원격 스캐너를 이용한 알루미늄 레이저 용접에 대한 용접 특성 평가 및 최적화 변수 설계

Abstract

The latest trends of vehicle technology development are fuel efficiency improvement, body designs declining air resistance and lightweight of materials. Especially, as lightened weight of materials makes engine efficient so that vehicles keep the best performance, it os the best way to protect the environment and reduce fuel consumption. In this study, we conducted laser welding by using 3-dimension remote scanner that is 5J32 aluminium alloy. Futhermore, conduction experiment that was 3 times repeated for changing factors such as observing angle, laser power and welding speed. we observed exterior and cross section of weled part and tensile strength. When increasing laser power and decreasing laser speed, tensile strength increased. In order to evaluate factors that affect tensile strength qualitatively we conducted ANOVA. We assumed that the factors are observing angle, laser power and welding speed. Then we found that laser power and laser speed affect tensile strength. We conducted evaluation of weldability of aluminium alloy by above ways and confirmed the prediction model for the tensile strength using regression analysis. The method of prediction models for nonlinear regression model and linear regression model was used. And we have used to compare the predictive performance the coefficient of determination and average error rate In order to apply to industry should be considered to weldability and productivity. If good weldability is reduced productivity and increasing productivity occur problems to weldability. Therefore, optimization is required for weldability and productivity. The tensile strength indicating weldability and welding speed indicating productivity optimized using Fitness value.