EL3147 Digital Signal and Image Processing Assignment

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Reference no: EM132571808 , Length: 15 pages

EL3147 Digital Signal & Image Processing - University of Central Lancashire

Non-Destructive Identification of Mechanically Stronger Composite Plates

Assessment Brief

Aim
This assignment is designed to give students an introduction to digital signal and image processing (DSIP) through their applications in ultrasonic non-destructive evaluation of engineering structures. You are required to use the Matlab software package to design and implement a DSIP system to identify a mechanically stronger plate manufactured using composite carbon fibre materials.

Background and Problem
In a carbon fibre composite part, porosity is a defect that appears as small interlaminar voids. As the level of porosity increases, the mechanical strength of the composite part decreases. To evaluate the porosity level non-destructively, ultrasonic measurement is commonly employed. The process involves transmission of high-intensity ultrasonic waves through the component part under test and assessment of the relative amplitude values of the echoes reflected respectively from the front wall and the back wall of the composite part. A higher ultrasonic attenuation indicates a less dense composite part with higher porosity.

Two ultrasonic data files obtained from two laminated composite material plates with 3 mm thickness are provided as "CompositeX.mat" and "CompositeY.mat". The data was acquired with a sampling frequency at 100 MHz over an area of 40 mm x 20 mm with 1 mm resolution. You are asked to produce a Matlab program to process the ultrasonic data and to identify which composite plate has the stronger mechanical strength overall.

Relevant files for the assignment are provided as email attachment together with this assignment brief and marking scheme for report writing.

Requirements

Task 1: Signal analysis
Ultrasonic signals are noisy in nature due to the back scattering phenomenon produced by the inherent microstructure of the material. The first step is to extract a typical ultrasonic signal from each composite part under test, and to carry out detailed signal analysis in the time and frequency domains to identify key signal features such as locations, magnitudes and frequencies for ultrasonic echoes and noise.

Task 2: Noise reduction
With the ultrasonic measurement operating at a particular frequency band, the second step is to implement a suitable digital filtering system to reduce the impact of out-of-band noise on ultrasonic echoes, and to demonstrate the effectiveness of the filter by comparing the output with respect to input in the time and frequency domains. A good filter should yield an output signal that is as similar to the original signal as possible in the two ultrasonic echo intervals (with minimum amplitude distortion) and as near to zero as possible outside the two ultrasonic echo intervals.

Task 3: Attenuation estimation
The fourth step is to estimate the attenuation of the back wall echo with respect to the front wall echo. This involves application of the filter developed in the second step to the whole ultrasonic record of each composite plate, extraction of the two peak values from the front wall and back wall echoes in each ultrasonic signal, and calculation of the echo attenuation at each ultrasonic measurement point. The results should lead to two echo attenuation images for comparative visualisation of two composite plates.

Task 4: Part sentencing
The final step is to show the two distributions of the echo attenuation values obtained from the third step, to compute basic statistics for the two distributions, and to use the results to determine which composite plate has the stronger mechanical strength overall.

Attachment:- Digital Signal and Image Processing.rar

Reference no: EM132571808

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