Industrial Detection Efficiency Based on Automatic Industrial CT Detection System

Abstract

Abstract With the rapid development of industrial technology, nondestructive testing technology has been widely used in industry. Automatic industrial CT testing is an effective method for nondestructive testing of internal defects of large workpieces. In the 1980s, China began to study industrial CT technology. However, due to the limited conditions and demand, the automatic industrial CT has not been put into use. In this regard, the purpose of this paper is to explore the efficiency of industrial detection under the automatic industrial CT detection system. In the actual X-ray CT inspection, for the small workpiece with complex internal structure, the best detection method is to detect along the section of the internal structure of the workpiece, so that the collected data can make CT imaging clearer. At the same time, with the acceleration of nondestructive testing automation process, the traditional rotary table X-ray CT detection system has been unable to meet the needs of actual production testing. According to the existing problems, a new automatic CT detection system is proposed in this paper. The system is a CT system based on 6-DOF Industrial robot. It has 6 spatial degrees of freedom, which can flexibly realize the clamping and spatial positioning of parts. It is an effective solution to replace the rotary table for radiographic inspection. And only according to the reasonable design of the clamping device according to the testing parts, it can be directly applied to industrial production, which speeds up the development process of nondestructive testing automation technology. Finally, this paper compares the CT detection system with the traditional industrial detection system, and studies the industrial detection efficiency of the two systems. The experimental results show that the efficiency of CT detection system proposed in this paper is 33% higher than that of traditional industrial detection system. At the same time, the proposed CT detection system provides a feasible solution for the automation of industrial X-ray CT detection.