DOI QR코드

DOI QR Code

시뮬레이션을 이용한 고효율 차체용 780MPa급 강판의 저항 점 용접 강도 예측 모델 개발

Strength Estimation Model of Resistance Spot Welding in 780MPa Steel Sheet Using Simulation for High Efficiency Car Bodies

  • 손창석 (국립부경대학교 기계공학과) ;
  • 박영환 (국립부경대학교 기계공학과)
  • Son, Chang-Seok (Department of Mechanical Engineering, Pukyong National University) ;
  • Park, Young-Whan (Department of Mechanical Engineering, Pukyong National University)
  • 투고 : 2015.01.23
  • 심사 : 2015.03.26
  • 발행 : 2015.04.30

초록

Nowadays, car manufacturers applied many high strength steels such AHSS or UHSS to car bodies for weight lightening. Therefore, a variety of applied steel sheet to car bodies increased and the needs of simulation to evaluate weldability also increased in order to reduce the cost and time. In this study, resistance spot welding simulations for DP 780 Steel with 1.0 and 1.4 mm thickness were conducted with respect to lobe curve. 2 regression models to estimate tensile shear strength were suggested and they were second order polynomial regression model and optimized second order regression model. The performance of these models was evaluated in terms of the coefficient of determinant and average error rate.

키워드

참고문헌

  1. T. K. Han, K. Y. Lee, and J. S. Kim, 2009, "Recent Developments and Weldability of Advanced High Strength Steels for Automotive Applications", Journal of Korean Welding and Joining Society, Vol. 27, No. 2, pp. 13-18.
  2. C. M. Calva and T. W. Eagar, 1990, "Enhancement of the Weldability in Resistance Spot Welding", AWS Detroit Section, Sheet Metal Welding Conference IV.
  3. T. M. Hong, Y. B. Choi, S. P. Kim, J. H. Lee, and H. S. Chang, 1993, "Estimation of Nugget Size Using Artificial Neural network & Comparison to Regression Method for Resistance Spot Welding", Proceedings of KSME Spring Conference, Vol. 1, No. 1, pp. 929-932.
  4. N. Muhammad and Y. H. Manurung, 2012, "Design Parameters Selection and Optimization of Weld Zone Development in Resistance Spot Welding", World Academy of Science, Engineering and Technology, Vol. 6, No. 11, pp. 1220-1225.
  5. J. H. Cho, 2013, "Prediction of Arc Welding Quality through Artificial Neural Network", Journal of Korean Welding and Joining Society, Vol. 31, No. 3, pp. 44-48.
  6. Y. S. Kong and Y. W. Park, 2014, "Mechanical Property and Process Variables Optimization of Tube-to-Tube Friction Welding for Steel Pipe with 36 mm External Diameter", Journal of the Korea Society For Power System Engineering, Vol. 18, No. 2, pp. 50-56. https://doi.org/10.9726/kspse.2014.18.2.050

피인용 문헌

  1. 시뮬레이션을 통한 1500 MPa급 강재의 저항 용접 특성 (II) - 저항 점 용접 너겟 지름 예측 모델 개발 - vol.36, pp.3, 2015, https://doi.org/10.5781/jwj.2018.36.3.8