郝砚鹏，男，1995年10月，工学博士，讲师。

联系方式

电子邮件：1559935624@qq.com

研究方向

1.数字化设计与制造

2.复杂曲面精密加工及智能诊断

教育背景

2020.09-2026.04  东北大学  机械工程  工学博士

2023.12-2025.02  The University of British Columbia  联培博士  AMP实验室

2018.09-2020.07  东北大学  机械制造及其自动化  工学硕士

2014.09-2018.07  天津工业大学  机械工程  工学学士

工作履历

2026.04-至今 东北大学秦皇岛分校  控制工程学院  讲师

学术兼职

Information Fusion、Mechanical Systems and Signal Processing、Journal of Manufacturing Processes、Measurement、Knowledge-Based Systems等国际期刊审稿。

科研情况

主持东北大学秦皇岛分校科研启动项目

奖励与荣誉

第十八届切削与先进制造技术学术会议，优秀博士研究工作论文奖，中国机械工业金属切削刀具技术协会

学术成果

1. Hao Y, Zhu L, Qin S, et al. Hybrid data and vision-driven intelligent chatter monitoring and multi-condition diagnosis for advanced five-axis milling system, Journal of Manufacturing Processes, 2025, 156: 284-313.

2. Hao Y, Zhu L, Qin S, et al. On-machine inspection and compensation for thin-walled parts with sculptured surface considering cutting vibration and probe posture, International Journal of Extreme Manufacturing, 2024, 6(6): 065602.

3. Hao Y, Zhu L, Wang J, et al. Ball-end tool wear monitoring and multi-step forecasting with multi-modal information under variable cutting conditions. Journal of Manufacturing Systems, 2024, 76: 234-258.

4. Zhu L, Hao Y, Qin S, et al. On-machine measurement and compensation of thin-walled surface. International Journal of Mechanical Sciences, 2024, 271: 109308.

5. Hao Y, Zhu L, Yan B, et al. Milling chatter detection with WPD and power entropy for Ti-6Al-4V thin-walled parts based on multi-source signals fusion. Mechanical Systems and Signal Processing, 2022, 177: 109225.

6. Qin S, Hao Y, Zhu L, et al. CWE identification and cutting force prediction in ball-end milling process. International Journal of Mechanical Sciences, 2023, 239: 107863.

7. Yan B, Hao Y, Zhu L, et al. Towards high milling accuracy of turbine blades: A review. Mechanical Systems and Signal Processing, 2022, 170: 108727.

8. 朱立达，郝砚鹏，等. 一种智能五轴控制系统及方法. ZL 2021 1 1180910.9. 2024/08/27–发明专利授权