Abstract
Industrial applications need regular testing for the lifetime, movement, strength, and performance of manufacturing machines during production process. Since speckle photography is a simple economic technique, it is used in investigating object response under mechanical and thermal effects depending on the movement of the speckle patterns with respect to the deformation strength and direction. In the present work, the cross-correlation technique is used to analyze the speckle patterns by iterative method to define both values and directions of rigid body translation and expansion. In order to check the accuracy of the cross-correlation technique, the results are compared with the displacement values given by analyzing the Young's interference fringes resulted from the Fourier transformation of the speckle patterns. This noncontact technique is found to be accurate and informative depending on the stability and sensitivity of the optical system. This method of measurement is an effective tool in studying the hard cases of objects and machines under various effects.
Highlights
The necessity to ensure the efficiency of machines and tools used in industrial applications requires regular testing of their ability to work under various effects such as vibration and temperature
Electronic speckle photography is a simple nondestructive technique used in investing object variation under different effects
First sequence of images is taken for the object in the absence of any influence factors to check the stability of the optical system with respect to thermal effects and vibration
Summary
The necessity to ensure the efficiency of machines and tools used in industrial applications requires regular testing of their ability to work under various effects such as vibration and temperature. Electronic speckle photography is a simple nondestructive technique used in investing object variation under different effects The investigation using this technique is performed by analyzing several recorded images for the object surface before and after deformation. Previous work discussed methods for characterizing object displacement and surface roughness by analyzing Young’s interference fringes resulted by the Fourier transformation of the combined speckle images before and after deformation [1, 2]. This method is reliable in indicating value of displacement but not field of displacement. The iterative method in the processing makes it possible to track surface deformation in a specific time
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
