3D프린팅 공정 중 공기 습도에 따른 출력물의 인장 강도에 관한 연구

A Study on Tensile Strength of the Product According to Humidity During 3D Printing Process

  • 이송연 (한국기술교육대학교 대학원 메카트로닉스공학과) ;
  • 허용정 (한국기술교육대학교 메카트로닉스공학부)
  • Lee, Song Yeon (Mechatronics Engineering, Graduate School of Korea University of Technology and Education) ;
  • Huh, Yong Jeong (School of Mechatronics Engineering, Korea University of Technology and Education)
  • 투고 : 2021.12.09
  • 심사 : 2021.12.16
  • 발행 : 2021.12.31

초록

Scaffolds protect the sensor in the body. Scaffolds are made of a bioabsorbable polymer. The polymer process is sensitive to humidity. Inside of the 3D printer has been improved to control the humidity. Specimens were produced by injection molding and 3D printer. 3D printed specimens were printed under various humidity conditions. We measured tensile strength of the injection-molded specimen and tensile strength of the 3d printing specimen. We compared tensile strength of the injection-molded specimen and tensile strength of the 3d printing specimen. Tensile strength of the injection-molded specimen is 557 kgf/cm2. We confirmed tensile strength of the specimen was highest at 741 kgf/cm2 when the humidity was 10 %. We confirmed lower the humidity, higher tensile strength of the polymer product.

키워드

과제정보

이 논문은 20 21년도 한국기술교육대학교 교수 교육연구진흥과제 지원에 의하여 연구되었음.

참고문헌

  1. Song-Yeon Lee and Yong-Jeong Huh, "A Study on Shape Warpage Defect Detection Model of Scaffold Using Deep Learning Based CNN", J. of The Korean Society of Semiconductor & Display Technology, Vol.20, pp. 99-103, 2021.
  2. Chang-Hee Lee, Min-Woo Sa, Seung-Hyuk Choi and Jong-Young Kim, "Development of a Novel Laser Sintering Deposition System for Fabrication of 3D Bio-Ceramic Scaffold", J. of The Korean Society of Mechanical Engineers, Vol.43, pp. 513-520, 2019. https://doi.org/10.3795/KSME-A.2019.43.8.513
  3. Song-Yeon Lee and Yong-Jeong Huh, "A Study on Real-Time Defect Detection System Using CNN Algorithm During Scaffold 3D Printing", J. of The Korean Society of Semiconductor & Display Technology, Vol.20, pp. 125-130, 2020.
  4. In-Young Woo and Min-Young Lyu, "Variations in the Tensile Strength in Material Extrusion-type 3D Printed Specimens for Various Tool Paths", J. of The Polymer Society of Korea, Vol.44, pp. 769-775, 2019.
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  7. Song-Yeon Lee and Yong-Jeong Huh, "A Study on Performance Comparison of Machine Learning Algorithm for Scaffold Defect Classification", J. of The Korean Society of Semiconductor & Display Technology, Vol.19, pp. 77-81, 2020.