과제정보
이 논문은 20 21년도 한국기술교육대학교 교수 교육연구진흥과제 지원에 의하여 연구되었음.
참고문헌
- 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.
- 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
- 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.
- 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.
- Xiangxu Li, Sang-Bong Lee and Ur-Ryong Cho "Study on Manufacture and Properties of Polymer Compound for Cable Sheath", J. of The Korean Society of Semiconductor & Display Technology, Vol.18, pp. 42-47, 2019.
- In-Young Woo and Min-Young Lyu, "Improvement of Tensile Strength through Asymmetric Tool Path in Material Extrusion-Type 3D Printing", J. of The Polymer Society of Korea, Vol.45, pp. 649-653, 2021. https://doi.org/10.7317/pk.2021.45.4.649
- 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.