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"Hochan Kim"

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Latest Research Trends of 3D Printing in Korea
Sung Jong Choi, Yong Hwan Bae, In Hwan Lee, Hochan Kim
J. Korean Soc. Precis. Eng. 2018;35(9):829-834.
Published online September 1, 2018
DOI: https://doi.org/10.7736/KSPE.2018.35.9.829
3D printing technology was developed in the early 1990s, and continues to grow to the present day. Globally, 3D printing technology developed as processing technology, but now progresses to various application technologies. Korea had an initial interest in overseas 3D printing technology, but the first prototype industries were limited. Recently, 3D printing technology has been attracting attention as a future technology, and the interest of people and research have been greatly increased. In Korea, it is known that many researches related to 3D printing are performed recently. However, it is true that research on the quantitative counting of specific research fields and analysis has not been sufficiently reviewed. Therefore, this paper introduces study results to understand trends of 3D printing research in Korea and to extract the mainstream fields, focusing on the articles published in Korean journals. This paper shows various indexes, such as the number of papers per year, as well as research fields and tendency of increases and decreases calculated and introduced with this topic.

Citations

Citations to this article as recorded by  Crossref logo
  • A Study on the Wear Phenomena of PLA and PETG Materials for 3D Printing in Non-lubricated Condition
    Yonsang Cho, Hyunseop Lee
    Journal of the Korean Society for Precision Engineering.2024; 41(2): 145.     CrossRef
  • Study on Mechanical Properties of MWCNT Reinforced Photocurable Urethane Acrylate for Additive Manufacturing
    Hyunjun Jo, Bum-Joo Lee
    Journal of the Korean Society for Precision Engineering.2024; 41(3): 199.     CrossRef
  • Mechanical Property Test Results for Additive Manufactured Specimens of Stainless Steel 316 L after Heat Treatment
    Kyungnam Jang, Seunghan Yang, Dae Seung Park
    Journal of the Korean Society for Precision Engineering.2024; 41(7): 551.     CrossRef
  • Dimensional Characteristics of Hydraulic Actuator Curve based on 3D Printing Filament Materials
    Myung-Hwi Jung, Jeong-Ri Kong, Hae-Ji Kim
    Journal of the Korean Society of Manufacturing Process Engineers.2021; 20(1): 74.     CrossRef
  • Feasibility Study on Dimensional Standard for Material Extrusion Type 3D Printed Structures
    Sunghoon Eom, Jungjae Park, Jonghan Jin, Yong Son
    Journal of the Korean Society for Precision Engineering.2020; 37(4): 241.     CrossRef
  • Study on Output Characteristics of Printed Flexible Tactile Sensors Connected to Brass Terminals
    Jindong Kim, Yonghwan Bae, Inhwan Lee, Hochan Kim
    Journal of the Korean Society of Manufacturing Process Engineers.2020; 19(4): 65.     CrossRef
  • Optimization of Manufacturing Conditions of Pressure-Sensitive Ink Based on MWCNTs
    Sung-Chul Park, In-Hwan Lee, Yong-Hwan Bae, Ho-chan Kim
    Journal of the Korean Society of Manufacturing Process Engineers.2019; 18(8): 1.     CrossRef
  • Friction and Wear Characteristics of ABS-like Resin for 3D Printing Under Non-Lubricated Condition
    Young Sang Jo, Hyun Seop Lee
    Journal of the Korean Society for Precision Engineering.2019; 36(12): 1117.     CrossRef
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Development of 3D Modeling Technology of Human Vacancy for Bio-CAD
Hochan Kim, Yonghwan Bae, Kisu Kwon, Taewon Seo, Seokhee Lee
J. Korean Soc. Precis. Eng. 2009;26(12):138-145.
Published online December 1, 2009
Custom medical treatment is being widely adapted to lots of medical applications. A technology for 3D modeling is strongly required to fabricate medical implants for individual patient. Needs on true 3D CAD data of a patient is strongly required for tissue engineering and human body simulations. Medical imaging devices show human inner section and 3D volume rendering images of human organs. CT or MRI is one of the popular imaging devices for that use. However, those image data is not sufficient to use for medical fabrication or simulation. This paper mainly deals how to generate 3D geometry data from those medical images. A new image processing technology is introduced to reconstruct 3D geometry of a human body vacancy from the medical images. Then a surface geometry data is reconstructed by using Marching cube algorithm. Resulting CAD data is a custom 3D geometry data of human vacancy. This paper introduces a novel 3D reconstruction process and shows some typical examples with implemented software.
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