付国强

副教授

 硕士生导师

报考该导师

报考该导师研究生的方式

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4、如果你有兴趣攻读付国强老师博士研究生,可以通过申请考核或者统一招考等方式报考该导师博士研究生。

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个人信息

学历:博士研究生毕业

学位:工学博士学位

办公地点:西南交通大学九里校区机械馆2322室

毕业院校:浙江大学

所在单位:机械工程学院

学科:机械电子工程

论文成果

第一作者或通讯论文

[22] Fu Guoqiang*, Tao Chun, Xie Yunpeng, Lu Caijiang, Gao Hongli. Temperature-sensitive point selection for thermal error modeling of machine tool spindle by considering heat source regions [J]. The International Journal of Advanced Manufacturing Technology, 2021, 112(9): 2447-2460.

[21] 付国强*, 饶勇建, 谢云鹏, 高宏力, 邓小雷. 几何误差贡献值影响下五轴数控机床运动轴误差灵敏度分析方法 [J]. 中国机械工程, 2020, 31(13): 1518-1528.

[20] 饶勇建, 付国强*, 陶春, 高宏力, 邓小雷. 五轴3D打印的通用后置处理 [J]. 中国机械工程, 1-9.

[19] Fu Guoqiang*, Gu Tengda, Gao Hongli, Lu Caijiang. A postprocessing and path optimization based on nonlinear error for multijoint industrial robot-based 3D printing [J]. International Journal of Advanced Robotic Systems, 2020, 17(5)

[18] Fu Guoqiang*, Tao Chun, Lu Caijiang, Gao Hongli, Deng Xiaolei. A Workspace Visualization Method for a Multijoint Industrial Robot Based on the 3D-Printing Layering Concept [J]. Applied Sciences, 2020, 10(15): 5241.

[17] Fu Guoqiang*, Liu Jing, Rao Yongjian, Gao Hongli, Lu Caijiang, Deng Xiaolei. Geometric error compensation of five-axis ball-end milling based on tool orientation optimization and tool path smoothing [J]. Int J Adv Manuf Technol, 2020, 108(5): 1737-1749.

[16] Fu Guoqiang*, Shi Jinghao, Xie Yunpeng, Gao Hongli, Deng Xiaolei. Closed-loop mode geometric error compensation of five-axis machine tools based on the correction of axes movements [J]. Int J Adv Manuf Technol, 2020, 110(1): 365-382.

[15] Fu Guoqiang*, Gong Hongwei, Fu Jianzhong, Gao Hongli, DengXiaolei. Gometric error contribution modeling and sensitivity evaluating for each axis of five-axis machine tools based on POE theory and transforming differential changes between coordinate frames [J]. International Journal of Machine Tools and Manufacture, 2019, 147(103455).

[14] Fu Guoqiang*, Gong Hongwei, Gao Hongli, Gu Tengda, Cao Zhongqing. Integrated thermal error modeling of machine tool spindle using a chicken swarm optimization algorithm-based radial basic function neural network [J]. Int J Adv Manuf Technol, 2019, 105(5): 2039-2055.

[13] Zhang Li, Gao Hongli*, Dong Dawei, Fu Guoqiang*, Liu Qi. Wear calculation-based degradation analysis and modeling for remaining useful life prediction of ball screw [J]. Mathematical Problems in Engineering, 2018.

[12] Fu Guoqiang*, Gao Hongli, Gu Tengda. A Universal Postprocessor of General Table-Tilting Type of Five-Axis Machine Tools Without Rotational Tool Center Point Function for Actual NC Code Generation. ASME. International Manufacturing Science and Engineering Conference, Volume 4: Processes ():V004T03A067. doi:10.1115/MSEC2018-6525.

[11] Fu Guoqiang*, Gu Tengda, Gao Hongli, Jin Yu’an, Deng Xiaolei. Geometric error compensation for five-axis ball-end milling by considering machined surface textures [J]. Int J Adv Manuf Technol, 2018, 99(5-8): 1235-1248. (SCI, IF=2.601)

[10] Fu Guoqiang, Fu Jianzhong*, Xu Yuetong, Chen Zichen, Lai Jintao. Accuracy enhancement of five-axis machine tool based on differential motion matrix: geometric error modeling, identification and compensation [J]. International Journal of Machine Tools & Manufacture, 2015. 89(0): 170-181.

[9] Fu Guoqiang, Fu Jianzhong*, Xu Yuetong, Chen Zichen. Product of exponential model for geometric error integration of multi-axis machine tools [J]. The International Journal of Advanced Manufacturing Technology, 2014, 71: 1653-1667.

[8] Fu Guoqiang, Fu Jianzhong*, Shen Hongyao, Xu Yuetong, Jin Yu-an, Product-of-exponential formulas for precision enhancement of five-axis machine tools via geometric error modeling and compensation [J]. The International Journal of Advanced Manufacturing Technology, 2015, 81(1-4): 289-305.

[7] Fu Guoqiang, Fu Jianzhong*, Shen Hong, Yao Xinhua, Chen Zichen, NC codes optimization for geometric error compensation of five-axis machine tools with one novel mathematical model [J]. The International Journal of Advanced Manufacturing Technology, 2015, 80(9-12): 1879-1894.

[6] Fu Guoqiang, Fu Jianzhong*, Xu Yuetong, Chen Zichen, Numerical solution of simultaneous equations based geometric error compensation for CNC machine tools with workpiece model reconstruction [J]. The International Journal of Advanced Manufacturing Technology, 2016, 86(5): 2265-2278.

[5] Fu Guoqiang*, Fu Jianzhong, Gao Hongli, Yao Xinhua, Squareness error modeling for multi-axis machine tools via synthesizing the motion of the axes [J]. The International Journal of Advanced Manufacturing Technology, 2017, 89(9-12):2993-3008.

[4] Fu Guoqiang, Fu Jianzhong*, Shen Hongyao, Yao Xinhua, The tool following function-based identification approach for all geometric errors of rotary axes using ballbar [J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2016, 230(19):3509-3527.

[3] Fu Guoqiang, Fu Jianzhong*, Shen Hongyao, Lin Zhiwei, A polygons Boolean operations-based adaptive slicing with SLC files for additive manufacturing [J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2017 (231):2783-2799.

[2] Fu Guoqiang*, Zhang Li, Gao Hongli, Jin Yu’an. F test-based automatic modeling of single geometric error component for error compensation of five-axis machine tools [J]. The International Journal of Advanced Manufacturing Technology, 2018, 94(9-12): 4493-4505.

[1] 付国强, 傅建中*, 沈洪垚. 五轴数控机床旋转轴几何误差辨识新方法[J]. 浙大学报工学版,2015,(05):848-857. (EI)

专利

[17] 付国强; 施景皓;高宏力;鲁彩江;谷腾达;贡宏伟; 旋转轴垂直度误差的误差矢量建模方法, 2021-4-27, 中国, ZL201910203988.4

[16] 付国强; 谢云鹏; 饶勇建; 陶春; 鲁彩江; 高宏力; 郭亮; 一种多关节工业机器人3D打印路径优化方法, 2021-1-12, 中国, ZL202010158956.X

[15] 付国强; 陶春; 谢云鹏; 贡宏伟; 饶勇建; 鲁彩江; 高宏力; 郭亮; 机床主轴热误差建模中温度敏感点组合的分区域选取方法, 2021-3-30, 中国, ZL202010344372.1

[14] 付国强; 刘菁; 高宏力; 鲁彩江; 施景皓; 谷腾达; 贡宏伟; 一种旋转轴位置偏差的误差矢量建模方法, 2021-1-12, 中国, ZL 201910204679.9

[13] 付国强; 饶勇建; 高宏力; 鲁彩江; 贡宏伟; 谷腾达; 施景皓; 五轴机床运动轴几何误差贡献值计算及影响评估方法, 2020-11-6, 中国, ZL201910203966.8

[12] 付国强; 饶勇建; 高宏力; 鲁彩江; 贡宏伟; 谷腾达; 施景皓; 一种五轴机床运动轴灵敏度分析方法, 2020-6-23, 中国, ZL201910204686.9

[11] 付国强; 谷腾达; 贡宏伟; 高宏力; 鲁彩江; 宋兴国; 一种五轴球头铣削几何误差补偿方法, 2020-9-15, 中国, ZL201810282266.8

[10] 付国强; 贡宏伟; 谷腾达; 高宏力; 鲁彩江; 宋兴国; 一种双转台五轴数控机床通用后处理方法, 2020-9-15, 中国, ZL201810282519.1

[9] 付国强; 高宏力; 宋兴国; 曹中清; 一种数控机床旋转轴垂直度误差建模方法, 2020-6-16, 中国, ZL201710231090.9

[8] 付国强; 谷腾达; 高宏力; 宋兴国; 曹中清; 一种基于激光干涉仪的机床平动轴几何误差快速测量方法, 2019-9-13, 中国, ZL201710231122.5

[7]  付国强; 高宏力; 宋兴国; 曹中清; 一种数控机床位置相关几何误差项的建模方法, 2019-3-22, 中国, ZL201611119619.X

[6] 傅建中,付国强,贺永,甘文峰,赖金涛.一种数控机床综合误差可视化方法,发明专利,申请号:201610342889.0(已授权)

[5] 傅建中,付国强,贺永. 一种多轴数控机床转台几何误差六位置辨识方法,发明专利,申请号:201510169259.3(已授权)

[4] 傅建中,付国强,贺永,赖金涛. 一种基于球杆仪测量的机床旋转轴几何误差六圈辨识方法,发明专利,申请号:201410542329.0(已授权)

[3] 傅建中,付国强,贺永,林志伟. 一种基于工件模型重建的三轴数控机床几何误差补偿方法,发明专利,申请号:201410255585.1(已授权)

[2] 傅建中,付国强,贺永,林志伟,赖金涛. 一种五轴数控机床通用的旋转轴几何误差辨识方法,发明专利,申请号:201410096074.X(已授权)

[1] 傅建中,付国强,贺永,林志伟. 3D打印中的自适应分层方法,发明专利,申请号:201410016504.2(已授权)


科研项目

[12] 国家自然科学基金面上项目五轴机床运动轴热误差完整测量辨识及工作空间综合热误差建模方法(No.521754862022.01-2025.12,主持;

[11] 中国博士后科学基金面上资助项目五轴精密加工的运动轴几何误差快速测量完整辨识方法及闭环模式误差补偿技术研究(No.2020M673211)”,2020/07-2022/01,主持;

[10] 四川省科技计划项目面向复杂曲面加工的精密机床多误差源快速测量完整辨识方法及闭环模式误差补偿技术研究(No. 2019YJ0249)”, 2019/01-2020/12,主持;

[9] 国家自然科学基金青年科学基金项目“基于复杂曲面铣削纹理变化改善的五轴机床几何误差补偿方法研究(No.51805457)”,2019.01-2021.12,主持;

[8] 军工项目“天平信号分析与XXX研制”,2016.12-2017.07,主持;

[7] 流体动力与机电系统国家重点实验室开放基金课题“考虑曲面纹理形貌的五轴数控机床几何误差补偿关键技术研究”,2017.12-2019.12,主持;

[6] 浙江省先进制造技术重点实验室开放基金项目“基于精度逆向反馈机制的五轴数控机床几何误差方法研究”,2017.07-2019.07,主持;

[5] 浙江省重点研发计划项目“精密加工检测一体化技术研究及应用-面向半导体的硬脆材料精密曲面加工装备及其精度提升关键技术研发与产业化(No.2018C01071)”,2017.06-2019.12,单位负责人(排名前三);

[4] 国家自然科学基金面上项目“考虑数控机床性能退化条件的立铣刀服役寿命在线预测关键技术研究(No. 51775452)”,2018.01-2021.12,主研;

[3] 国家自然科学基金面上项目“T样条复杂组合曲面计算机辅助制造及加工误差自适应检测方法研究(No.51575483)”,2016.01-2019.12,主研;

[2] 国家自然科学基金面上项目“在机位姿逆向驱动刀路纹理的五轴曲面插补机制研究(No.51475421)” ,2015.01-2018.12,主研;

[1] “高档数控机床与基础制造装备”国家科技重大专项“高档数控机床数字化设计方法、工具集及应用(二期)(No.2015ZX0401402)”子课题,2015.01-2017.12,主研;


研究领域

复杂高端装备精度提升理论与技术;

复杂高端装备热、力、几何等多误差源误差测量装置及方法;

复杂曲面加工CAM/CAD/CNC

智能电力机器人;

3D打印装备与工艺;

精密仪器与先进制造;

数控技术与数字化装备;


著作成果

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