Research on the Technology of a Compact Double-Layer Multispectral Filter-Wheel Mechanism Driven by a Single Motor

Spatial multispectral imaging technology can selectively image in specific spectral bands, and the filter wheel is a core component for multispectral selection. At present, there are relatively few types of spectral bands for the filter wheel under limited space/weight constraints. Addressing the challenges presented by this issue, this paper introduces an innovative design approach for the development of a double-layer or even multi-layer filter wheel that is operated by a solitary motor in conjunction with a differential gear mechanism, enabling a vast array of spectral segment combinations within a highly compact layout. A detailed design is implemented for the double-layer filter wheel, including comprehensive modal and dynamic analyses. The results of the modal analysis attested to the structural stability of the component, and the outcomes of the dynamic analysis validated the component’s timely and reliable switching capabilities. A prototype was meticulously crafted and subjected to rigorous testing. The switching functionality was validated during these tests, concurrently affirming the accuracy of the finite element analysis results. Additionally, spectral and application testing confirmed the number of spectral segments and the practical utility of the components. The research presented in this article introduces an innovative design concept for multispectral imaging filter-wheel mechanisms, providing a valuable reference and profound insights for the design and arrangement of a double-layer or even multi-layer filter wheel.

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Publication Details

Journal
Applied Sciences
Published
2024-11-19
DOI
https://doi.org/10.3390/app142210686
Citations
1
Primary Topic
Advanced Measurement and Detection Methods
Type
article
Field-Weighted Citation Impact
0.21
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article

Research on the Technology of a Compact Double-Layer Multispectral Filter-Wheel Mechanism Driven by a Single Motor

Shuanglong Tan, Nan Zhou, Jinlong Jia, Wenjie Wang et al.
1 citations
Applied Sciences
Advanced Measurement and Detection Methods
0.21
article

Research on the Technology of a Compact Double-Layer Multispectral Filter-Wheel Mechanism Driven by a Single Motor

Shuanglong Tan, Nan Zhou, Jinlong Jia, Wenjie Wang, Hongbo Wu, Liang Wang, Shuaiwei Mu, Ma Lin, Xin Zhang
article en
1 citations

Abstract

Spatial multispectral imaging technology can selectively image in specific spectral bands, and the filter wheel is a core component for multispectral selection. At present, there are relatively few types of spectral bands for the filter wheel under limited space/weight constraints. Addressing the challenges presented by this issue, this paper introduces an innovative design approach for the development of a double-layer or even multi-layer filter wheel that is operated by a solitary motor in conjunction with a differential gear mechanism, enabling a vast array of spectral segment combinations within a highly compact layout. A detailed design is implemented for the double-layer filter wheel, including comprehensive modal and dynamic analyses. The results of the modal analysis attested to the structural stability of the component, and the outcomes of the dynamic analysis validated the component’s timely and reliable switching capabilities. A prototype was meticulously crafted and subjected to rigorous testing. The switching functionality was validated during these tests, concurrently affirming the accuracy of the finite element analysis results. Additionally, spectral and application testing confirmed the number of spectral segments and the practical utility of the components. The research presented in this article introduces an innovative design concept for multispectral imaging filter-wheel mechanisms, providing a valuable reference and profound insights for the design and arrangement of a double-layer or even multi-layer filter wheel.

Applied SciencesVol. 14(22)
Jilin University (CN), Chinese Academy of Sciences (CN), Beijing Electronic Science and Technology Institute (CN), Changchun Institute of Optics, Fine Mechanics and Physics (CN)
Openalex Percentile: Top 46%
Advanced Measurement and Detection Methods
0.21
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