Review Article
  • Trends in Predicting Thermoforming-Induced Deformation ofThermoplastic Composites: A Review

  • Solmi Kim*,***, Dong-Hyeop Kim*,***, Sang-Woo Kim*,**,***†, Soo-Yong Lee***

  • * Department of Aerospace and Mechanical Engineering, Korea Aerospace University
    ** Department of Aeronautical and Astronautical Engineering, Korea Aerospace University
    *** Research Institute for Aerospace Engineering and Technology, Korea Aerospace University

  • 열가소성 복합재의 열성형 변형 예측 연구 동향

  • 김솔미*,***· 김동협*,***· 김상우*,**,***† · 이수용***

  • 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.

Abstract

This paper presents research trends in predicting the deformation of carbon fiber reinforced thermoplastic (CFRTP) composites during thermoforming. Various thermoforming variables that must be considered during the CFRTP thermoforming stages are investigated, and factors influencing process-induced deformation are analyzed. Key material behavior models, such as crystallinity and viscoelastic, which are important for predicting thermoforming deformation, are also examined. Additionally, trends in predicting CFRTP thermoforming deformation using finite element analysis with material behavior models and machine learning techniques are analyzed. In summary, more precise prediction techniques for thermoforming deformation can be developed by associating them with material behavior models and considering thermoforming variables.


본 논문에서는 탄소섬유 강화 열가소성 복합재(carbon fiber reinforced thermoplastic, CFRTP)의 열성형 공정에 따른 변형 예측 연구 동향을 제시한다. CFRTP의 공정 과정에서 고려되어야 하는 다양한 공정 변수를 조사하였고, 열성형 변형에 영향을 미치는 요인을 분석하였다. 아울러 CFRTP의 열성형 변형 예측을 위한 핵심 재료 거동인 결정화도와 점탄성 거동 모델을 조사하였다. 또한 재료 거동 모델을 적용한 상용 해석 소프트웨어 기반의 열성형 해석과 머신러닝을 활용한 CFRTP의 열성형 변형 예측 기법 연구 동향을 분석하였다. 이처럼 열성형 공정 변수들을 고려하고 CFRTP의 재료 거동 모델과 열성형 변형 예측 기법을 연계함으로써 정밀한 열성형 변형 예측 기술 개발을 기대할 수 있다.


Keywords: 탄소섬유 강화 플라스틱(Carbon fiber reinforced plastic), 열가소성 복합재(Thermoplastic composites), 열성형 공정(Thermoforming process), 공정유도 변형(Process-induced deformation)

This Article

Correspondence to

  • Sang-Woo Kim

  • * Department of Aerospace and Mechanical Engineering, Korea Aerospace University
    ** Department of Aeronautical and Astronautical Engineering, Korea Aerospace University
    *** Research Institute for Aerospace Engineering and Technology, Korea Aerospace University

  • E-mail: swkim@kau.ac.kr