The influence of ambient illumination on colour adaptation in three fringe photoelasticity

Simon, B. Neethi; Kasimayan, T.; Ramesh, K.

doi:10.1016/j.optlaseng.2010.09.018

Cited by 16 publications

(5 citation statements)

References 12 publications

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“…En la calibración se crea una base de datos o tabla de búsqueda. La manera más común de generar la tabla de búsqueda [19,20,21], es obtener los valores de los canales 𝑅, 𝐺, 𝐵 a lo largo de una línea en la sección transversal (ver Figura 2) de la imagen digital de una probeta plana, de material birrefringente, sometida a flexión pura [17,14]. Esto debido a que el esfuerzo varía de forma lineal a lo largo de la sección mencionada [22].…”

Section: Fotoelasticidad Rgbunclassified

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Software de fotoelasticidad RGB en placas de materiales birrefringentes al esfuerzo

2021

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La fotoelasticidad digital utiliza el fenómeno de la birrefringencia para el análisis y descripción de la distribución de esfuerzos a través de imágenes digitales y del procesamiento digital de las mismas. En este trabajo se presenta el desarrollo y diseño de un código, abierto y gratuito, en MATLAB que adopta la metodología de la fotoelasticidad RGB para determinar la distribución de la diferencia de esfuerzos principales en una probeta plana de un material fotoelástico, sometida a cargas mecánicas en un estado de esfuerzos planos. Esto mediante el procesamiento de una imagen digital a color de un espécimen de material birrefringente al esfuerzo, colocado dentro de un polariscopio circular en su configuración de campo oscuro. Se presenta la generación de imágenes artificiales representativas del fenómeno con el fin de tener datos de entrada para el desarrollo del algoritmo y una forma de validarlo. Se muestran también los pasos necesarios para la metodología de la fotoelasticidad RGB que incluyen la preparación de una base de datos o tabla de búsqueda y el análisis de la imagen fotoelástica. Se compara, además, el resultado del cálculo de la diferencia de esfuerzos principales con resultados de elemento finito, en lo cual se obtuvo un buen grado de confiabilidad en las imágenes utilizadas.

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Section: Fotoelasticidad Rgbunclassified

“…Al elaborar la tabla de búsqueda, lo ideal es que las intensidades de los colores resultantes sean lo más parecidas a las de la imagen a analizar para realizar una mejor correlación. Sin embargo, debido a ciertas variaciones que pudieran resultar [25] es recomendable hacer una adaptación de color [14].…”

Section: Adaptación De La Tabla De Búsquedaunclassified

Software de fotoelasticidad RGB en placas de materiales birrefringentes al esfuerzo

2021

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“…For this purpose some prismatic specimens, having dimensions of 11  30  150 mm, were tested in addition to the gear prototypes. When RGB photoelasticity is applied, the same specimen material, lighting conditions as well as heat treatment (stress-freezing, annealing) should be used for both the calibration and application samples in order to avoid a color adaptation procedure which suitable modifies the LUT [12][13][14]. For this reason, the specimens used to determine the calibration parameters (i.e., LUT for the RGB method, and the stress-optic coefficient) were obtained from the same container of the test gear models.…”

Section: Stereolithographic Modelsmentioning

confidence: 99%

A CAE approach for the stress analysis of gear models by 3D digital photoelasticity

Forte

Paoli

Razionale

2013

Int J Interact Des Manuf

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The use of numerical and experimental methods to determine the stress field of mechanical components is well known. In particular, 3D photoelasticity can be considered the only experimental technique for the complete stress state evaluation of 3D components. The advent of rapid prototyping techniques has allowed the manufacturing of complex models in a matter of hours by using birifrangent materials. The present paper is focused on the description of a Computer Aided Engineering (CAE) approach which combines Finite Element (FE) simulations and automatic photoelastic investigations for the stress analysis of face gear drives, made by stereolithography. Computer Aided Design (CAD) geometries, used to manufacture the stereolithographic models, are directly used to perform FE analyses, thus allowing the stress analysis process to become simpler and easier. The substantial agreement observed between experimental and numerical results proved the potentialities of the adopted approach and the usefulness of FE simulations to optimize photoelastic analyses through cost- and time-effective experiments even for complex 3D shapes

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“…Numerical methods, such as the finite element method, are widely used in the analysis of stresses, especially in complex structures for which there are no exact/analytical solutions [1,2,3,4,5]. However, numerical models need to be validated, for which there are two options: comparison with the exact/analytical solution (when available) and/or comparison with experimental tests [6,7,8,9].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Stresses in a Tapered Roller Bearing Using Three-Dimensional Photoelasticity and Stereolithography

et al. 2019

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Digital photoelasticity is an important segment of optical metrology for stress analysis by digital photographic images. Advances in digital image processing, data acquisition, standard recognition and data storage allow the utilization of computer-aided techniques in the automation and improvement of the digital photoelastic technique. The objective of this study is to develop new techniques using 3D rapid prototyping with transparent resins in digital photoelasticity. Some innovations are proposed (e.g., a tapered roller bearing built with 3D rapid prototyping with transparent resin and the final assembly with the specimens prototyped separately). A metrology study is carried out with the new techniques developed.

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The influence of ambient illumination on colour adaptation in three fringe photoelasticity

Cited by 16 publications

References 12 publications

Software de fotoelasticidad RGB en placas de materiales birrefringentes al esfuerzo

Software de fotoelasticidad RGB en placas de materiales birrefringentes al esfuerzo

A CAE approach for the stress analysis of gear models by 3D digital photoelasticity

Analysis of Stresses in a Tapered Roller Bearing Using Three-Dimensional Photoelasticity and Stereolithography

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