Transactions of the Korean Society of Mechanical Engineers A (대한기계학회논문집A)

The Korean Society of Mechanical Engineers (대한기계학회)
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Identification and Optimization of Dominant Process Parameters Affecting Mechanical Properties of FDM 3D Printed Parts

압출적층조형 공정 기반 3D 프린팅 제품 기계적 특성의 지배적 공정인자 도출 및 최적화에 관한 연구

  • Kim, Jung Sub (Dept. of Mechanical Engineering, Sungkyunkwan Univ.) ;
  • Jo, Nanhyeon (Service Design Institute, Sungkyunkwan Univ.) ;
  • Nam, Jung Soo (Dept. of Mechanical Engineering, Sungkyunkwan Univ.) ;
  • Lee, Sang Won (Dept. of Mechanical Engineering, Sungkyunkwan Univ.)
  • 김정섭 (성균관대학교 기계공학과) ;
  • 조난현 (성균관대학교 서비스융합디자인협동과정) ;
  • 남정수 (성균관대학교 기계공학과) ;
  • 이상원 (성균관대학교 기계공학과)
  • Received : 2016.10.11
  • Accepted : 2017.02.16
  • Published : 2017.07.01
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Abstract

Recently, additive manufacturing (AM) technology, also known as 3D printing technology, has attracted attention as an innovative production method to fabricate functional components having complex shapes with saving materials. In particular, a fabrication of poly lactic acid (PLA) parts through a fused deposition modeling (FDM) technique has attracted much attention in the medical field. In this paper, an experimental study on the identification of dominant process parameters influencing mechanical properties of PLA parts fabricated by the FDM process is conducted, and their optimal values for maximizing the mechanical properties are obtained. Three process parameters are considered in this research, namely, layer thickness, a part orientation and in-fill. It is known that thin layer thickness, part orientation diagonal to the tension direction, and full in-fill are optimal conditions to maximize the mechanical properties.

최근 다양한 분야에 적용되고 있는 적층 가공 기술(AM)은 복잡한 형상 제조 및 재료 비용 절감으로 인해 혁신적인 제품 생산 방법으로 각광을 받고 있다. 그 중에서도 압출적층조형(Fused Deposition Modeling, FDM) 공정을 통한 친환경 부품 제조는 의료 분야산업에서 많은 주목을 받고 있다. 따라서, 본 논문에서는 친환경 생분해성 재료인 Poly Lactic Acid(PLA)를 사용한 FDM 공정 실험을 수행하고 제작된 적층 시편에 대한 인장 시험을 적용하여 주요 FDM 공정 변수인 적층 두께, 적층 방향, 적층 충진량이 인장 시편의 기계적 성질에 미치는 영향을 정량적 및 정성적으로 분석하고 이를 극대화하는 각 공정 변수의 최적값을 도출하였다.

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References

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