| 자동차용 박강판 겹치기 이음부의 CO₂ 아크 용접에서 다중회귀분석기법을 이용한 용입깊이 예측에 대한 연구 |
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| A Prediction of the Penetration Depth on CO₂ Arc Welding of Steel Sheet Lap Joint with Fillet for Car Body using Multiple Regression Analysis Technique |
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Kyungmin Lee, Hyunwoo Sim, Jaehyung Kwon, Bukdong Yoon, Minki Jeong, Moonsoo Park, Boyoung Lee |
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| Abstract |
Welding is an essential process in the automotive industry. Most welding processes that are used for auto body are spot welding and CO₂ welding are used in a small part. In production field, CO₂ welding process is decreased and spot welding process is increased due to welding quality is poor and defects are occurred in CO₂ welding process frequently. But CO₂ welding process should be used at robot interference parts and closed parts where spot welding couldn’t. Because of the 0.65㎜ ~ 2.0㎜ thickness steel sheet were used in the automotive industry, poor quality of welding area such as burn through and under fill were happened frequently in CO₂ process.
In this paper, we will study about the penetration depth which gives a huge impact on burn through changing a degree of base metal, welding position and torch angle. Voltage, current and welding speed were fixed but degree of base metal, welding position and torch angle were changed. And Cold-Rolled(CR) steel sheet was used. Penetration depth was analysed by multiple regression analysis to derive approximate calculations. And reliability of approximate calculations were confirmed through additional experiments. As the results of this research, we confirmed the effect of torch and plate angle to bead shape. And we present a possibility that can simulate more accurate to weld geometry, as deduced the verification equations that has tolerance of less than 21.69%. |
| Key Words:
Welding position, Angle of plate, Torch angle, Penetration depth, Multiple regression analysis |
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