首页 | 本学科首页   官方微博 | 高级检索  
     


Multi-objective optimal design of high frequency probe for scanning ion conductance microscopy
Authors:Renfei Guo  Jian Zhuang  Li Ma  Fei Li  Dehong Yu
Affiliation:1. School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China;2. School of Science, Xi'an Jiaotong University, Xi'an 710049, China ;Bioinspired Engineering and Biomechanics Center(BEBC), Xi'an Jiaotong University, Xi'an 710049, China
Abstract:Scanning ion conductance microscopy(SICM) is an emerging non-destructive surface topography characterization apparatus with nanoscale resolution. However, the low regulating frequency of probe in most existing modulated current based SICM systems increases the system noise, and has difficulty in imaging sample surface with steep height changes. In order to enable SICM to have the capability of imaging surfaces with steep height changes, a novel probe that can be used in the modulated current based hopping mode is designed. The design relies on two piezoelectric ceramics with different travels to separate position adjustment and probe frequency regulation in the Z direction. To further improve the resonant frequency of the probe, the material and the key dimensions for each component of the probe are optimized based on the multi-objective optimization method and the finite element analysis. The optimal design has a resonant frequency of above 10 kHz. To validate the rationality of the designed probe, microstructured grating samples are imaged using the homebuilt modulated current based SICM system. The experimental results indicate that the designed high frequency probe can effectively reduce the spike noise by 26% in the average number of spike noise. The proposed design provides a feasible solution for improving the imaging quality of the existing SICM systems which normally use ordinary probes with relatively low regulating frequency.
Keywords:scanning ion conductance microscopy(SICM)  multi-objective optimization  high frequency probe  finite element analysis  imaging quality
本文献已被 CNKI 万方数据 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号