Skip to main navigation Skip to search Skip to main content

An Off-Axis Measuring Method of Structural Parameters for Lenslet Array

  • Harbin University of Science and Technology
  • Ministry of Education of the People's Republic of China
  • School of Astronautics, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Aiming at the problem that the vertex detection method is difficult to deal with the high-efficiency detection of the large-scale spherical lenslet array, a contact off-axis measuring method is proposed and the measurement accuracy and detection efficiency are verified by experiments. Firstly, by analyzing the 3D model of the relationship between a spherical lens and probe of profilometer, the mathematical model of probe trajectory arc is established based on the off-axis trajectory characteristics of the spherical lenslet array. Then, the error mechanism under the off-axis condition is analyzed, and a mathematical algorithm is proposed to restore the structural parameters at the main optical axis of the lens by using the process design value of the unit lens aperture. Finally, a comparative experiment is carried out between the off-axis detection method and vertex detection method. The experimental results demonstrate that: Compared with the coaxial detection method, the relative errors of the measured lens curvature radius R0 and the lens vector height f0 under the off-axis detection method are 1.71% and 1.95%, respectively. Under the sampling measurement scale, the detection efficiency of the off-axis detection method is 41 times higher than that of vertex detection method.

Original languageEnglish
Article number1716
JournalElectronics (Switzerland)
Volume11
Issue number11
DOIs
StatePublished - 1 Jun 2022
Externally publishedYes

Keywords

  • compound
  • contact measurement
  • efficiency
  • error analysis
  • eye lenslet array
  • off-axis trajectory

Fingerprint

Dive into the research topics of 'An Off-Axis Measuring Method of Structural Parameters for Lenslet Array'. Together they form a unique fingerprint.

Cite this