Large-scale and high-depth three dimensional scanning measurement system and algorithm optimization

被引:0
|
作者
Zhang, Fan [1 ,2 ]
Li, ZhenYang [1 ,2 ]
Zhang, Liansheng [1 ,2 ]
Cheng, Rongjun [1 ,2 ]
Huang, Qiangxian [1 ,2 ]
Li, Ruijun [1 ,2 ]
Wang, Chaoqun [1 ,2 ]
机构
[1] Hefei Univ Technol, Sch Instrument Sci & Opto Elect Engn, Hefei 230009, Peoples R China
[2] Hefei Univ Technol, Sch Instrument Sci & Opto Elect Engn, Anhui Prov Key Lab Measuring Theory & Precis Instr, Hefei 230009, Anhui, Peoples R China
来源
REVIEW OF SCIENTIFIC INSTRUMENTS | 2022年 / 93卷 / 05期
基金
中国国家自然科学基金;
关键词
SURFACE PROFILOMETER; PROBE; MICROSCOPE; RESOLUTION;
D O I
10.1063/5.0085229
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
Tapping scanning mode is an important method for measuring surface topography at the nanometer scale. It is widely used because it can eliminate lateral force and reduce damage to the tested sample. Research on three dimensional (3D) scanning technology with a large range and high depth-to-width ratio has important practical significance and engineering application value because the current scanning probe microscope has the limitations of small measurement ranges and weak Z-direction measurement ability. The high-frequency resonance of the quartz tuning fork, combined with the tungsten stylus, is used in this paper. It has the ability to measure the surface profile of the microdevice with a large aspect ratio. The proposed 3D scanning measurement system has realized a microstructure measurement with a depth of similar to 58 mu m. The entire measuring range is 400 x 400 x 400 mu m(3), and the vertical resolution reaches 0.28 nm. The system can accurately obtain the 3D surface topography of the microfluidic biochip. In addition, a sliding window algorithm (SWA) based on errors in the scanning process and low scanning efficiency is proposed. Compared with the point-by-line scanning algorithm, the proposed SWA reduces the mean value of the squared residuals of the 3D profile by 7.70%, thereby verifying the feasibility of the algorithm. The 3D scanning measurement system and the algorithm in the tap mode provide an important reference for the 3D topography measurement of microstructures with large aspect ratios. Published under an exclusive license by AIP Publishing
引用
收藏
页数:8
相关论文
共 50 条
  • [41] Handling infeasibility in a large-scale nonlinear optimization algorithm
    Martinez, Jose Mario
    Prudente, Leandro da Fonseca
    NUMERICAL ALGORITHMS, 2012, 60 (02) : 263 - 277
  • [42] Novel Heuristic Algorithm for Large-scale Complex Optimization
    Qiu, Honghao
    Liu, Yehong
    INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE 2016 (ICCS 2016), 2016, 80 : 744 - 751
  • [43] SNOPT: An SQP algorithm for large-scale constrained optimization
    Gill, PE
    Murray, W
    Saunders, MA
    SIAM JOURNAL ON OPTIMIZATION, 2002, 12 (04) : 979 - 1006
  • [44] The Optimization Algorithm for Large-Scale In Situ Stress Field
    Li, Fei
    Chang, Ningdong
    ADVANCES IN CIVIL ENGINEERING, 2021, 2021
  • [45] Optimization of Large-Scale Hydrothermal System Operation
    Zambon, Renato C.
    Barros, Mario T. L.
    Lopes, Joao Eduardo G.
    Barbosa, Paulo S. F.
    Francato, Alberto L.
    Yeh, William W. -G.
    JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2012, 138 (02) : 135 - 143
  • [46] Optimization of large-scale hydropower system operations
    Barros, MTL
    Tsai, FTC
    Yang, SL
    Lopes, JEG
    Yeh, WWG
    JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2003, 129 (03) : 178 - 188
  • [47] Tissue preparation for reconstruction of large-scale three-dimensional structures using a scanning electron microscope
    Hukui, I
    JOURNAL OF MICROSCOPY, 1996, 182 : 95 - 101
  • [49] Three-Dimensional Measurement of Large-Scale Objects Using Photogrammetry Based on Total Station
    Yang Xieliu
    Yin Chenyu
    Fang Suping
    Liu Shiming
    LASER & OPTOELECTRONICS PROGRESS, 2020, 57 (10)
  • [50] A modified whale optimization algorithm for large-scale global optimization problems
    Sun, Yongjun
    Wang, Xilu
    Chen, Yahuan
    Liu, Zujun
    EXPERT SYSTEMS WITH APPLICATIONS, 2018, 114 : 563 - 577