Digital Image Correlation On Piping Condition Monitoring Using Smartphone

Bahari, Muhammad Najib (2018) Digital Image Correlation On Piping Condition Monitoring Using Smartphone. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 Pages) Digital Image Correlation On Piping Condition Monitoring Using Smartphone.pdf - Submitted Version Download (256kB)

Abstract

This research examines the condition of piping by using Digital Image Correlation (DIC) which utilizing opensource Ncorr software which built on Matlab platform. DIC is a new innovative technique that has develop widely around the world. DIC is a non-contact optical method which captures of digital images of a surface that use to measure full-field deformation of an object. The captured images are then been analyzed by comparing reference image (before deformation) with the series of images after the deformation occurs. This research utilizes smartphone camera which is Honor 8 used to capture the image before and after deformation on the pipe with different speed of the pump and different flow rate in the pipe. In the experiment there are two type material of pipe is used to examine the deformation occur which are copper pipe and PVC pipe. The goal of this research is to provide a low-cost DIC method by using a smartphone to produce a good result of full-field displacement on the pipe. This study also investigates the effects of subset size changes on the displacement measurement results performed by the DIC method. The effectiveness of this method is demonstrated by applying the method to the measurement of the displacement then been compared with the conventional method which using Vibrometer Extech 407860 for validation of the final result. The different and error in displacement measurement of the final result is discussed in this paper. Limitation of using smartphone camera with considerably low frame per second capability and resolution are the reason that the result becomes less accurate.

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