As one of the basic common technologies of modern equipment manufacturing industry, large steel casting parts are widely used in cement, mining, steel, oil and gas, fertilizer, sugar and other industrial fields.

Large steel castings with thicker thickness cannot be fully detected by X-ray detection technology and eddy current thermal imaging detection technology. Currently, acoustic-based non-destructive testing technology is mainly used. Tenfaye follows international flaw detection standards and adopts ultrasonic non-destructive flaw detection system.
Tenfaye currently has GS-1000 direct reading spectrometer, carbon and sulfur analyzer, three-element analyzer, mechanical property testing machine, impact test low temperature tank, impact testing machine, UT, MT flaw detection equipment, etc. from German OBLF company. Successfully passed environmental management system certification, occupational health and safety management system certification, and safety production standardization certification.

Ultrasonic testing technology has the following characteristics:
1) Based on the characteristics of ultrasonic wave itself, which has strong penetrating power and low energy attenuation, it is sufficient to detect, locate, evaluate and diagnose internal cracks, inclusion defects and hole defects of thick castings with a depth of several meters;
2) The hardware cost of ultrasonic detection device is low, harmless to human body and does not pollute the environment;
3) It can detect the tested castings at high speed and multi-angle to obtain characteristic information such as the location, size and shape of internal defects.
On the other hand, ultrasonic testing technology is not easy to inspect castings with complex structures, and has certain requirements for the flatness of the tested surface, and requires coupling agent to assist the ultrasonic wave to enter the casting. Therefore, when choosing the detection method, it should be in line with the actual needs of Henan foundry, focus on resource integration, and promote resource aggregation to improve overall efficiency.