An adaptive tracking measurement method for inner surface of laser fusion targets

Xianxian Ma, Zihao Liu, Jie Luo, Yijun Liu, Weiqian Zhao, Qi Wang, Lirong Qiu, Yun Wang

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

We propose an adaptive tracking measurement method for accurate, rapid, and non-invasive measurement of the topography of the inner surface of fusion targets. During the first phase of the measurement, we measure the low-frequency components of the inner surface of the target using a laser differential confocal axial point-by-point scanning measurement method with a large dynamic range. During to the second phase of the measurement, based on the low-frequency components data, the objective lens is driven by a scanner for adaptive large-interval movement, simultaneously, we measure the high-frequency components in the large-interval using a laser differential confocal linear sensing measurement method. Combined with the mutually perpendicular slewing shafts system, the three-dimensional topography of the inner surface of the target can be measured.

Original languageEnglish
Article number108938
JournalOptics and Laser Technology
Volume159
DOIs
Publication statusPublished - Apr 2023

Keywords

  • Adaptive tracking
  • Fusion target
  • Laser differential confocal
  • Linear sensing
  • Three-dimensional topography

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