Wang Zixuan, Li Zhenshuai, Zhao Yang, Zhao Ji, Du Jiahui, Yu Tianbiao, Zhao Jun
School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China.
Liaoning Provincial Key Laboratory of High-End Equipment Intelligent Design and Manufacturing Technology, Shenyang 110819, China.
Materials (Basel). 2024 Dec 6;17(23):5985. doi: 10.3390/ma17235985.
The abrasives of traditional grinding wheels are usually randomly arranged on the substrate, reducing the number of effective abrasive grains involved in the machining during the grinding process. However, there are some problems such as uneven distribution of chip storage space, high grinding temperature, and easy surface burn. In trying to address this issue, an ultrasonic vibration 3D printing method is introduced to fabricate the structured CBN (Cubic Boron Nitride) grinding wheel. The effects of the fabricated process parameters, overlap rate, scanning path, and ultrasonic amplitude were analyzed. The effects of laser power, scanning speed, and powder disk rotation speed on the topography of the printing layer were analyzed by orthogonal tests. The obtained data were input into the GA-BP (Genetic Algorithm-Back Propagation) neural network for training, and the trained model was utilized to derive the optimal process parameters. Then, the experiments were carried out to optimize the overlap rate and the scanning path. The effect of ultrasonic vibration amplitude on the surface topography and the microhardness of the printing layer was observed and investigated. The structured CBN grinding wheels were fabricated using the optimal parameters, and the performance of the grinding wheels was evaluated. The workpiece surface roughness ground by the grinding wheel fabricated with ultrasonic vibration was smaller than that without ultrasonic vibration, and a better workpiece surface quality was obtained.
传统砂轮的磨料通常随机分布在基体上，这减少了磨削过程中参与加工的有效磨粒数量。然而，存在一些问题，如排屑空间分布不均、磨削温度高以及易产生表面烧伤。为了解决这个问题，引入了一种超声振动3D打印方法来制造结构化立方氮化硼（CBN）砂轮。分析了制造工艺参数、重叠率、扫描路径和超声振幅的影响。通过正交试验分析了激光功率、扫描速度和粉末盘转速对打印层形貌的影响。将获得的数据输入遗传算法-反向传播（GA-BP）神经网络进行训练，并利用训练后的模型得出最优工艺参数。然后，进行实验以优化重叠率和扫描路径。观察并研究了超声振动振幅对打印层表面形貌和显微硬度的影响。采用最优参数制造了结构化CBN砂轮，并对砂轮性能进行了评估。用超声振动制造的砂轮磨削的工件表面粗糙度小于无超声振动时的情况，获得了更好的工件表面质量。
