Terahertz Automatic Testing SystemANTHz5 Robot-Integrated Online Inspection System

Application Areas

An Industry 4.0-oriented automated solution. By integrating terahertz sensors with a six-axis robotic arm and path simulation software, it achieves full-coverage, high-repeatability scanning of complex curved components (such as aircraft skins and composite material impellers). The system supports communication with production line PLCs, enabling 100% online real-time quality monitoring and data traceability.

This automated solution is highly flexible, allowing rapid adjustment of the scanning path according to the shape and size of different workpieces, ensuring comprehensive and accurate inspection. At the same time, the built-in intelligent algorithms can analyze scanning data in real time, automatically identifying defect types and locations, providing precise guidance for subsequent repair work. In addition, the solution supports remote monitoring and fault diagnosis, greatly reducing maintenance costs and downtime, and improving the overall efficiency and reliability of the production line.

可检测材料:

Inspection System

ANTHz5 Robot-Integrated Online Inspection System

An Industry 4.0-oriented automated solution. By integrating terahertz sensors with a six-axis robotic arm and path simulation software, it achieves full-coverage, high-repeatability scanning of complex curved components (such as aircraft skins and composite material impellers). The system supports communication with production line PLCs, enabling 100% online real-time quality monitoring and data traceability.

This automated solution is highly flexible, allowing rapid adjustment of the scanning path according to the shape and size of different workpieces, ensuring comprehensive and accurate inspection. At the same time, the built-in intelligent algorithms can analyze scanning data in real time, automatically identifying defect types and locations, providing precise guidance for subsequent repair work. In addition, the solution supports remote monitoring and fault diagnosis, greatly reducing maintenance costs and downtime, and improving the overall efficiency and reliability of the production line.

Time-Domain Waveform Analysis:

The software records and displays the raw time-domain signal of the terahertz pulse. By analyzing the time delay of the pulse peak, the optical path difference can be precisely calculated, enabling nanometer-accurate thickness measurement of single-layer or multi-layer materials. This mode is the fundamental method for obtaining basic physical property parameters such as refractive index and absorption coefficient of materials.

C-C-Scan Imaging Method:

By arranging the time-domain waveforms of a series of consecutive measurement points in spatial order, a two-dimensional cross-sectional image perpendicular to the scanning direction inside the sample is constructed. This function can intuitively present the precise location and longitudinal size of defects (such as debonding, porosity) in the depth direction, serving as a key tool for defect characterization and depth positioning.

B-Scan Analysis Method:

By setting a specific time gate (corresponding to a specific depth), the signal intensity or peak time information at that depth for each scanning point is extracted, generating a two-dimensional planar projection image of a specific layer inside the sample. It can clearly reveal the planar distribution, shape, and size of defects, making it suitable for large-area rapid screening and quality assessment.

Terahertz (THz) waves generally refer to electromagnetic radiation with frequencies between 0.1 and 10 THz, corresponding to wavelengths from 3 mm to 30 μm; this band lies between microwaves and infrared. Terahertz inspection systems utilize THz waves transmitted through a sample or reflected from its surface to measure the resulting time-varying THz electric field. By applying Fourier transform, the amplitude and phase changes of the THz pulse in the frequency domain are obtained, thereby extracting information about the sample.

 

Parameter Name Value
Frequency Range 0.0015~10(optional)
Signal-to-Noise Ratio >70 dB
Fast Scan Range 160~700per second
Long Scan Range 2.8 ns
Scanning Accuracy 0.1~0.6m
Scanning Resolution 0.1 mm
Energy 4 meV
Wavelength 300 μm
Frequency 1 THz

Principle

Microwave absorbing material is a type of material that can absorb or significantly reduce electromagnetic wave energy, thereby reducing electromagnetic interference. It features light weight, temperature resistance, moisture resistance, corrosion resistance, and other properties.
The thickness and uniformity of the coating have a direct impact on the material's performance and stealth effectiveness, so it is necessary to control coating quality through non-destructive testing methods.
Currently, commonly used thickness measurement methods include ultrasonic thickness measurement, eddy current thickness measurement, infrared thickness measurement, and radiographic thickness measurement.
Ultrasonic thickness measurement is suitable for contact inspection but cannot accurately measure multilayer structures; eddy current thickness measurement is limited by electrical conductivity; infrared thickness measurement performs poorly at high temperatures and has limited resolution; radiographic inspection offers high accuracy but carries radiation risks.
Therefore, a new non-destructive testing method is urgently needed, and terahertz NDT technology can meet this requirement.

What is Terahertz?
It is a part of the electromagnetic spectrum between infrared and microwaves. Time-domain terahertz is a pulsed electromagnetic method used for measurement, defect detection, and imaging. It is often used like an electromagnetic analog of ultrasound.

Conclusion

The typical pulse width of a terahertz pulse is on the order of picoseconds, which not only facilitates time-resolved measurements of various materials (including liquids, semiconductors, superconductors, biological samples, composite materials, etc.), but also effectively suppresses background radiation noise interference through sampling measurement techniques. Currently, the signal-to-noise ratio for radiation intensity measurements can exceed 10⁴, far higher than that of Fourier-transform infrared spectroscopy and ultrasonic techniques, with better stability. The resolution is better than 0.1 μm, and the accuracy is better than ±5 μm, much higher than that of conventional ultrasonic equipment. Carbon fiber materials, like metals, strongly reflect terahertz waves, thus providing stronger reflected waveforms that help improve measurement accuracy. Compared with imaging techniques in the infrared, ultrasonic, and millimeter-wave bands, terahertz imaging technology offers significantly improved resolution and depth of field in the detected images. In addition, the uniqueness of terahertz technology includes reduced scattering in inhomogeneous materials, making it suitable for composite material inspection. Compared with ultrasonic testing, terahertz spectroscopy not only has a high signal-to-noise ratio and can rapidly analyze and identify subtle changes in sample composition, but it is also a non-contact measurement technique, enabling fast and accurate measurement of physical information of semiconductors and electrolyte films. These characteristics endow terahertz technology with significant application prospects in many fundamental research fields, industrial applications, military fields, and biomedical areas.