[1] 参与国家自然科学基金(面上基金)：面向航空钛合金叶轮的加工振动正反问题基础理论及应用研究(51975112)，2020/1-2023/12，60万。

[2] 参与国家自然科学基金(面上基金)：基于过程阻尼效应的五轴车铣加工钛合金叶轮颤振稳定性研究(51475087)，2015/1--2018/12，60万。

[3] 参与辽宁省“兴辽计划”青年拔尖人才：面向航空叶片的增减材混合加工控形控性的研究 (XLYC1807063)，2019/1-2021/12，50万。

[1] BolingYan;Yanpeng Hao; Lida Zhu*; Changfu Liu. Towards high milling accuracy of TurbineBlades: A Review [J], Mechanical Systems and Signal Processing, 2022(170): 108727,(SCI JCR Q1 影响因子8.4).

[2] Boling Yan, Lida Zhu*,etal. Tool wear monitoring of TC4 titanium alloy milling process based onmulti-channel signal and time-dependent properties by using deep learning [J],Journal of Manufacturing Systems, 2021(61):495-508, (SCI JCR Q1 影响因子12.1).

[3] LidaZhu*1, Boling Yan1, et al. Inspection of BladeProfile and Machining Deviation Analysis Based on Sample Points Optimizationand NURBS Knot Insertion [J], Thin-Walled Structures,2021(162):1-12.(SCI JCR Q1影响因子5.881).

[4] Boling Yan, LidaZhu*, et al. Identificationof Milling Information and Cutter-Workpiece Engagement in Five-Axis Finishingof Turbine Blades Based on NURBS and NC Codes [J], Applied MathematicalModelling.( SCI JCR Q1 影响因子5.336,).

[5] Boling Yan, LidaZhu*, et al. Investigationon Five-Axis Milling Stability Based on Numerical Modeling and Solution Methods[J], Journal of Sound and Vibration.( SCI JCR Q1 影响因子4.761).

[6] Boling Yan, Lida Zhu*, ChangfuLiu. Prediction model of peripheral milling surface geometry consideringcutting force and vibration [J], The International Journal of AdvancedManufacturing Technology, 2020(110):1429-1443.(SCI JCR Q2 影响因子3.563).

[7] Boling Yan，LidaZhu*. Research on milling stability of thin-walled parts based on improvedmulti-frequency solution [J], International Journal of Advanced ManufacturingTechnology 2019(102):431-441 (SCI JCR Q2, 影响因子3.563).