近期主要的代表性论文、著作、专利
论文 [1] Research on the online monitoring method of cutting tool wear based on the mechanism-data fusion concept of digital twin, Journal of Manufacturing Processes, 2025, 148: 386-407. [2] An online cutting tool wear monitoring method based on the integration of DSCNN and pre-training/fine-tuning transfer learning, Digital Engineering, 2026, 9:100085. [3] Design and synthesis of an Al2O3 fiber strengthening (Ti,W)C sandwich cermet tool by spark plasma sintering, Journal of Manufacturing Processes, 2024, 109: 65-78. [4] Stability analysis of milling chatter in six-degree-of-freedom industrial robots, The International Journal of Advanced Manufacturing Technology, 2023, 127: 2861-2880. [5] Simulation of Microscopic Fracture Behavior in Nanocomposite Ceramic Tool Materials, Lubricants, 2023, 11(489): 1-18. [6] 刀具切削变工况数字孪生模型构建方法, 计算机集成制造系统, 2023, 29(6): 1852-1866. [7] 六自由度铣削加工机器人刚度建模及误差补偿, 计算机集成制造系统, 2023, 29(2): 404-418. [8] Research on Fusion Monitoring Method of Turning Cutting Tool Wear Based on Particle Filter Algorithm, IEEE Access, 2021, 9:85903-85917. [9] Microscopic cracking simulation of nanocomposite ceramic tool materials under the consideration of residual stress, International Journal of Advanced Manufacturing Technology, 2018, 94(9-12): 3485–3502. 专利 [1] 铣刀磨损状态的监测方法、系统、设备及介质, 2026-02-24, 中国, ZL202511632783.X [2] 多工况刀具磨损监测模型的构建及其磨损监测方法、系统、设备及介质, 2025-12-02, 中国, ZL202511604226.7 [3] 基于STEP的轴类零件特征识别方法及系统, 2024-12-24, 中国, ZL202411365198.3 [4] 一种基于数字孪生的刀具多工况状态监测方法及系统, 2024-02-06, 中国, ZL202311354287.3 [5] 一种六自由度机器人铣削加工稳定性预测方法及系统, 2023-10-13, 中国, ZL202310219633.0 [6] 一种切削加工机器人的动态误差补偿与控制方法, 2023-06-02, 中国, ZL201911233895.2 [7]一种基于模态分析的切削加工机器人动刚度建模方法, 2023-05-26, 中国, ZL201911234787.7 [8] 切削加工机器人静态误差补偿与动刚度模型的修正方法, 2022-12-27, 中国, ZL201911233906.7 (专利)
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