代表性论文专著
[1] Zhou HX, Li ZL*, Pan LY, Tian JJ, Zhu LM. Online Chatter Detection via Lightweight Deep Learning Framework with Efficient Signal Pre-processing. Mechanical Systems and Signal Processing, 2024
[2] Wang R, Li ZL*, Fan Z, Zhang XQ, Ren MJ, Zhu LM. Surrogate-model-based dwell time optimization for atmospheric pressure plasma jet finishing. International Journal of Mechanical Sciences, 2024
[3] Wang R, Fan Z, Yu N, Zhu ZW, Ren MJ, Zhang XQ, Li ZL*, Zhu LM. Optimization and test of a ring-ring typed atmospheric pressure plasma jet for optical fabrication[J]. Precision Engineering, 2024, 88: 718-728.
[4] Li K, Li ZL, Jia X, et al. A domain adversarial graph convolutional network for intelligent monitoring of tool wear in machine tools[J]. Computers & Industrial Engineering, 2024, 187: 109795.
[5] 李洲龙,王锐,范哲,朱利民*. 大气等离子体射流加工的热误差在线补偿方法[J]. 机械工程学报, 2023, 59(21): 75-84.
[6] Li ZL, Wang R, Zhang XQ, Ren MJ, Zhu LM*. B-spline surface approximation method for achieving optimum dwell time in deterministic polishing[J]. Journal of Materials Processing Technology, 2023: 118031.
[7] Wang R, Li ZL*, Ren MJ, Zhu LM. A registration-based stitching method for obtaining high-accuracy material removal distribution in the sub-aperture polishing process[J]. Precision Engineering, 2022, 77: 251–262.
[8] Huang WW, Li LL, Li ZL*, Zhu ZW, Zhu LM*. Robust high-bandwidth control of nano- positioning stages with Kalman filter based extended state observer and H ∞ control. The Review of scientific instruments, 2021, 92(6):065003.
[9] Xiong G, Li ZL, Ding Y, Zhu LM*. A closed-loop error compensation method for robotic flank milling. Robotics and Computer-Integrated Manufacturing, 2020, 63: 101928.
[10] Chen ZZ, Li ZL, Niu JB, Zhu LM*. Chatter detection in milling processes using frequency-domain Rényi entropy. International Journal of Advanced Manufacturing Technology, 2020, 106: 877–90.
[11] Xiong G, Li ZL, Ding Y, Zhu LM*. Integration of optimized feedrate into an online adaptive force controller for robot milling. International Journal of Advanced Manufacturing Technology, 2020, 106: 1533-1542.
[12] Li ZL, Zhu LM*. Compensation of deformation errors in five-axis flank milling of thin-walled parts via tool path optimization. Precision Engineering, 2019, 55: 77-87.
[13] Wang XZ, Li ZL, Bi QZ, Ding H, Zhu LM*. An accelerated convergence approach for real-time deformation compensation in large thin-walled parts machining. International Journal of Machine Tools and Manufacture, 2019, 142: 98-106.
[14] Li ZL, Tuysuz O, Zhu LM, Altintas Y*. Surface form error prediction in five-axis flank milling of thin-walled parts. International Journal of Machine Tools and Manufacture, 2018, 128: 21-32.
[15] Altintas Y*, Tuysuz O, Habibi M, Li ZL. Virtual compensation of deflection errors in ball end milling of flexible blades. CIRP Annals Manufacturing Technology, 2018, 67(1): 365-368.
[16] Li ZL, Zhu LM*. An Accurate method for determining cutter-workpiece engagements in five-axis milling with a general tool considering cutter runout. Trans. of the ASME, Journal of Manufacturing Science and Engineering, 2018, 140(2): 021001.
[17] Li ZL, Ding Y, Zhu LM*. Accurate Cutting force prediction of helical milling operations considering the cutter runout effect. International Journal of Advanced Manufacturing Technology, 2018, 92(9-12): 4133-4144.
[18] Li ZL, Zhu LM*. Mechanistic Modeling of five-axis machining with a flat end mill considering bottom edge cutting effect. Trans. of the ASME, Journal of Manufacturing Science and Engineering, 2016, 138(11): 111012.
[19] Li ZL, Niu JB, Wang XZ, Zhu LM*. Mechanistic modeling of five-axis machining with a general end mill considering cutter runout. International Journal of Machine Tools and Manufacture, 2015, 96: 67-79.
[20] Li ZL, Zhu LM*. Arc-surface intersection method to calculate cutter-workpiece engagements for generic cutter in five-axis milling. Computer-Aided Design, 2015, 73: 1-10.
[21] Li ZL, Zhu LM*. Envelope Surface modeling and tool path optimization for five-axis flank milling considering cutter runout. Trans. of the ASME, Journal of Manufacturing Science and Engineering, 2014, 136(4): 041021.