The Simulation Research Of Pulsed Eddy Current Detection Sensor On Industrial Pipeline Corrosion

Now, in the equipment testing of the petroleum and chemical industry, for the pipeline with a certain thickness of insulation layer and protective layer, it is a waste of time and labor to detect the interior corrosions by conventional non-destructive testing methods. Like this, real-time detection of the operating pipes on the line is not achieved. Aiming to this question, the paper simulates and analyzes pulsed eddy current non-destructive testing technology by ANSYS finite element software. Specially, the paper researches the optimal design about parameters of pulsed eddy current sensor.Pulsed eddy current (PEC) technique is a new non-destructive testing technology developed in recent years. Compared with traditional eddy current technique, PEC technique takes the square wave having a certain duty cycle as exciting source, and has quite a few advantages, including wider spectrum, stronger penetration, higher accuracy, and so on. So the PEC technique shows the enormous superiority to the testing of pipeline with insulation layer and protective layer.Firstly, the paper explains clearly the detecting principle of PEC technique and the theoretical foundation of electromagnetic field in ANSYS simulation software. Then set up the finite element model of the PEC detection system according to the question, and base on simulation results, the analysis method of extracting features is shown.Secondly, pulsed eddy current sensor is simulated by finite element model, and then the influences of exciting pulse width, frequency and the turns, interior radius, thickness and length of the exciting coil to the peaks and zero-crossing time of difference induced voltage signals are discussed respectively. So this work provides the theoretic reference to the size optimization of sensors. Finally, with the PEC sensor optimized above, the variety disciplinarian of peaks and zero-crossing time of difference induced voltage signals, which are affected by the length, width and depth of the different corrosion. This work establishes basic to detect quantitatively the corrosion in the actual detecting process.