第一作者或通讯论文

[35] Fu Guoqiang*, Zhu Sipei, Zheng Yue, Lu Caijiang, Wang Xi, Wang Tao, Fu Jianzhong. Free-form surface texture morphology evaluation for tool posture range constraint-based texture quality control in five-axis ball-end milling [J]. Journal of Manufacturing Processes, 2025, 149: 1046-1065.

[34] Mu Sen, Fu Guoqiang*, Zheng Yue, Wang Xi, Lu Caijiang, Fu Jianzhong. Convolutional neural network-attention-gate recurrent unit-attention hybrid framework for spindle thermal error modeling with joint feature analysis under complex variable speed conditions [J]. Engineering Applications of Artificial Intelligence, 2025, 156(111033).

[33] Zhu Sipei, Fu Guoqiang*, Zheng Yue, Lu Caijiang, Wang Xi, Wang Tao, Fu Jianzhong. Free-form surface texture morphology modeling in five-axis ball-end milling considering effective cutting edge [J]. Thin-Walled Structures, 2025, 113506.

[32] Fu Guoqiang*, Lin Kunlong, Lu Caijiang, Wang Xi, Wang Tao. Spindle thermal error regression prediction modeling based on ConvNeXt and weighted integration using thermal images [J]. Expert Systems with Applications, 2025, 274(127038).

[31] Fu Guoqiang*, Lin Kunlong, Zheng Yue, Zhu Sipei, Lu Caijiang, Wang Xi. PIGEs identification of rotary axes based on PIGEs influences on their owner rotary axes for the five-axis machine tool [J]. IEEE Transactions on Instrumentation and Measurement, 2025, 74: 1-14.

[30] Fu Guoqiang*, Mu Sen, Zheng Yue, Lu Caijiang, Wang Xi, Wang Tao. MA-CNN based spindle thermal error modelling using the depth feature analysis with thermal error mechanism [J]. Measurement, 2024, 226(114183).

[29] Fu Guoqiang*, Zheng Yue, Zhu Sipei, Lu Caijiang, Wang Xi, Wang Tao. Surface texture topography evaluation and classification by considering the tool posture changes in five-axis milling [J]. Journal of Manufacturing Processes, 2023, 101: 1343-1361.

[28] Fu Guoqiang*, Zheng Yue, Lei Guoqiang, Lu Caijiang, Wang Xi, Wang Tao. Spindle thermal error prediction modeling using vision-based thermal measurement with vision transformer [J]. Measurement, 2023, 219(113272). 

[27] Fu Guoqiang*, Zheng Yue, Zhou Linfeng, Lu Caijiang, Zhang Li, Wang Xi, Wang Tao. Look-ahead prediction of spindle thermal errors with on-machine measurement and the cubic exponential smoothing-unscented Kalman filtering-based temperature prediction model of the machine tools [J]. Measurement, 2023, 210(112536).

[26]Fu Guoqiang*, Zheng Yue, Zhu Sipei, Lu Caijiang, Deng Xiaolei, Xie Luofeng, Yang Jixiang. A four parallel laser-based simultaneous measurement method for 6-degrees-of-freedom errors of rigid body with translational motion [J]. Review of Scientific Instruments, 2022, 93(8): 085101.

[25] Fu Guoqiang*, Zhou Linfeng, Zheng Yue, Lu Caijiang, Wang Xi, Xie Luofeng. Improved unscented Kalman filter algorithm-based rapid identification of thermal errors of machine tool spindle for shortening thermal equilibrium time [J]. Measurement, 2022, 195(111121).

[24] 朱思佩, 付国强*, 郑悦, 李正堂, 杨吉祥. 五轴曲面铣削的通用表面纹理形貌建模方法 [J]. 中国机械工程, 2023, 34(16): 1946-1957.

[23] 郑悦，付国强*，雷国强，周琳丰，朱思佩. 变工况下基于迁移学习融合域内对齐的机床主轴热误差模型[J]. 仪器仪表学报, 2023, 44(05): 33-43.

[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.

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[11] 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.52175486）”，2022.01-2025.12，主持；

[10] 四川省科技计划重点研发计划项目“基于本质特征表征和热迟滞效应体现的钛合金加工大型龙门五轴机床工作空间综合热误差建模与补偿技术及应用研究（No. 2022YFG0218）”，2022.01-2023.12，主持；

[9] 通用技术集团高端数控机床重点实验室开放课题“五轴机床几何误差快速完整测量及优化匹配闭环补偿技术（KLHCMT202409）”，2024.10-2026.09，主持；

[8] 大连理工大学高性能精密制造全国重点实验室开放基金项目“五轴铣削自由曲面纹理形貌创成机理及质量评定控制技术（HPMKF202405）”，2024.10-2025.10，主持；

[7] 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；

[6] 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；

[5] 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；

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

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[2] 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；

[1] 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）；

• 工业母机数控机床精度稳定性提升理论与技术；
  

• 复杂机电装备热及几何等多源误差测量、建模及补偿方法；

• 复杂曲面加工CAM/CAD/CNC；

• 精密仪器与先进制造；
  

• 数控技术与数字化装备；

• 智能电力机器人；