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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• 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；