Our site saves small pieces of text information (cookies) on your device in order to deliver better content and for statistical purposes. You can disable the usage of cookies by changing the settings of your browser. By browsing our site without changing the browser settings you grant us permission to store that information on your device.
DAVID ASAEL GUTIÉRREZ HERNÁNDEZ1,* , CARLOS PÉREZ LÓPEZ1, FERNANDO MENDOZA SANTOYO1, ALEJANDRO TÉLLEZ-QUIÑONES1, DANIEL D. AGUAYO2
In this paper, we present a high speed electronic speckle pattern interferometer (HSESPI) for the experimental analysis of a semisolid and rectangular membrane fully supported on its 4 edges. This system is based on an out of plane interferometer setup that integrates a continuous wave and a fast camera with an acquisition rate of 5000 frames/s. The acquired data is a set of temporal and full-field spatial samples of the surface deformation that have an optical phase change due to free vibrations coming from an external and random vibration frequency. Several fringe patterns of interference are contended all over the 5000 recorded frames. Each fringe pattern is processed by a phase extraction of a single fringe pattern algorithm. With this information, it is possible to do a spatiotemporal characterization of the membrane. The results shown graphics of a couple of points of the membrane followed along the time and the spatial evolution of a couple of profiles inside the membrane..
High Speed ESPI, Membranes, Transient vibrations.
DAVID ASAEL GUTIÉRREZ HERNÁNDEZ, CARLOS PÉREZ LÓPEZ, FERNANDO MENDOZA SANTOYO, ALEJANDRO TÉLLEZ-QUIÑONES, DANIEL D. AGUAYO, Optical characterization of a semisolid membrane by high speed interferometry, Optoelectronics and Advanced Materials - Rapid Communications, 8, 5-6, May-June 2014, pp.382-386 (2014).
Submitted at: April 22, 2014
Accepted at: May 15, 2014
Optoelectronics and Advanced Materials - Rapid Communications
(2022): 0.5 - 2022 Journal Citation Reports (Clarivate Analytics, 2023)
Active accounts were imported to the new platform and assigned a random password by default. In order to access your account you need to access the login page and go through the Lost Password dialog (involves the system sending you an email with instructions) in order to reset your password. This step is necessary as passwords are kept in hashed form and the new platform uses modern hashing algorithms incompatible with the previous ones.