用论文1篇、期刊封面论文1篇、期刊亮点论文2篇),以第一发明人获得国家发明专利授权15项、美国PCT专利授权1项。
主要项目
作为负责人主持国家自然科学基金等8项纵向课题、2项校内课题与十余项横向课题。
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代表性论文
Main publications (2020-2024):
[1] W.M. Zhou, P.F. Feng, W. Ji, Z.Y. Wang, Y. Ma, E.L. Jiang, H.T. Zha, Z.P. Cai, F. Feng*, Multiscale analysis on the wear process of cemented carbide tools during titanium alloy machining. Friction, (2024) in press.
[2] J.Y. Nan, J. Xu, P.F. Feng, F. Feng*, Efficient modeling of liquid splashing via graph neural networks with adaptive filter and aggregator fusion. International Journal of Numerical Methods for Heat & Fluid Flow, (2024) in press.
[3] J. Xu, B. Li, P.F. Feng, Q. Wang, F. Feng*, A novel method for AFRPs burrs removal: Principle of mechanochemo-induced fiber fracture. Chinese Journal of Aeronautics, 37 (2024) 522-538.
[4] E.L. Jiang, Q.Z. Yue, J. Xu, C.R. Fan, G. Song, X.M. Yuan, Y. Ma, X.L. Yu, P.L. Yang, P.F. Feng, F. Feng*, A Wear Testing Method of Straight Blade Tools for Nomex Honeycomb Composites Machining: Wear, 546-547 (2024) 205325.
[5] X.M. Yuan, C.R. Fan, J. Xu, W.J. Cao*, W.C. Zhou, E.L. Jiang, Y. Ma, C. Xu, P.F. Feng, F. Feng*, Dominating influence of cutting-edge lead angles on arc-trajectory machining of Nomex® honeycomb composites by using a straight blade cutter, Engineering Science and Technology, an International Journal, 49 (2024) 101601.
[6] G. Zhou, K. Zhou, J. Zhang, M. Yuan, X. Wang, P. Feng, M. Zhang*, F. Feng*, Digital modeling-driven chatter suppression for thin-walled part manufacturing, Journal of Intelligent Manufacturing, 35 (2024) 289-305.
[7] J. Xu, C.X. Wang, P.F. Feng, E.L. Jiang, F. Feng*, Meso-scale cracks initiation of Nomex honeycomb composites in orthogonal cutting with a straight blade cutter, Composites Science and Technology, 233 (2023) 109914.
[8] G. Zhou, M. Yuan, F. Feng*, Z.M. Han, X.G. Song, X.H. Wang, P.F. Feng, M. Zhang*, A new algorithm for chatter quantification and milling instability classification based on surface analysis, Mechanical Systems and Signal Processing, 204 (2023) 110816.
[9] J. Xu, Q.Z. Yue, H.T. Zha*, X.M. Yuan, X.K. Cai, C. Xu, Y. Ma, P.F. Feng, F. Feng*, Wear reduction by toughness enhancement of disc tool in Nomex honeycomb composites machining, Tribology International, 185 (2023) 108475.
[10] W.M. Zhou, F. Yu, J.F. Zhang, K.H. Huang, Z.P. Xu, X.P. Liu, Y. Ma, P.F. Feng, F. Feng*, An adaptive clamp system for deformation control of aerospace thin-walled parts, Journal of Manufacturing Processes, 107 (2023) 115-125.
[11] J. Xu, K.X. Zhang, H.T. Zha*, J.L. Liu, X.M. Yuan, X.K. Cai, C. Xu, Y. Ma, P.F. Feng, F. Feng*, Surface integrity of Nomex honeycomb composites after ultrasonic vibration machining by using disc cutters, Journal of Manufacturing Processes, 102 (2023) 1010-1022.
[12] F. Feng, Z.R. Zhao, Z.B. Wang, B. Li, X.X. Lin, J.F. Zhang, P.F. Feng, X.Y. Zhang*, A calculation method for residual stress of cold expanded hole based on measured springback, Measurement, 218 (2023) 113262.
[13] L.H. Zhang, P.F. Feng, J. Xu, Y. Li, W. Gao, G.Q. Liang, F. Feng*, A piecewise kinetic model consistent with curing cycle of epoxy/amine composite, Journal of Thermal Analysis and Calorimetry, 148 (2023) 12781-12793.
[14] G.C. Han, Z.J. Ye, J. Xu, Y. Ma, C. Xu, X.Q. Zhao, L.D. Yu, P.F. Feng, F. Feng*, Investigation on cutting forces and tool wear in high-speed milling of Ti-6Al-4V assisted by longitudinal torsional ultrasonic vibrations, The International Journal of Advanced Manufacturing Technology, 129 (2023) 783-799.
[15] X.M. Yuan, K.X. Zhang, H.T. Zha*, J. Xu, G. Song, W.J. Cao, P.F. Feng, F. Feng*, Enabling Thin-Edged Part Machining of Nomex Honeycomb Composites via Optimizing Variable Angle of Disc Cutters, Materials, 16 (2023) 5611.
[16] G.Y. Huang, J. Bai, F. Feng*, L. Zeng, P.F. Feng, X.H. Li*, A Hybrid Strategy for Profile Measurement of Micro Gear Teeth, Micromachines, 14 (2023) 1729.
[17] Z.W. Li, J.J. Wang, M. Yuan, Z.Y. Wang, P.F. Feng, F. Feng*, An indicator to quantify the complexity of signals and surfaces based on scaling behaviors transcending fractal, Chaos, Solitons & Fractals, 163 (2022) 112556.
[18] W.M. Zhou, Y.T. Cao, H.L. Zhao, Z.W. Li, P.F. Feng, F. Feng*, Fractal Analysis on Surface Topography of Thin Films: A Review, Fractal and Fractional, 6 (2022) 135. (ESI高被引用论文,期刊年度最佳论文)
[19] F. Feng, K.X. Zhang, X.H. Li*, Y.S. Xia, M. Yuan, P.F. Feng*, Scaling Region of Weierstrass-Mandelbrot Function: Improvement Strategies for Fractal Ideality and Signal Simulation, Fractal and Fractional, 6 (2022) 542.
[20] F. Feng, H.F. Hong, X. Gao*, T. Ren, Y. Ma, P.F. Feng*, Effectiveness of Oxygen during Sintering of Silver Thin Films Derived by Nanoparticle Ink, Nanomaterials, 12 (2022) 1908.
[21] F. Feng, M. Yuan, Y.S. Xia, H.M. Xu, P.F. Feng*, X.H. Li*, Roughness Scaling Extraction Accelerated by Dichotomy-Binary Strategy and Its Application to Milling Vibration Signal, Mathematics, 10 (2022) 1105.
[22] X.Y. Mei, H.M. Xu, P.F. Feng, M. Yuan, C. Xu, Y. Ma, F. Feng*, Online chatter monitor system based on rapid detection method and wireless communication, The International Journal of Advanced Manufacturing Technology, 122 (2022) 1321-1337.
[23] J. Xu, P.F. Feng, F. Feng*, H.T. Zha*, G.Q. Liang, Subsurface damage and burr improvements of Aramid Fiber Reinforced Plastics by using longitudinal-torsional ultrasonic vibration milling. Journal of Materials Processing Technology, 297 (2021) 117265.
[24] Z.W. Li, X. Qian, F. Feng*, T.M. Qu, Y.S. Xia, W.M. Zhou, A continuous variation of roughness scaling characteristics across fractal and non-fractal profiles. Fractals-Complex Geometry Patterns and Scaling in Nature and Society, 29 (2021) 2150109.
[25] G. Zhou, X.H. Wang, F. Feng*, P.F. Feng, M. Zhang*, Calculation of fractal dimension based on artificial neural network and its application for machined surfaces. Fractals-Complex Geometry Patterns and Scaling in Nature and Society, 29 (2021) 2150129.
[26] Z.R. Yang, T.M. Qu, F. Feng*, L.L. Wang, P.F. Feng, Wrinkling surface of mono-layered thin film derived by using trifluoroacetate solution, Journal of Sol-Gel Science and Technology, 99 (2021) 13-24.
[27] W.M. Zhou, J.C. Lin, F. Feng*, Y. Ma, H.T. Zha, W. Ji, E.L. Jiang, Z.P. Cai, P.F. Feng*, Performance improvement of carbide cutting tool for Ti6Al4V alloys using electromagnetic treatment, The International Journal of Advanced Manufacturing Technology, 113 (2021) 1547–1560.
[28] Z.W. Li, D.W. Yu, J. Cui, P.F. Feng, F. Feng*, Influences of Brass Surface Morphology on Leidenfrost Effect during Liquid Nitrogen Cooling, Applied Sciences, 11 (2021)10323.
[29] Z.W. Li, J. Li, Y.S. Xia, P.F. Feng, F. Feng*, Variation Trends of Fractal Dimension in Epileptic EEG Signals, Algorithms, 14 (2021) 316.
[30] L.L. Wang, T.M. Qu, F. Feng*, S.N. Zou*, Z.R. Yang, Z.X. Ma, P.F. Feng, Improvement of bi-layered YBCO superconducting films by using Ag and Au interlayers, Ceramics International, 46 (2020) 3394-3399.
[31] W.M. Zhou, X.H. Li, F. Feng*, T.M. Qu, J.L. Huang, X. Qian, H.T. Zha, P.F. Feng*, Robustness of Surface Roughness against Low Number of Picture Elements and Its Benefit for Scaling Analysis, Coatings, 10 (2020) 776.
代表性著作
主要专利成果
其他成果
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荣誉奖项
[1] 指导硕士生卢弘愿(2014级)获2017年北京市优秀毕业生;
[2] 指导硕士生符其树(2015级)获2018年北京市优秀毕业生;
[3] 指导硕士生刘彬彬(2016级)获2018年国家奖学金、2019年清华大学优秀硕士学位论文;
[4] 指导硕士生黄俊龙(2017级)获2019年国家奖学金;
[5] 指导硕士生周文萌(2018级)获2020年国家奖学金、2021年清华大学优秀硕士学位论文;
[6] 参与项目“实用化高温超导磁体研制的关键技术及应用”(排名5/10)获2021年度中国电工技术学会科学技术二等奖;
[7] 指导硕士生袁梦(2020级)获2022年国家奖学金、2023年北京市优秀毕业生;
[8] 指导硕士生张可欣(2021级)获2023年国家奖学金、2024年清华大学优秀硕士学位论文;
[9] 指导硕士生乐祺中(2021级)获2024年清华大学优秀毕业生、2024年清华大学优秀硕士学位论文;
[10] 负责项目“用于极度锋利切削刀具的监控设备”(排名1/7)获2024年日内瓦国际发明展银奖。