The Optimization Of Seam Tracking Sensor Base On Magnetron-filament Submerged Arc Welding

Although with the development of science and technology changes rapidly, therelated technologies such as computer, network, intelligent robot and artificialintelligence theory has been rapid development. The automatic tracking systemof welding area also has a large number of problems, the direction of development ofwelding in the virtual towards reality technology, control technology and intelligenttechnology is an inevitable trend in the future.In this paper, author has researched onmagnetic filaments submerged arc seam tracking system, the structure of magneticsensor circuit is analyzed and optimized, obtained the quadratic regression equationabout the affect of sensor parameters on the tracking signal by using the responsesurface optimization method, to realize the tracking signal quality prediction.Application of the wavelet filtering method to filtered the droplet transfer signalin tracking signal as interference signal and gets the better of tracking signal quality.Finally the tracking effect after optimization is verified that the precision and stabilityhas been improved than before by experiment. For the study of submerged arcwelding of droplet transition in deeper and realize the submerged arc welding seamtracking of the maturing application laid a foundation. The main contents of thisthesis are as follows:1. For welding seam tracking sensor research status made a detailed analysis athome and abroad, and focuses on introduced the all kinds of welding seam trackingsensor which application in the field of submerged arc welding.2. For the circuit of magnetic control filament submerged arc welding seamtracking sensor ‘s structure parts were analyzed and optimized, choose and replace thebest performance of the chip, realize the integration and optimization of the waveformgeneration circuit and power amplifier circuit, the design and production, and achieveits associated design and production.3. For the sensors that structure has been optimized for the seam tracking signalanalysis, extraction tracking signal through a large number of experiments, obtainedthe influence law of various factors on the track signal, and from the aspects of theoryand experiment analyses its rule.4. For the Interactivity of the influential factors on the track signal has designedregression analysis, using the response surface method and BBD combination design method to establish the mathematical model, the magnetic control filament signalquality of submerged arc welding seam tracking and weld width as response value,established between response value and multiple sensor parameters of binaryregression equation, the implementation of the response value of prediction andanalysis of the optimal sensor parameters, and finally verified by testing and prove thevalidity of the optimal parameters.5. For transverse alternating magnetic field force of submerged arc weldingdroplet transition frequency variation are analyzed, and the extraction of differentexcitation frequency of seam tracking signal spectrum analysis, finally use thewavelet filter submerged arc welding droplet transition signal filtering method.Obtained the better effect of seam tracking signal, thus for the further study ofsubmerged arc welding droplet transition and submerged arc welding seam trackingstability control laid a foundation.6. For the equipment of magnetic filaments submerged arc welding trackingsystem was introduced, for the system of the sensor’s structure, parameters andtracking signal has been optimized conducted to weld tracking experiments, obtainbetter results compared to before the experiment optimization, to achieve magnetronarc sensor mature application in submerged arc seam tracking application a solidfoundation.