Original Article
  • Acquisition of Parameters for Impact Damage Analysis of Sheet Molding Compound Based on Artificial Neural Network

  • Sang-Cheol Lee*, Jeong Kim*†

  • Department of Aerospace Engineering, Pusan National University, Busan, Korea

  • 인공신경망 기반 SMC 복합재료의 충돌 손상 해석을 위한 파라메터 획득

  • 이상철* · 김정*†

  • This article is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

References
  • 1. Jeon, O.H., “Technology Trends of Parts and their Materials for Automotive,” Auto Journal: Journal of the Korean Society for Automotive Engineers, Vol. 42, No. 9, 2020, pp. 46-49.
  •  
  • 2. Noh, Y.J., Lee, Y.C., and Hwang, T.W., “Synergistic Effect in Mechanical Properties of Sheet Molding Compound via Simultaneous Incorporation of Glass Fiber and Glass Bubble Fillers,” Composites Research, Vol. 31, No. 1, 2018, pp. 8-11.
  •  
  • 3. Lee, C.H., and Huh, H., “Finite Element Analysis of SMC Compression Molding Processes,” Transactions of Materials Processing, Vol. 4, No. 3, 1995, pp. 204-213.
  •  
  • 4. Lee, B.E., Kang, D.S., Park, E.T., Kim, J., Kang, B.S., and Song, W.J., “Numerical and Experimental Investigation on Impact Performance of Fiber Metal Laminates Based on Thermoplastic Composites,” Transactions of the Korean Society of Automotive Engineers, Vol. 24, No. 5, 2016, pp. 566-574.
  •  
  • 5. Ha, J.S., “Test and Finite Element Analysis on Compression after Impact Strength for Laminated Composite Structures of Unidirectional CFRP,” Composites Research, Vol. 29, No. 6, 2016, pp. 321-327.
  •  
  • 6. Won, J.M., and Shin, J.U., “Development of Artificial Neural Network Model for Prediction of Seismic Response of Building with Soil-structure Interaction,” Journal of the Korean Geotechnical Society, Vol. 36, No. 8, 2020, pp. 7-15.
  •  
  • 7. ASTM D7136/D7136M, Standard Test Method for Measuring the Damage Resistance of a Fiber-Reinforced Polymer Matrix Composite to a Drop-Weight Impact Event, 2015.
  •  
  • 8. Choi, S.Y., Hong, S.C., Kim, J.S., and Kim, J.S., “Development of Composite Crash Box for Automobile with Optimum Crashworthiness,” The Korean Society of Automotive Engineers Spring Conference Proceedings, 2018, pp. 1022-1031.
  •  
  • 9. Kim, S.P., The First Step in Deep Learning : From Machine Learning to Convolutional Neural Networks, Hanbit Media. Inc., Seoul, Korea, 2016.
  •  
  • 10. The Arup Campus, Introduction to Composites Modelling in LS-DYNA, Composites Webinar.
  •  
  • 11. Livermore Software Technology Corporation, LS-DYNA® Theory Manual, Mar. 2006.
  •  
  • 12. Woo, M.A., Lee, S.M., Lee, K.H., Song, W.J., and Kim, J., “Application of an Artificial Neural Network Model to Obtain Constitutive Equation Parameters of Materials in High Speed Forming Process,” Journal of the Korean Society for Technology of Plasticity, Vol. 27, No. 6, 2018, pp. 331-338.
  •  

This Article

Correspondence to

  • Jeong Kim

  • Department of Aerospace Engineering, Pusan National University, Busan, Korea

  • E-mail: greatkj@pusan.ac.kr