导师风采 Supervisor's Information

冯平法，清华大学机械工程系长聘教授，深圳国际研究生院先进制造学部主任。1987年和1989年在清华大学获工学学士、硕士学位，2003年在德国柏林工业大学获工学博士学位。担任国家级精品课“制造工程基础”课程负责人。在高效精密加工工艺与装备领域取得一系列研究成果并获得工业应用。主持完成国家973计划、重大专项、自然科学基金、国际合作及企业合作课题20余项，获中国机械工业科学技术进步二等奖1项，出版专著1部，发表论文300多篇，国家发明专利100余项。

1982/09-1989/12，清华大学精密仪器与机械学系，本科、硕士学习；

1989/12-1998/08，清华大学精密仪器与机械学系，助教、讲师；

1998/09-2009/12，清华大学精密仪器与机械学系，副教授；

1999/04-2003/08，柏林工业大学机床与工厂管理研究所，访问学者、博士学习；

2006/12-2012/12，清华大学精密仪器与机械学系副主任、党委书记；

2009/12-2012/12，清华大学精密仪器与机械学系，教授；

2013/01-至今，清华大学机械工程系，教授/长聘教授；

2015/07-至今，兼任深圳国际研究生院先进制造学部主任。

研究生课程：智能制造技术基础，精密与特种加工，制造装备设计与性能分析

本科生课程：制造工程基础（国家级精品课，国家级精品资源课程），互换性与技术测量

超声加工工艺与装备；高速高效切削工艺与装备；数控加工精度原位检测；制造装备性能分析与优化；智能制造。

1.    国家自然科学基金项目：大功率超磁致伸缩旋转超声加工系统的谐振频率自动跟踪方法与振幅稳定性控制策略（2018-2022）；

2.    国家自然科学基金项目：直驱式超磁致伸缩旋转超声加工系统设计理论及其非完全谐振下的振幅稳定性研究（2023-2026）；

3.    中德科学家合作项目：力热载荷作用下机器人铣削误差在线补偿及颤振监控（2020-2023）；

4.    国防基础科研计划重点项目：大型复杂多型腔箱体智能加工生产线系统集成技术（2020-2023）；

5.    深圳市基础研究项目（学科布局）：金属玻璃表面织构化光学模具的椭圆超声精密加工技术研究（2020-2022）；

6.    深圳市基础研究项目（稳定支持）：可重构柔性装配中心关键技术研究（2021-2023）。

1.     近年来致力于硬脆材料、钛合金、复合材料等难加工材料的超声加工技术与装备研究，牵头完成的“大功率旋转超声加工系统设计理论与方法”成果通过技术鉴定，鉴定委员会认为“项目技术难度大、创新性强，整体技术达到国际先进水平，其中超磁致伸缩超声换能器能量传输结构与稳定控制技术处于国际领先水平”。超声加工方面的研究成果实现成果转化，孵化成立深圳市青鼎装备有限公司，主要面向制造企业提供难加工材料高效超声精密加工整体解决方案，拥有核心技术包括：超声加工核心部件、超声控制驱动器、超声系统集成方案、工艺应用技术等。

2.     主持开发“数控机床加工精度原位检测系统ThuOMI”在成飞制造公司获得工程应用，解决了大型结构件加工精度的在线检测问题。

3.     在数控机床结合面特性及整机性能分析技术方面，提出了一整套机床典型结合面特性理论模型和参数辨识方法，研发了机床典型结合面特性资源库及整机静动特性分析软件，提出了耦合结合面特性的机床整机静动热态性能分析与优化策略，在机床典型结合面静动热特性参数资源库集成及应用达到国际领先。获中国机械工业科学技术进步二等奖。

[1]     Z. Sun, PF. Feng, L. Zeng*, SQ. Zhang, X. Cheng. Adaptive Machining Scheme for a Multi-Hole Part with Multi-Position Accuracy Tolerances. Journal of Advanced Manufacturing Technology, 121(2022), 1-2: 661-670

[2]     JC. Yang, PF. Feng, JF. Zhang, JJ. Wang*. Design optimization of ultrasonic vibration cutting tool to generate well-decoupled elliptical trajectory. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 119 (2022), 11-12: 7199-7214

[3]     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) , 10: 542.

[4]     F. Feng, M. Yuan, YS. Xia, HM. Xu, PF. Feng*, XH. Li*. Roughness Scaling Extraction Accelerated by Dichotomy-Binary Strategy and Its Application to Milling Vibration Signal. MATHEMATICS, 10 (2022), 7: 1105

[5]     K. Ma, JJ. Wang, JF. Zhang*, PF. Feng, DW. Yu, S. Ahmad. A force-insensitive impedance compensation method for giant magnetostriction ultrasonic cutting system of Nomex honeycomb composites. COMPOSITE STRUCTURES, 294(2022): 115708

[6]     X. Cheng, XP. Liu, PF. Feng, L. Zeng*, HY. Jiang, Z. Sun, SQ. Zhang. Efficient adaptive sampling methods based on deviation analysis for on-machine inspection. Measurement, 188(2022): 110497

[7]     WT. Luo, PF. Feng, JF. Zhang*, DW. Yu, ZJ. Wu. A novel deep convolution generative adversarial transfer learning model for data-driven assembly quality diagnosis. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 42(2022), 3: 2727-2741

[8]     JF. Zhang, K. Ma, JJ. Wang*, PF. Feng, S. Ahmad. A Fast and Accurate Frequency Tracking Method for Ultrasonic Cutting System via the Synergetic Control of Phase and Current. EEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 69(2022), 2: 902-910

[9]     WT. Luo, JF. Zhang*, PF. Feng, DW. Yu, ZJ. Wu. A temporal-spatial attention-based action recognition method for intelligent fault diagnosis. ISA TRANSACTIONS, 125(2022): 459-473

[10]  JC. Yang, PF. Feng, JF. Zhang, JJ. Wang*. Full wedge-type insert mounting method to improve the vibration reproducibility of ultrasonic cutting system. JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 123(2022), 5-6: 1755-1775

[11]  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 and Fractals, 163 (2022): 112556.

[12]  XY. Mei, HM. Xu, PF. Feng, M. Yuan, C. Xu, Y. Ma, F. Feng*. Online chatter monitor system based on rapid detection method and wireless communication. JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 122(2022), 3-4: 1321-1337

[13]  ZP. Zheng, JF. Zhang, PF. Feng, JJ. Wang*. Fabrication of hierarchical micro/nanostructures on titanium alloy by combining rotary ultrasonic milling and anodizing. MANUFACTURING LETTERS, 34(2022), 34: 43-48

[14]  F. Feng, HF. Hong, X. Gao*, PF. Feng*. Effectiveness of Oxygen during Sintering of Silver Thin Films Derived by Nanoparticle Ink. NANOMATERIALS, 12(2022), 11: 1908

[15]  ZM. Chen, PF. Feng, JJ. Wang*, F. Feng, HT. Zha. Understanding the abnormal effects of ultrasonic vibration on tool wear and surface generation in Zr-based bulk metallic glass cutting. CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOG, 39(2022): 1-17

[16]  J. Xu, PF. 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.

[17]  M. Wei, P. Feng, H. Zha, C. Xu, Y. Ma, F. Feng*. Kinematics and Simulation Analysis of Longitudinal-Torsional Ultrasonic Assisted Grinding of Zirconia Ceramics. Journal of Physics: Conference Series, 2173(2022), 1: 012002

[18]  K. Ma, JJ. Wang, JF. Zhang*, PF. Feng, DW. Yu, S. Ahmad. A highly temperature-stable and complete-resonance rotary giant magnetostrictive ultrasonic system. International Journal of Mechanical Sciences, 214(2022)

[19] Luo, Wentao; Zhang, Jianfu; Feng, Pingfa; Liu, Haochen; Yu, Dingwen; Wu, Zhijun. An adaptive adjustment strategy for bolt posture errors based on an improved reinforcement learning algorithm. APPLIED INTELLIGENCE 2021.

[20] Wentao Luo; Pingfa Feng; Jianfu Zhang*; Yan Ren; Dingwen Yu; Zhijun Wu. Research on a Radiation Model for Bolt-Tightening Force Attenuation of Wheel-Type Parts. IEEE Access 2019(7): 157459-70.

[21] Pang, Yu; Feng, Pingfa; Zhang, Jianfu*; Ma, Yuan; Zhang, Qiaoli. Frequency coupling design of ultrasonic horn with spiral slots and performance analysis of longitudinal-torsional machining characteristics. International Journal of Advanced Manufacturing Technology 2020, 106(9-10): 4093-4103.

[24] Wang J, Feng P, Zhang J. Reducing edge chipping defect in rotary ultrasonic machining of optical glass by compound step-taper tool. Journal of Manufacturing Processes, 2018, 32: 213-221.

[25] Wang J, Feng P, Zhang J. Experimental study on vibration stability in rotary ultrasonic machining of ceramic matrix composites: cutting force variation at hole entrance. Ceramics International, 2018, 44(12), 14386-14392.

[26] Zhihang Lin, Jianfu Zhang, Pingfa Feng, Dingwen Yu, Zhijun Wu. Modeling and optimization of thermal characteristics for roll grinders. International Journal of Advanced Manufacturing Technology, 2018(9):1-12.

[27] Wang J, Zhang J, Feng P. Experimental and theoretical investigation on critical cutting force in rotary ultrasonic drilling of brittle materials and composites. International Journal of Mechanical Sciences 2018, 135: 555-564.

[28] Wang J, Zheng J, Feng P. Damage formation and suppression in rotary ultrasonic machining of hard and brittle materials: a critical review. Ceramics International, 2018, 44(12), 14386-14392.

[29] Zha H T, Feng P F, Zhang J F, et al. Material removal mechanism in rotary ultrasonic machining of high volume fraction SiCp/Al composites. International Journal of Advanced Manufacturing Technology 2018, 97(5-8): 2099–2109.

[30] Wang, JJ; Zhang, JF; Feng, PF. Effects of tool vibration on fiber fracture in rotary ultrasonic machining of C/SiC ceramic matrix composites. COMPOSITES PART B-ENGINEERING 2017 (129): 233-242.

[31] Zhou, K; Feng, PF; Xu, C; Zhang, JF; Wu, ZJ. High-order full-discretization methods for milling stability prediction by interpolating the delay term of time-delayed differential equations. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2017 (93), 5-8: 2201-2214.

[32] Xu, C; Feng, PF; Zhang, JF; Yu, DW; Wu, ZJ. Milling stability prediction for flexible workpiece using dynamics of coupled machining system. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2017 (90), 9-12: 3217-3227.

[33] Wang, JJ; Feng, PF; Zha, TJ. Process monitoring in precision cylindrical traverse grinding of slender bar using acoustic emission technology. JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY 2017(31),2: 859-864.

[34] Wang, JJ; Feng, PF; Zhang, JF; Cai, WC; Shen, H. Investigations on the critical feed rate guaranteeing the effectiveness of rotary ultrasonic machining. ULTRASONICS 2017 (74): 81-88.

[35] Wang, JJ; Feng, PF; Zhang, JF; Shen, H. Experimental investigation on the effects of thermomechanical loading on the vibrational stability during rotary ultrasonic machining. MACHINING SCIENCE AND TECHNOLOGY 2017 (21),2: 239-256

[36] Feng, PF; Wang, JJ; Zhang, JF; Zheng, JZ. Drilling induced tearing defects in rotary ultrasonic machining of C/SiC composites. CERAMICS INTERNATIONAL 2017 (43),1: 791-799.

[37] Wang J J, Feng P F, Zhang J F, et al. Modeling the dependency of edge chipping size on the material properties and cutting force for rotary ultrasonic drilling of brittle materials. International Journal of Machine Tools and Manufacture, 2016, 101: 18-27.

[38] Wang J J, Feng P F, Zheng J F, et al. Improving hole exit quality in rotary ultrasonic machining of ceramic matrix composites using a compound step-taper drill. Ceramics International, 2016, 42(12): 13387–13394.

[39] Wang J J, Zha H T, Feng P F, et al. On the mechanism of edge chipping reduction in rotary ultrasonic drilling: a novel experimental method. Precision Engineering, 2016, 44: 231–235.

[40] Ma Yuan, Feng Pingfa, Zhang Jianfu, Wu Zhijun, Yu Dingwen. Prediction of Surface Residual Stress after End Milling based on Cutting Force and Temperature. Journal of Materials Processing Technology，2016, 235: 41-48.

[41] Wang J J, Feng P F, Zhang J F. Reduction of edge chipping in rotary ultrasonic machining by using step drill: a feasibility study. The International Journal of Advanced Manufacturing Technology, 2016, 87:2809–2819.     

[42] Sui, SC, Feng, PF. The influences of tool wear on Ti6Al4V cutting temperature and burn defect. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY. 2016, 85(9-12): 2831-2838.

[43] Li, DX, Feng, PF, Zhang, JF, Wu, ZJ, Yu, DW. Method for modifying convective heat transfer coefficients used in the thermal simulation of a feed drive system based on the response surface methodology. NUMERICAL HEAT TRANSFER PART A-APPLICATIONS, 2016, 69(1): 51-66

[44] Abbasi, Sarwar Ali; Feng, Pingfa; Ma, Yuan; Zhang, Jianfu; Yu, Dingwen; Wu, Zhijun. Influence of microstructure and hardness on machinability of heat-treated titanium alloy Ti-6Al-4V in end milling with polycrystalline diamond tools. International Journal of Advanced Manufacturing Technology,2016, 86 (5-8): 1393-1405.

[45] Ma Yuan, Feng Pingfa, Zhang Jianfu, et al. Energy criteria for machining-induced residual stresses in face milling and their relation with cutting power. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2015, 81(5-8): 1023-1032.

[46] Zhang Jianfu, Wang Dong, Feng Pingfa, et al. Effect of processing parameters of rotary ultrasonic machining on surface integrity of potassium dihydrogen phosphate crystals. ADVANCES IN MECHANICAL ENGINEERING, 2015, 7(9)

[47] Xu Daochun, Feng Pingfa, Li Wenbin, et al. An improved material constitutive model for simulation of high-speed cutting of 6061-T6 aluminum alloy with high accuracy. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2015, 79(5-8): 1043-1053

[48] Wang Jianjian, Zhang Jianfu, Feng Pingfa. Modeling and simulation for the critical bending force of power chucks to guarantee high machining precision. NTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2015, 79(5-8): 1081-1094

[49] Ma Yuan, Yu Dingwen, Feng Pingfa, et al. Finite element method study on the influence of initial stress on machining process. ADVANCES IN MECHANICAL ENGINEERING, 2015, 7(3)

[50] Wang J, Zhang C, Feng P, et al. A model for prediction of subsurface damage in rotary ultrasonic face milling of optical K9 glass. The International Journal of Advanced Manufacturing Technology, 2015: 1-9.

[51] Pingfa Feng, Guiqiang Liang, Jianfu Zhang. Ultrasonic vibration-assisted scratch characteristics of silicon carbide-reinforced aluminum matrix composites. Ceramics International. 2014, 40(7, Part B): 10817-10823.

[52] LI Dianxin, FENG Pingfa, ZHANG Jianfu. Calculation method of convective heat transfer coefficients for thermal simulation of a spindle system based on RBF neural network. International Journal of Advanced Manufacturing Technology. 2014, 70(5-8): 1445-1454

[53] Li D. X., Feng P. F., Zhang J. F., Yu D. W., Wu Z. J. An identification method for key geometric errors of machine tool based on matrix differential and experimental test. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 2014, 228 (17): 3141-3155.

[54] Xu, Daochun; Feng, Pingfa; Li, Wenbin. Research on chip formation parameters of aluminum alloy 6061-T6 based on high-speed orthogonal cutting model. International journal of advanced manufacturing technology. 2014, 72 (5-8): 955-962.

[55] J.F. Zhang, P.F. Feng, C. Chen, D.W. Yu, Z.J. Wu. A method for thermal performance modeling and simulation of machine tools. The International Journal of Advanced Manufacturing Technology. 2013, 68(5-8):1517-1527.

[56] J.F. Zhang, P.F. Feng, Z.J. Wu, D.W. Yu, C. Chen. Thermal structure design and analysis of a machine tool headstock. MECHANIKA. 2013, 19(4): 478-485.

[57] C. L. Zhang, P. F. Feng, J. F. Zhang. Ultrasonic vibration-assisted scratch-induced characteristics of C-plane sapphire with a spherical indenter. International Journal of Machine Tools and Manufacture. 2013, 64(1): 38-48

[58] Feng P F, Zhang C L, Wu Z J, Zhang J F. Effect of scratch velocity on deformation features of C-plane sapphire during nanoscratching. Strojniškivestnik-Journal of Mechanical Engineering, 2013, 59(6): 367-374.

1.    深圳市鹏城学者

2.    北京市优秀教师（2017）

3.    清华大学先进工作者（2008，2014，2016）

4.    清华大学优秀博士论文指导教师（2013，2018，2022）

5.    清华大学第十三届“良师益友”（2012）

6.    国家级精品课（2005）、国家级精品资源课程（2015）“制造工程基础”（课程负责人）

7.    清华大学优秀教学成果特等奖1项、二等奖3项

8.    中国机械工业科学技术进步二等奖（2019）

n  中国刀具协会切削先进技术研究分会常务理事；

n  中国机械工程学会特种加工分会理事；

n  中国机械工程学会特种加工分会超声加工委员会副主任委员；

n  中国机械工程学会生产工程分会机床专业领域委员。