Kang Guoyi, Zheng Gaofeng, Chen Yanping, Jiang Jiaxin, Chen Huatan, Wang Xiang, Li Wenwang, Huang Yuqing, Zheng Jianyi
Department of Instrumental and Electrical Engineering, Xiamen University, Xiamen 361102, China.
Shenzhen Research Institute of Xiamen University, Shenzhen 518000, China.
Micromachines (Basel). 2020 Jan 23;11(2):128. doi: 10.3390/mi11020128.
The online recognition of jet mode is important for the accurate control and further application of electrohydrodynamic direct-writing (EDW) technology. An EDW system with a current detection module is built for jet mode recognition. The current of the EDW jet is measured to recognize the jet mode when printing patterned structures. Then, a data processing program with a digital Kaiser low-pass filter is developed in MATLAB, via which the noise of the current signal is reduced. The features of EDW current, including the current fluctuation and the peak current intervals, are studied to recognize different jet modes. The current characteristics of three jet modes are investigated: droplet ejection mode, Taylor cone ejection mode, and retractive ejection mode. The Taylor cone ejection mode has the smallest coefficient of variation of peak current. This work provides a good way of designing the optimized control algorithm and of realizing the closed-loop control system, which contributes to enhancing the jet stability and accelerating the application of EDW technology.
射流模式的在线识别对于电流体动力学直接写入(EDW)技术的精确控制和进一步应用至关重要。构建了一个带有电流检测模块的EDW系统用于射流模式识别。在打印图案化结构时测量EDW射流的电流以识别射流模式。然后,在MATLAB中开发了一个带有数字凯泽低通滤波器的数据处理程序,通过该程序降低电流信号的噪声。研究了EDW电流的特征,包括电流波动和峰值电流间隔,以识别不同的射流模式。研究了三种射流模式的电流特性:液滴喷射模式、泰勒锥喷射模式和回缩喷射模式。泰勒锥喷射模式的峰值电流变异系数最小。这项工作为设计优化控制算法和实现闭环控制系统提供了一种很好的方法,有助于提高射流稳定性并加速EDW技术的应用。