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Research On Automatic Inspection And Grinding Integrated Processing System Of Welded Pipe Weld

Posted on:2022-04-13Degree:MasterType:Thesis
Country:ChinaCandidate:D X LiFull Text:PDF
GTID:2481306551987509Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of modern industry,metal bobbins are widely used in the fields of machine parts,petrochemical industry and medical devices.As an important processing technology,welding is used to improve the effective length of metal bobbins and reduce the processing cost.The existence of welding seam has an impact on the use of welded bobbins.It is an important way to improve the pass rate of weld grinding by automatic equipment;in the manufacturing environment where the weld detection end and grinding end are separated from each other,the weld surface morphology data detection value can not be applied to the grinding end in time,at the grinding end,the weld surface is analyzed and processed by manual detection.At the same time,a large number of G code programming is needed,which reduces the grinding efficiency and qualified rate,and the processing consistency is poor.Therefore,based on laser measurement,linear material removal model and weld grinding experiment,this paper studies the detection and processing method of weld surface morphology data,grinding pressure adaptive technology and in machine automatic inspection and grinding integrated processing technology,and the main results are as follows:(1)Based on the research status at home and abroad of welding bobbin weld inspection grinding process,after analyzing the main technical difficulties,this paper puts forward the technical methods to solve the existing difficulties,and formulates the overall technical framework of welding bobbin weld automatic inspection grinding integrated processing system.(2)Based on the analysis of the complex three-dimensional structure of the weld surface and the existing measurement methods,in this paper,the laser measurement method is selected,in order to solve the problem that the sensor lacks X-direction freedom and inclination error in the process of laser measurement of weld morphology data,a displacement drive module is designed,and an inclination error compensation algorithm is proposed.The data accuracy is improved by averaging through multiple measurements.(3)Based on the weld surface morphology data and linear material removal model,the grinding pressure is selected as the control variable after considering the main factors and processing stability in the process of weld grinding.The quantitative adjustment relationship between the cylinder pressure and the grinding removal is obtained through experiments,which lays a foundation for the adaptive adjustment of the cylinder pressure in the grinding process.(4)The quantitative relationship between cylinder pressure and grinding removal was verified by experiments.Based on the profile of the horizontal section of the welded seam of the tube after grinding and the relative height of the welded seam center after grinding,after grinding,the profile curve of the middle part of the weld is replaced with the data.According to the residual grinding removal,the corresponding cylinder pressure is calculated,automatic generation of processing G code,regrinding weld with abrasive belt,the integration of on machine automatic inspection and grinding is realized.(5)The software system and hardware circuit are designed according to the integrated process of automatic inspection and grinding of the welding seam of the bobbin.The key technology,software system and hardware circuit of automatic inspection and grinding of welded pipe weld are verified in an all-round way on the experimental platform of abrasive belt CNC grinder.It is proved that the relative height difference of welded pipe weld surface after grinding meets the processing requirements of ±0.1 mm.The machining process of high-precision detection,selfadaptive grinding pressure and automatic inspection and grinding integration is realized,the detection efficiency and grinding qualified rate are improved.
Keywords/Search Tags:topography data, linear material removal model, inclination error, grinding pressure, integration of automatic inspection and grinding
PDF Full Text Request
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