Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Optical path optimization of chromatic line confocal displacement sensor for high resolution and wide range

Not Accessible

Your library or personal account may give you access

Abstract

This study introduces the optical path-optimized dual-grating chromatic line confocal imaging (DG-LCI) technique for high-resolution and wide-range surface topography measurements. Chromatic line confocal imaging (LCI) finds extensive applications in high-speed 3D imaging of surface morphology, roughness analysis in industrial production, and quality inspection. A key advantage of LCI is its ability to achieve a large depth of focus, enabling the imaging system to measure a wide range in the Z direction. However, the challenge lies in the trade-off between the measurement range and resolution. Increasing the measurement range reduces the resolution, making it unsuitable for precise measurements required in industrial processing. Conversely, enhancing the resolution limits the measurement range, thereby sacrificing the advantage of LCI systems’ broad measurement capabilities. Addressing this limitation, we propose a dual optical path dual-grating structure using a simplified and ingenious optical path optimization design. This design overcomes the challenge of sacrificing the millimeter-level measurement range while simultaneously improving the resolution. Rigorous simulations and experiments validate the effectiveness and validity of our proposed method.

© 2024 Optica Publishing Group

Full Article  |  PDF Article
More Like This
Virtual double-slit differential dark-field chromatic line confocal imaging technology

Shuai Wang and Xiaojun Liu
Opt. Lett. 48(4) 904-907 (2023)

Programmable high-speed confocal reflectance microscopy enabled by a digital micromirror device

Danielis Rutkauskas and Egidijus Auksorius
Opt. Lett. 49(3) 686-689 (2024)

Resolution-increased fiber-optic strain sensor with a large dynamic range driven by white light

Biying Zhou, Wenrui Wang, Xueqian Bai, Jun Hu, Bin Chen, Lingyun Ye, and Kaichen Song
Opt. Lett. 49(4) 1057-1060 (2024)

Data availability

Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (6)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (6)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.