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围绕蓝宝石、碳化硅、陶瓷、玻璃等脆性材料， 以“高精、高效、绿色、智能”为目标，从原理、工具、工艺、装备、检测、控制等层面开展基础应用研究和关键技术突破，研究包括：
• 智能制造与精密加工技术 针对智能制造与精密加工过程，研究新原理、新方法、新设计和新工艺，实现更小尺度和更高精度的高效智能加工技术；
• 过程建模与模拟仿真技术 针对智能制造与精密加工过程，采用理论解析和有限元/离散元/分子动力学等方法手段，揭示智能制造加工过程与机理；
• 高端工具设计与制备技术 针对智能制造与精密加工对象特点，研究和开发高性能加工工具，评价工具的加工性能和失效行为；
• 智能图像处理与应用技术 针对智能制造与精密加工过程状态及产品，研究人工智能视觉处理技术和多模态融合技术，实现过程检测控制与产品检测评价。
- Xi Liao , Congfu Fang* , and Zhengyi Peng , Study on Double Fermat-Structured Magnesium Oxychloride Fixed-Abrasive Pad in Sapphire Grinding International Journal of Precision Engineering and Manufacturing-Green Technology 2025,
- Shaoxiong Xie , Congfu Fang* , and Yanfen Lin , Research on the influence of abrasive particle size and lapping parameters on the surface scratches of stainless steel substrates Surface Topography: Metrology and Properties 2025, 13, 015025.
- 索文隆 , 林燕芬 , and 方从富* , 基于改进 Mask R-CNN 的金刚石磨盘表面形态分割与评价 金刚石与磨料磨具工程 2025, 45(4), 1-10.
- Yanfen Lin , Tinghao Fan , and Congfu Fang* , A Classification and Segmentation Model for Diamond Abrasive Grains Based on Improved Swin-Unet-SAM Electronics 2024, 13，4213,
- Zhongyu Bao , Congfu Fang* , Zhen Yan , and Zhongwei Hu , Research on composite pattern design and lapping performance of fixed abrasive pads controlled by multi-physical fields Precision Engineering 2024, 91, 14–26.
- Hangtao Bian and Congfu Fang* , Improved random forest for titanium alloy milling force prediction based on finite element-driven Journal of the Brazilian Society of Mechanical Sciences and Engineering 2024, 46, 688.