CTS-PA22T real-time 3D full focus bolt special instrument
USD $8,000 - $10,000 /Set
Min.Order:1 Set
Lixian Instrument Scientific Co., Ltd.
Introduction:
The CTS-PA22T system uses 3D imaging to detect bolts or pins. The pattern can be rotated and observed. The defect identification is simple, the detection speed is fast, and the average detection time of one pin is 2 seconds. The detection result is reliable and the damage is easy to observe. The professional skills of the operator can be obtained without the need to master the instrument and connect the probe according to the prescribed method. Only one day of operation training can be used to master the flaw detection method.
Based on Full Matrix Capture (FMC), the Total Focusing Method (TFM) ultrasonic imaging detection technology has become a phased array in recent years due to its high resolution, high resolution and flexible algorithm. Research hotspots in the field of ultrasonic imaging detection. At present, researches on all-focus imaging technology by researchers at home and abroad mainly focus on two-dimensional full-focus imaging using a one-dimensional line array.
The CTS-PA22T system collects 3D spatial information data in real time based on 2D area array probes, and realizes real-time 3D full-focus imaging of hardware by using the high-speed parallel computing capability of the chip. The detection imaging results are very intuitive and can truly restore the overall internal structure of the workpiece, so as to achieve the detection effect that is seen and detected.
Technical Parameters:
Detection speed: 2 seconds / root Channel configuration: 64 fully parallel phased array hardware channels Probe configuration: Configurable 8*8 area array probe, frequency range 1MHz~15MHz Secondary development: Provides secondary development functions, and the function interface is completely open Real-time: Image refresh rate up to 20 frames per s Data saving: Provide original full matrix data and test result saving function Embedded processor: Large chip embedded, real-time hardware processing capability of big data is about 2GByte/s |
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