| The welding arc contains a lot of spectral and electrical signal information,which reflects the molten pool morphology and forming quality.Based on the arc spectral and electrical signal,the arc characteristics can be studied complementarily,which can provide a basis for evaluating the stability of the welding process and improving the welding process.With the development of the intelligent era,welding workshops are also facing industrial upgrading.In order to realize safe,reliable and flexible online detection and transmission of big data arc information generated by various types of welding machines in the welding workshop;to adapt to the development trend of big data,cloud computing and other technologies;to meet the production requirements of modernization,high quality and high efficiency of welding enterprises,this study developed a wireless online detection system of arc spectrum and electrical signals,using spectrum and electrical signals to analyze and study the characteristics of arcs.First of all,the functions to be realized by the system were clarified,the overall scheme of the system and the corresponding hardware structure were designed,and the running process of the system was introduced.The system hardware mainly include spectral signal acquisition system,electrical signal acquisition system and wireless transmission system.The spectral signal was collected by the spectrometer and transmitted to the router through the network cable.The collected electrical signal was conditioned and filtered by the conditioning circuit,filtered by the STM32F429IGT6 development board,and then transmitted to the ESP-12F wireless module through SPI,which is forwarded to the router by the wireless module.Both spectral and electrical signals were transmitted by the router to the wireless detection terminal through Wi Fi.Secondly,the upper computer detection interface was configured and developed.By configuring the IP_Settings_AS7010 software and designing with the Labview software,the wireless reception,display,storage,playback of the spectral signal and the function of marking the spectral line intensity with the characteristic spectral line wavelength were realized.With the help of Labview software design,With the help of Labview software,the wireless reception,display,storage,playback,U-I phase diagram and probability analysis of electrical signal were realized.The accuracy and reliability of the system were verified by debugging and actual pulse TIG welding test.Finally,based on the developed system to further verify the applicability of the developed system,the spectrum and electrical signals of the two processes of CO2welding widely used in the workshop of the cooperative enterprise,and pulsed TIG arc additive manufacturing widely used in the welding laboratory were collected.At the same time,the arc characteristics reflected by the spectral and electrical data were analyzed to evaluate the stability of the machining process.In the CO2 welding process,the system was used to analyze and compare multiple sets of short circuit transition welding parameters,evaluate the stability of the welding process,and calculate the temperature of the arc in the arcing stage.In the process of pulsed TIG arc additive manufacturing,the phenomenon of arc"riding"on both sides of the forming part was found,which is called inverted Y-shaped arc.The electron density and temperature of the normal and offset inverted Y-shaped arcs were calculated using the spectral signal,and the arc temperature field was fitted.Normal and offset inverted Y-shaped arcs were analyzed using electrical signal combined with a Gaussian heat source model.The results of spectrum and electrical signal indicated that the offset of inverted Y-shaped can cause uneven heating on both sides of the forming parts and the stability of the deposition process can be worse. |