In the field of industrial manufacturing, X-ray machines penetrate the surface of objects like “perspective eyes”, revealing internal mysteries that are invisible to the naked eye. From precision component inspection to large-scale equipment quality inspection, this technology is driving industrial non-destructive testing towards higher precision. This article will analyze the core technology principles and industry application scenarios of X-ray machines.
1.The technical code for penetrating matter
The core principle of X-ray machines originates from the interaction between X-rays and matter. When high-energy radiation penetrates the detection object, materials of different densities will form differentiated absorption effects. By capturing the attenuated radiation signal through sensors, a two-dimensional image with clear contrast can be generated. Modern digital imaging systems can achieve a resolution of 0.05mm, which is sufficient to identify tiny pores in metal castings.
Technological innovation brings breakthroughs in 3D tomography. Industrial CT technology obtains massive projection data through 360 ° rotational scanning, and uses filtering backprojection algorithm to reconstruct 3D models. A certain automobile manufacturer uses this technology to inspect engine cylinder blocks, which can complete the internal structural analysis that takes 8 hours for traditional sectional inspection in just 20 minutes, and the inspection efficiency is improved by 24 times.
2.Multi domain landing application graph
The aerospace industry relies on X-ray machines to safeguard flight safety. In the inspection of turbine blades for a certain type of aircraft engine, the equipment can clearly display the blockage of cooling ducts below. 3mm. With the help of an AI defect recognition system, the quality inspection misjudgment rate has been reduced from 2.1% in manual inspection to. 15%. This non-destructive testing method saves airlines millions of dollars in spare parts losses every year.
The new energy industry leverages X-ray technology to break through bottlenecks. The detection of power battery modules requires simultaneous monitoring of cell alignment, welding integrity, and electrolyte distribution. A detection scheme integrates 3D-ICT technology, which increases the scanning speed to 15 cell modules per minute while maintaining a precision of 1 μ m, meeting the requirements of large-scale production.
3.Intelligent upgrade path
Deep learning algorithms are reconstructing detection standards. A certain intelligent X-ray system can automatically identify 30 common defects in industrial parts by training a million level defect sample library, achieving an AOI accuracy of 97.3% in PCB board inspection. The system has the ability of continuous learning, and for every 50000 annotated images added, the recognition accuracy can be improved by 8 percentage points.
Cloud platform promotes the release of detection data value. An industrial Internet solution connects the X-ray machine to the cloud to realize remote optimization of detection parameters and automatic generation of detection reports. After applying this solution, the comprehensive utilization rate of equipment in a certain heavy machinery group increased from 63% to 89%, and the quality inspection data fed back into the improvement of production processes, resulting in a 42% decrease in product scrap rate.
4.About newheek
Newheek specializing in the production of medical/veterinary X-ray machines and supporting equipment, covering a full range of components such as film machines, flat panel detectors, high-voltage cables, and photography flat beds, with multiple core patented technologies. Its products comply with the national medical equipment localization strategy, adopt high-frequency inverter technology, and achieve industry-leading performance. Relying on modular design and independent intellectual property rights, it can meet the diverse needs of medical institutions. Compared to imported equipment, it has a cost advantage of over 30% under the same configuration, making it a cost-effective solution for upgrading medical imaging equipment.
Post time: May-27-2025