| TABLE OF CONTENTS |
It is important to perform characterizations of materials rapidly. More specifically, it would be highly desirable to:
The insertion of NDE technologies into material development with the ability to provide immediate production control feedback, and in-field structural health monitoring becomes more readily achievable. The basis for the technology is a patented ultrasound sensitive integrated circuit which reads out two-dimensional ultrasound data into a standard TV output, enabling ultrasound C-scanning in real time.
Although ultrasonic C-scanning was originally developed for inspection of homogeneous materials, the method has been now been applied to inspection for detection of corrosion, delaminations, porosity and inclusions, and to monitor the initiation and progression of damage resulting from applied mechanical loads and other environmental factors. The ultrasound imager builds on that capability by allowing these inspections to be made much more rapidly. The sort of problems encountered that we intend to monitor include real time imaging of:
![]() ![]() Figure 1: Real-time Ultrasound Imaging Implementation |
Specific applications that we have addressed are as follows:
The implementation of the system for fault detection on aircraft using a hand held probe generating 'slices' inside targets is shown in Figure 1.
![]() Figure 2: System User Interface LCD |
The system is best described as a 'camcorder for sound'. Similar to a conventional camcorder which is based on CCD technology sensitive to light, Imperium has developed a novel 2D read out IC sensitive to ultrasound, not light. The technique can be used in either reflection (pulse-echo) or transmission. The transmitter is separate from the novel IC receiver. The system is broadband, working over a wide range of frequencies.
A large area, uniform ultrasound beam insonifies the desired target. In the reflection mode, the beam strikes the target and returns back towards the sensor. An acoustic lens is used to collect the resulting beam and focus the information onto the IC array.
![]() Figure 3: ultrasound array |
The pattern formed strikes the ultrasound sensitive pixel elements (128 x 128) of the array. The voltage generated at each pixel is transferred to the silicon CMOS multiplexer which is designed to read out the individual voltages sequentially, producing a TV like image.
Signal processing provides 'range gating' by controlling the acquisition time of the array to occur when the ultrasound pulse generated by the source transducer returns from a predetermined depth within the target (e.g. 5 mm in depth, See Figure 1). Each of the thirty frames per second can be programmed to return from a different depth, providing 3D information (e.g. 3 mm to 8 mm, with 1 mm increments). Alternatively, at a single depth, the frames could be integrated to provide enhanced signal to noise. The RS170 TV signal is then frame grabbed and coupled to a standard machine vision system which performs acceptance/rejection criteria, image enhancement, false color, image annotation, etc.
![]() Figure 4: Adjustable 'Zoom' Selection |
The separation of the receive and transmission functions is not intended to imply that they are to be physically separated from each other. However, the separation into the receive and transmission modes does point out the flexibility inherent in the design of the imager.
Our array is approximately 1 cm on a side (128 elements with 85 micron center to center spacing). If 85 micron resolution is desired, it could be achieved but with 1 cm area coverage. In this case, the target area covered is equal to the area of the array. However, if the required resolution is 1 mm, then by setting the lens position, an area coverage of 128 mm of the target will be achieved. Since the camera operates at 30 frames a second or higher, reasonably large areas would be covered in times much less than required by a point by point scan. Similarly, if higher resolution is required, magnification of the image will result in better resolution, but sacrifice area coverage. The objective is a 'zoom in' or 'zoom out' as the operator desires as shown in Figure 4. The ultimate resolution will be limited by the wavelength of the ultrasound employed.
![]() Figure 5: Highly uniform beam used for imaging |
The influence of advanced signal processing and pattern recognition algorithms, and an enhanced hardware for ultrasonic non-destructive testing capabilities has been phenomenal. The recent systems store more data and analyze and image with good efficiency and hence make the whole system automatic and more reliable. Our TV formatted image is immediately adaptable to well developed commercial machine vision systems which perform immediate:
![]() Figure 6: Without Zoom | ![]() Figure 7: With Zoom |
Close examination of Figures 6 and 7 shows that the images are made up of a set of small squares or pixels. The smallest squares are generated by the actual pixel separation in the focal plane array. In this array the pixels are 85 microns apart. Knowing the pixel size one can determine the image size by counting the number of pixels across the image.
As a first approximation it is typical to invoke the Rayleigh criterion:
min = 1.22
/ D
Figure 8: Aircraft Rivet with Crack Pointing Up
![]() Figure 9: Corroded Aluminum Plate |
Figure 8 is an image of an airplane rivet where a crack can clearly be seen emanating straight up. Figure 9 is an aluminum plate with spots of corrosion.
It is important to point out that images of targets moving across the field of view, either by panning the camera or by moving the target, appear more detectable. The motion of details within the image catch the observer's eye and are readily tracked across the image plane.
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