Detection system for high-pressure fuel pipes in automobiles based on labview programming

Abstract As a key component connecting the fuel injection pump and the fuel injector, the engine high—pressure fuel pipe often suffers from problems such as scratches, pit defects, and dimension deviation of the end—head bulge during the production process. However, although traditional manual inspection is simple and convenient, it is slow and not conducive to the needs of information integration and automated production. To address the issue of difficulties in detecting the end—head defects and bulge dimensions of automotive high—pressure fuel pipes, this study developed an end—head defect detection system based on LabVIEW software, which adopts a rectangular rake instead of the traditional linear rake. The LabVIEW graphical programming language was used to construct the control program, and Vision Assistant was used for image processing and analysis. This system can accomplish the detection of scratches and pit defects on the outer surface of the fuel pipe and the measurement of the end—head bulge dimensions. Experimental results indicate that the detection rates of scratches and pits are 97% and 96% respectively. Compared with manual measurement, the dimension measurement of long end—heads and short end—heads saves 86% and 90% of the working time respectively. Compared with traditional edge—point detection, the detection speed of long end—heads and short end—heads has increased by 1.5 times. This provides support and a theoretical basis for the defect detection of automotive high—pressure fuel pipes and the research of relevant systems.