高栋 - 哈尔滨工业大学 - 机电工程学院

个人简介

高栋，工学博士，哈尔滨工业大学研究生院常务副院长，任中国刀协切削先进技术研究会东北区副理事长，中国机械工程学会高级会员。目前主要从事数控机床误差补偿技术、绿色制造、机器人原位加工技术等领域的研究。共发表学术论文50余篇，其中SCI检索论文20余篇，曾获“黑龙江省科学技术一等奖”1项，“中国高校自然科学二等奖”1项，“国家教委科技进步三等奖”1项，“全国普通高等学校优秀教材二等奖”1项。主要学习和工作简历 1989年9月-1993年7月：哈尔滨工业大学机械工程系读本科 1993年9月-1999年4月：哈尔滨工业大学机械制造及其自动化学科硕博连读 1997年4月-2005年2月：香港理工大学助理研究员（1997年-1999年）副研究员（2001年-2005年） 2001年8月-2007年8月：任哈尔滨工业大学机电学院、深圳研究生院副教授（2003年-2005年） 2005年12月-2011年6月：任哈尔滨工业大学机械制造及自动化系副主任、机电工程学院副院长（2008年） 2007年8月- 目前：任哈尔滨工业大学机电学院教授、博士生导师（2008年） 2011年6月- 目前：任哈尔滨工业大学研究生院副院长、常务副院长（2019年）

研究领域

可持续制造技术重型数控机床误差补偿超大构件现场可重构加工

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Zhang P, Gao D, Lu Y, et al. A novel smart toolholder with embedded force sensors for milling operations[J]. Mechanical Systems and Signal Processing, 2022, 175: 109130. Zhang P, Gao D, Lu Y, et al. Online chatter detection in milling process based on fast iterative VMD and energy ratio difference[J]. Measurement, 2022: 111060. Zhang P, Gao D, Lu Y, et al. Development and testing of a wireless multi-axis toolholder dynamometer for milling and drilling process[J]. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2022: Jiang Z, Gao D, Lu Y, et al. Optimisation of cutting parameters for minimising carbon emissions and cost in the turning process[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2022, 236(4): 1973-1985. Kong L, Gao D, Lu Y, et al. Experimental investigation on machining performance during orbital drilling of CFRP[J]. The International Journal of Advanced Manufacturing Technology, 2022: 1-11. Kong L, Gao D, Lu Y. Novel tool for damage reduction in orbital drilling of CFRP composites[J]. Composite Structures, 2021, 273: 114338. Kong L, Gao D, Lu Y. Comparative analysis of the machining temperatures of an end mill and a novel tool in the orbital drilling of CFRP composites[J]. The International Journal of Advanced Manufacturing Technology, 2021, 115(11): 3713-3729. Zhendong Shang, Dong Gao, Zhipeng Jiang, YongLu. A multi-perspective analysis of sustainability of machining processes based on a new extended virtual manufacturing framework. Energy Volume 225, 15 June 2021, 120257 . Jiang Z , Gao D , Lu Y , et al. Quantitative Analysis of Carbon Emissions in Precision Turning Processes and Industrial Case Study[J]. International Journal of Precision Engineering and Manufacturing-Green Technology, 2021, 8(1):205-216. Linghao Kong, Dong Gao, Yong Lu, Zhipeng Jiang. Novel orbital drilling and reaming tool for machining holes in carbon fiber–reinforced plastic (CFRP) composite laminates[J]. The International Journal of Advanced Manufacturing Technology, 2020,110(3), 977-988. Liao Z, Axinte D, Gao D. On modelling of cutting force and temperature in bone milling[J]. Journal of Materials Processing Technology, 2019, 266: 627-638. Jiang Z, Gao D, Lu Y, et al. Optimization of cutting parameters for trade-off among carbon emissions, surface roughness, and processing time[J]. Chinese journal of mechanical engineering, 2019, 32(1): 1-18. Shang Z, Gao D, Jiang Z, et al. Towards less energy intensive heavy-duty machine tools: Power consumption characteristics and energy-saving strategies[J]. Energy, 2019, 178: 263-276. Zhengdong Shang, Dong Gao, Zhipeng Jiang and Yong Lu. Developing a new energy performance indicator for spindle system based on power flow analysis. Part B:Journal of Engineering Manufacture, Vol 233, Issue 6, 2019. Zhipeng Jiang, Dong Gao ,Yong Lu. Electrical energy consumption of CNC machine tools based on empirical modelling. The International Journal of Advanced Manufacturing Technology, 2019, V100, Issue 9–12, pp 2255–2267. Shang, Z., Gao, D., Jiang, Z., & Lu, Y. (2018). Developing a new energy performance indicator for the spindle system based on power flow analysis. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture Jiang, Z., Gao, D., Lu, Y., Kong, L., & Shang, Z. (2018). Electrical energy consumption of CNC machine tools based on empirical modeling. The International Journal of Advanced Manufacturing Technology. Liao, Z., Axinte, D. A., & Gao, D. (2017). A novel cutting tool design to avoid surface damage in bone machining. International Journal of Machine Tools and Manufacture, 116, 52–59. Liao, Z., Gao, D., Lu, Y., & Lv, Z. (2016). Multi-scale hybrid HMM for tool wear condition monitoring. The International Journal of Advanced Manufacturing Technology, 84(9), 2437–2448. Gao, D., Liao, Z., Lv, Z., & Lu, Y. (2015). Multi-scale statistical signal processing of cutting force in cutting tool condition monitoring. The International Journal of Advanced Manufacturing Technology, 80(9), 1843–1853. Lu, Y., Zhang, M., & Gao, D. (2014). Connection stiffness and dynamical docking process of flux pinned spacecraft modules. Journal of Applied Physics, 115(6), 97–112 Lu, Y., Zhang, M., & Gao, D. (2013). Lateral Force and Lateral Connection Stiffness of Flux Pinned Docking Interface. Journal of Superconductivity and Novel Magnetism, 26(10), 3027–3036. Cui, G., Lu, Y., Li, J., Gao, D., & Yao, Y. (2012). Geometric error compensation software system for CNC machine tools based on NC program reconstructing. The International Journal of Advanced Manufacturing Technology, 63(1), 169–180. Hao, Z., Gao, D., Fan, Y., & Han, R. (2011). New observations on tool wear mechanism in dry machining Inconel718. International Journal of Machine Tools and Manufacture, 51(12), 973–979. Dong, G., Zhaopeng, H., Rongdi, H., Yanli, C., & Muguthu, J. N. (2011). Study of cutting deformation in machining nickel-based alloy Inconel 718. International Journal of Machine Tools and Manufacture, 51(6), 520–527.