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Optical Imaging And Spectroscopy

Misalignment effects on the load capacity of a hydraulic cylinder

Compressive spectral imaging enables the reconstruction of an entire 3D spectral cube from a few multiplexed images. Here we develop a novel compressive spectral imaging technique using diffractive lenses. Our technique uses a coded aperture to spatially modulate the optical field from the scene and a diffractive lens such as a photon sieve for both dispersion and focusing. Measurement diversity is achieved by changing the focusing behavior of the diffractive lens. The 3D spectral cube is then reconstructed from highly compressed measurements taken with a monochrome detector. A fast sparse recovery method is developed to solve this large-scale inverse problem. The performance is illustrated for various scenarios with different compression ratios through simulations. The results demonstrate that promising reconstruction performance can be achieved at high compression levels. This opens up new possibilities for high-resolution spectral imaging with simpler and low cost designs.

Compressive spectral imaging with diffractive lenses

Friction effects on the load capacity of a column and a hydraulic cylinder

Cushioning structure optimization of excavator arm cylinder

Se presenta este articulo con el objetivo de permitir una facil interpretacion de las formulaciones planteadas en la NORMA ISO/TS 13725 para el calculo de la carga admisible de pandeo, con el fin de ser aplicada de una manera rapida y sencilla en el campo del diseno, fabricacion, seleccion y verificacion de cilindros oleohidraulicos. Se plantea un ejemplo de aplicacion con un cilindro en particular, tratando de correlacionar los valores ofrecidos por la ecuacion de Euler (actualmente aplicada) y los obtenidos con la Norma. Esto, con el fin de identificar los efectos que puedan tener algunos parametros que la Norma tiene en cuenta, sobre las cargas admisibles del cilindro.

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CAPACIDAD DE CARGA DE CILINDROS OLEOHIDRÁULICOS: Norma ISO/TS 13725 "HYDRAULIC FLUID POWER -CYLINDERS- METHOD FOR DETERMINING THE BUCKLING LOAD"

The recently introduced Spatial Spectral Compressive Spectral Imager (SSCSI) has been proposed as an alternative to carry out spatial and spectral coding using a binary ON–OFF coded aperture. In SSCSI, the pixel pitch size of the coded aperture, as well as its location with respect to the detector array, plays a critical role in the quality of image reconstruction. In this paper, a rigorous discretization model for this architecture is developed, based on a light propagation analysis across the imager. The attainable spatial and spectral resolution, and the various parameters affecting them, is derived through this process. Much like the displacement of zoom lens components leads to higher spatial resolution of a scene, a shift of the coded aperture in the SSCSI in reference to the detector leads to higher spectral resolution. This allows the recovery of spectrally detailed datacubes by physically displacing the mask toward the spectral plane. To prove the underlying concepts, computer simulations and experimental data are presented in this paper.

Spectral Zooming and Resolution Limits of Spatial Spectral Compressive Spectral Imagers

The spatial spectral compressive spectral imager (SSCSI) is a recently proposed optical architecture, where the spatial-spectral coding of a scene is jointly realized by a binary ON-OFF mask and a dispersive element. The quality of the recovered hyperspectral scene in SSCSI depends on various parameters, such as the coded aperture location with respect to the sensor, the coded aperture and detector pitch sizes, and the diffraction introduced by the grating. Given these parameters, the sensing matrix of the imager is largely dependent on the coded aperture structure and characteristics. As such, its optimization is critical to maximizing the quality of the recovered scene. In this article, an algorithm that optimizes the coded aperture patterns for SSCSI is derived. The final structure of such patterns turns out to be directly linked to the coded aperture position measured from the sensor. It is also shown that the optimal coded apertures in SSCSI adhere to green-blue noise spectral characteristics, where the degree of green spectral components depends on the location of the coded aperture with respect to the sensor. Simulations under different conditions are presented to demonstrate the underlying concepts.

Edgar Salazar

Papers

Misalignment effects on the load capacity of a hydraulic cylinder

Friction effects on the load capacity of a column and a hydraulic cylinder

CAPACIDAD DE CARGA DE CILINDROS OLEOHIDRÁULICOS: Norma ISO/TS 13725 "HYDRAULIC FLUID POWER -CYLINDERS- METHOD FOR DETERMINING THE BUCKLING LOAD"

Spectral Zooming and Resolution Limits of Spatial Spectral Compressive Spectral Imagers

Coded Aperture Optimization in Spatial Spectral Compressive Spectral Imagers