Hardness Estimation of Laser Welded Boron Steel Welds with the Carbon Equivalent

전, 인환; 김, 철희; 김, 재도

doi:10.5781/jwj.2016.34.5.1

Cited by 5 publications

(3 citation statements)

References 15 publications

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“…Therefore, in this study, the hardness of the WM was only estimated by the chemical compositions of the BM rather than by the thermal history. The carbon equivalent proposed in the authors' previous study [21] was adopted in order to estimate the strength of the welds Equation (1). This was established based on Kaizu's equation, which was derived from laser welding, and modified to consider the boron in the hot-press forming steel.…”

Section: Estimation Of Hardness With Carbon Equivalentmentioning

confidence: 99%

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Tensile–Shear Fracture Behavior Prediction of High-Strength Steel Laser Overlap Welds

Kang

Jeon

Han

et al. 2018

Metals

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Abstract:A wider interface bead width is required for laser overlap welding by increasing the strength of the base material (BM) because the strength difference between the weld metal (WM) and the BM decreases. An insufficient interface bead width leads to interface fracturing rather than to the fracture of the BM and heat-affected zone (HAZ) during a tensile-shear test. An analytic model was developed to predict the tensile-shear fracture location without destructive testing. The model estimated the hardness of the WM and HAZ by using information such as the chemical composition and tensile strength of the BM provided by the steel makers. The strength of the weldments was calculated from the estimated hardness. The developed model considered overlap weldments with similar and dissimilar material combinations of various steel grades from 590 to 1500 MPa. The critical interface bead width for avoiding interface fracturing was suggested with an accuracy higher than 90%. Under all the experimental conditions, a bead width that was only 5% larger than the calculated value could prevent the fracture of the interface.

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Section: Estimation Of Hardness With Carbon Equivalentmentioning

confidence: 99%

“…Uijl et al [20] evaluated carbon equivalents for various welding processes including laser welding. The authors modified Kaizu's carbon equivalent equation [18] to extend the hardness prediction model such that it would include boron steels [21].…”

Section: Introductionmentioning

confidence: 99%

Tensile–Shear Fracture Behavior Prediction of High-Strength Steel Laser Overlap Welds

Kang

Jeon

Han

et al. 2018

Metals

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“…2010년 이후 핫프레스 포밍강의 자동차 적용이 확대되 면서 1.5 GPa에서 2.0 GPa 강도의 소재에 대한 용 접성이 검토되고 있다 [12][13][14][15][16][17] . 또한 소재 경화도 예측을 핫프레스 포밍강 등 초고강도강으로 확대하여 18) , 소재 화학성분에 따른 저항 점용접부의 파단모드 예측연구도 소개된바 있다 19) . 저항 점용접부의 형상 및 성능의 최 적화는 실험 모사 20) , 전산해석 21) , 실험계획 및 반응표 면법 22) , 신경망 적용 23) 등 다양한 방법론을 통해서 시 도되었다.…”

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Machine Learning Modeling and Hyper-Parameter Optimization for Weld Nugget Formation and Failure Behavior of Resistance Spot Welds

You¹,

Kim²

2021

Journal of Welding and Joining

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The welding process parameters of resistance spot welding are determined by quality indicators, such as nugget diameter, and tensile shear test behavior, such as failure load and location. In this study, deep-learning models were investigated to predict the quality indicators from base materials and process parameter information. For each model, hyperparameters, such as the number of hidden layers, number of nodes in the hidden layer, learning rate of the optimizer, and number of epochs, were optimized based on the model performance. The regression models for nugget diameter and failure load showed coefficients of determination of 0.90 and 0.95, respectively. Two models were developed to classify failure location: a 1-step model that estimates the failure location from the base material information and process parameters, and a 2-step model that estimates the failure location from the base material information and the nugget diameter as predicted by the developed regression model. The classification models for failure location showed similar accuracies of approximately 90%.

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Microstructure and Hardness Behavior of Friction Stir Welds of 2 GPa Strength Hot Press Forming Steel

Park¹,

Yoon²,

Kang³

et al. 2023

J. of Materi Eng and Perform

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Hardness Estimation of Laser Welded Boron Steel Welds with the Carbon Equivalent

Cited by 5 publications

References 15 publications

Tensile–Shear Fracture Behavior Prediction of High-Strength Steel Laser Overlap Welds

Tensile–Shear Fracture Behavior Prediction of High-Strength Steel Laser Overlap Welds

Machine Learning Modeling and Hyper-Parameter Optimization for Weld Nugget Formation and Failure Behavior of Resistance Spot Welds

Microstructure and Hardness Behavior of Friction Stir Welds of 2 GPa Strength Hot Press Forming Steel

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