Digital coating thickness gauge layered analysis of thickness data
Publish Time: 2024-12-18
In many industrial fields, the surface of products is often covered with multiple layers of coatings with different functions. Accurately grasping the thickness of each layer of coating is crucial to controlling quality, which highlights the key position of digital coating thickness gauge layered analysis ability.
The foundation of digital coating thickness gauge to achieve layered measurement lies in advanced sensing technology. When using multi-frequency ultrasonic sensing, different frequency ultrasonic waves have different reflection and refraction characteristics at the interface of each coating. High-frequency ultrasonic waves are sensitive to shallow and thin coatings, and can carefully capture the microscopic thickness changes of the first layer of coating close to the substrate; low-frequency waves have strong penetration and can penetrate shallow layers to reach deep coatings. By analyzing the echo time difference and amplitude attenuation, according to the acoustic impedance differences of each layer, a clear layered thickness image is gradually outlined.
Algorithm software is the core driving force. The built-in intelligent recognition algorithm is trained based on massive coating sample data, which can accurately sort out the starting and ending feature points of each layer in complex echo signals. Like the paint surface of a car, the three layers of primer, color paint and clear varnish are closely connected. The algorithm can filter out clutter interference, lock the unique signal "fingerprint" of each layer, and accurately calculate the thickness. The dynamic calibration mechanism runs synchronously, and the parameters are fine-tuned in real time with reference to the standard sample data during measurement to ensure continuous and accurate multi-layer measurement and adapt to the deviation of different material substrates and coating combinations.
The probe design is also carefully thought out. The special multi-probe matrix combination, some probes focus on shallow microscopic detection, with tricky angles, closely fit the curved surface to capture subtle thickness gradients; other probes fan-shaped low-frequency waves, scan deep layers over a large range, and work together to achieve all-round layered perception. When inspecting the coating of aircraft engine blades, this design can bypass the interference of complex cooling channel structures and accurately "portrait" each layer of thermal barrier coating and anti-corrosion coating. With the innovative integration of sensors, algorithms, and probes in multiple dimensions, the digital coating thickness gauge layered analysis thickness data is becoming more accurate and efficient, firmly supporting the high-end manufacturing coating quality control building, and escorting the improvement of product performance and life.
