【概况】

【教育背景】

1983.09-1987.07 天津理工大学机械制造专业，本科生，获工学学士 1991.09-1993.03 天津大学机械制造工程专业，硕士研究生，获工学硕士 1995.04-1999.09 天津大学机械制造工程专业，博士研究生，获工学博士

【学术经历】

1993.04-1995.05 天津大学机械工程系，助教 1995.06-2001.07 天津大学机械工程系，讲师 2001.07-2008.07 天津大学机械工程学院机械工程系，副教授 2008.07-至今 天津大学机械工程学院机械工程系，教授 2004年4月-2004年10月 英国Liverpool J.M.大学先进制造技术实验室（AMTReL）高访学者 2006年6月-2006年10月 英国Nottingham大学M3学院先进制造工程实验室客座研究员

【讲授课程】

机械制造技术基础 工程制图基础 精密加工与纳米技术 金属切削理论

【教学成果】

【研究方向】

硬脆材料精密、超精密加工理论与关键技术 数控加工工艺与装备 故障诊断与动态监控

【学术兼职】

中国机械工程学会高级会员 中国机械工程学会生产工程分会磨粒加工专业委员会委员 全国切削与先进制造技术学会委员常务理事

【科研项目及成果】

主要科研项目： 1. 国家自然科学基金面上项目，基于激光声表面波的硬脆材料加工表面/亚表面残余应力检测理论与方法研究，项目负责人； 2. 国家自然科学基金面上项目，先进陶瓷磨削表面力学损伤评价及其可控磨削技术研究，项目负责人； 3. 先进陶瓷磨削表面/亚表面力学损伤评价及其可控磨削技术研究，国家自然科学基金，项目负责人； 4. 国家自然科学基金面上项目，基于激光表面波技术的硬脆材料加工表面/ 亚表面损伤检测理论与方法研究，项目负责人； 5. 国家自然科学基金面上项目，工程陶瓷精密磨削表面损伤及形貌特征 表征技术研究，项目负责人； 6. 分子动力学微观超精密磨削理论物理建模与动态仿真技术，国家自然科学基金，项目完成人； 7. 国家科技重大专项项目，核工业专用零部件制造装备换脑工程（子课题），项目负责人； 8. 国家科技重大专项项目， DLTT-125大型薄壁回转体零件高速精 密数控车床（子课题），项目负责人； 9. 国家自然科学基金委员会与英国皇家学会国际合作项目，陶瓷磨削表面残余应力理论与实验研究，中方项目负责人； 10. 国家973计划项目，2014CB046603，新一代超大型运载火箭薄壁结构制造的科学问题 （课题三：弱刚性薄壁构件的近恒刚度加工及其误差自适应补偿），参与； 11.国家自然科学基金面上项目,半导体材料延性加工表面的光声微纳表征技术研究，项目负责人，2026.01-2029.12

【代表性论著】

1.Optoacoustic assessment of cutting tool wear using laser-induced wedge waves[J]. Journal of Manufacturing Processes, 2026, 172: 251-260. (JCR/Q1, TOP) 2.Laser-induced surface acoustic waves for probing ductile machining-induced subsurface damage[J]. International Journal of Mechanical Sciences, 2026: 114471. (JCR/Q1, TOP) 3.A multiscale peridynamic model for surface acoustic wave-defect interactions[J]. Ultrasonics, 2025: 107934. (JCR/Q1) 4.Mixed-frequency surface acoustic wave generation and applications via non-uniformly spaced grating masks[J]. Journal of Vibration and Control, 2025: 10775463261430275. (JCR/Q1) 5.Evaluation of fatigue damage of structural steel based on attenuation of laser-induced surface acoustic wave[J]. Nondestructive Testing and Evaluation, 2025, 40(9): 4280-4294. (JCR/Q1) 6.Investigation into NSAW excitation and modulation utilizing the grating mask technique[J]. Applied Acoustics, 2025, 227: 110230. (JCR/Q1) 7.Semi-analytical peridynamic method for modal analysis of acoustoelastic Lamb waves[J]. International Journal of Mechanical Sciences, 2025, 285: 109854. (JCR/Q1, TOP) 8.Laser-excited surface acoustic wave method for detecting subsurface damage of processed silicon nitride ceramics[J]. Ceramics International, 2024, 50(21): 42081-42091. (JCR/Q1) 9.An approximate formula for the Rayleigh wave velocity in the machined surface with residual stress[J]. Journal of Vibration and Control, 2024, 30(17-18): 4146-4156. (JCR/Q1) 10.Nonlinear surface acoustic wave characterization of single crystal copper: A molecular dynamics study[J]. Materials Today Communications, 2024, 40: 110053. (JCR/Q1) 11.Molecular dynamics of monocrystal copper nano-scratched with tungsten tip[J]. Materials Today Communications, 2024, 40: 109714. (JCR/Q1) 12.Investigation of acoustoelastic surface acoustic waves in prestressed media[J]. Journal of Sound and Vibration, 2024, 571: 118024. (JCR/Q1) 13.Peridynamic modeling of nonlinear surface acoustic waves propagating in orthotropic materials[J]. Ultrasonics, 2023, 134: 107067. (JCR/Q1) 14.Detection of surface defects based on the optimized scanning laser source method[J]. Wave Motion, 2023, 118: 103113. (JCR/Q1) 15.Multimode photoacoustic characterization of subsurface damage in ground thin wafers[J]. International Journal of Mechanical Sciences, 2023, 238: 107845. (JCR/Q1, TOP) 16.Study on dispersion and attenuation of laser-induced surface acoustic wave by grinding surface roughness[J]. Applied Acoustics, 2022, 199: 109028. (JCR/Q1) 17.Fracture of single crystal silicon caused by nonlinear evolution of surface acoustic waves[J]. Engineering Fracture Mechanics, 2022, 269: 108505. (JCR/Q1, TOP) 18.Study on dispersion and attenuation of laser-induced surface acoustic wave by grinding surface roughness[J]. Applied Acoustics, 2022, 199: 109028. (JCR/Q1) 19. Quantifying the subsurface damage and residual stress in ground silicon wafer using laser ultrasonic technology: A Bayesian approach[J]. Mechanical systems and signal processing, 2022, 173: 109008. (SCI Journal, JCR/Q1, TOP) 20. Study on the relationship between the damage of machined surface layer and the dispersion curve of laser-induced surface acoustic wave[J]. Optics & Laser Technology, 2022, 148: 107667. (SCI Journal, JCR/Q1) 21. Evaluation of the surface damage of brittle materials based on the attenuation of laser-induced surface acoustic wave[J]. Applied Acoustics, 2022, 189: 108617. (SCI Journal, JCR/Q1) 22. Analysis of amplitude and frequency detection error of surface acoustic wave generated by laser line source[J]. Applied Acoustics, 2021, 177: 107934. (SCI Journal, JCR/Q1) 23. Numerical simulation of laser-generated Rayleigh wave pulses propagation in the machined surface with residual stress using finite-difference method[J]. Optik, 2021, 248: 168072. (SCI Journal, JCR/Q2) 24. Inversion of surface damage and residual stress in ground silicon wafers by laser surface acoustic wave technology[J]. Ultrasonics, 2021, 113: 106367. (SCI Journal, JCR/Q1) 25. Synchrosqueezed wavelet transform-based method for characterizing the dispersive nature of laser-excited surface acoustic waves propagating through the coated or damaged medium[J]. Measurement, 2021, 185: 109965. (SCI Journal, JCR/Q1) 26. Study on the effect of laser-assisted machining on tool wear based on molecular dynamics simulation[J]. Diamond and Related Materials, 2020, 109: 108022. (SCI Journal, JCR/Q1) 27. Time-frequency analysis of laser-excited surface acoustic waves based on synchrosqueezing transform[J]. Ultrasonics, 2020, 106: 106147. (SCI Journal, JCR/Q1) 28. Analysis of velocity calculation methods of laser-induced surface acoustic wave[J]. Ultrasonics, 2020, 100: 105985. (SCI Journal, JCR/Q1) 29. Analysis of local features of engineering ceramics grinding surface[J]. Measurement, 2020, 151: 107205. (SCI Journal, JCR/Q1) 30. Study of laser-induced surface acoustic wave propagating on materials with machined surfaces based on wavelet analysis[J]. Surface and Coatings Technology, 2019, 358: 173-181. (SCI Journal, JCR/Q1, TOP) 31. Dynamic simulation of mirror cutting[J]. The International Journal of Advanced Manufacturing Technology, 2019, 103(9): 4331-4340. (SCI Journal, JCR/Q1) 32. Optimization of variable helix cutter for improving chatter stability[J]. The International Journal of Advanced Manufacturing Technology, 2019, 104(5): 2553-2565. (SCI Journal, JCR/Q1) 33. Analysis of velocity calculation methods of laser-induced surface acoustic wave[J]. Ultrasonics, 2020, 100: 105985. (SCI Journal, JCR/Q1) 34. Modeling of cutting forces in end milling based on oblique cutting analysis[J]. The International Journal of Advanced Manufacturing Technology, 2016, 84(1): 727-736. (SCI Journal, JCR/Q1) 35. Automated inspection of engineering ceramic grinding surface damage based on image recognition[J]. The International Journal of Advanced Manufacturing Technology, 2013, 66(1): 431-443. (SCI Journal, JCR/Q1) 36. Study on the optimization of cutting parameters in turning thin-walled circular cylindrical shell based upon cutting stability. The International Journal of Advanced Manufacturing Technology, 2013, 69(1): 891-899. (SCI Journal, JCR/Q1) 37. Fractal analysis of engineering ceramics ground surface, Applied Surface Science 258 (2012): 6406– 6415. (SCI Journal, JCR/Q1, TOP) 38. Study on the convection heat transfer coefficient of coolant and the maximum temperature in the grinding process[J]. The International Journal of Advanced Manufacturing Technology, 2009, 42(11): 1175-1186. (SCI Journal, JCR/Q1) 39. An experimental study on molecular dynamics simulation in nanometer grinding[J]. Journal of Materials Processing Technology, 2003, 138(1-3): 484-488. (SCI Journal, JCR/Q1, TOP) 40. Investigation of tool geometry in nanometric cutting by molecular dynamics simulation[J]. Journal of materials processing technology, 2002, 129(1-3): 105-108. (SCI Journal, JCR/Q1, TOP) 41. Study of synthesis identification in the cutting process with a fuzzy neural network[J]. Journal of materials processing technology, 2002, 129(1-3): 131-134. (SCI Journal, JCR/Q1, TOP) 42. Analysis of material removal in alumina ceramic honing[J]. Journal of materials processing technology, 2002, 129(1-3): 167-170. (SCI Journal, JCR/Q1, TOP)