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Usage of Multiple Regression Analysis in Prediction System of Process Parameters for Arc Robot Welding

아크로봇 용접 공정변수 예측시스템에 다중회귀 분석법의 사용

  • 이정익 (인하공업전문대학 기계설계과)
  • Published : 2008.08.31

Abstract

It is important to investigate the relationship between weld process parameters and weld bead geometry for adaptive arc robot welding. Howeve, it is difficult to predict an exact back-bead owing to gap in process of butt welding. In this paper, the quantitative prediction system to specify the relationship external weld conditions and weld bead geometry was developed to get suitable back-bead in butt welding which is widely applied on industrial field. Multiple regression analysis for the prediction of process parameters was used as the research method. And, the results of the prediction method were compared and analyzed.

Keywords

Gas Metal Arc Welding;Back-Bead;Width of Back-Bead;Depth of Back-Bead;Laser Vision Sensor;Multiple Regression Analysis

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