Support-generation Method Using the Morphological Image Processing for DLP 3D Printer

DLP 3D 프린터를 위한 형태학적 영상처리를 이용한 서포터 생성 방법

  • Received : 2017.08.31
  • Accepted : 2017.10.14
  • Published : 2017.12.31

Abstract

This paper proposes a method of support-generation using morphological image processing instead of geometric calculations. The geometric computational cost is dependent on the shape, but our method is independent on the shape. For obtaining the external support area for extrusion shape, we represents morphological operations between two sliced layer images and shows results of each operation stages. Internal support area is evaluated from erosion and opening operations with the sliced-layer image. In these support areas, the supporter image is generated using the designed support structures. Also, we made a DLP printer and the STL model included supporter-structure is printed by the DLP printer. We confirmed the necessity of support-generation method with the support structures individually dependent on materials by looking at the printed results.

본 논문은 서포터 생성 기법으로 형태학적 기하학 연산을 대신하여 층 단면 영상에 형태학적 영상 처리를 적용함으로 서포터를 생성하는 방법을 제안하였다. 기하학적 연산 비용은 일반적으로 형태에 의존적이지만 본 방법은 영상 내의 형태에 무관하게 적용된다. 돌출부에 대한 외부 서포터 영역을 얻는 방법으로 2개의 층 단면 영상에 대한 형태학적 영상 처리 방법 및 처리 과정의 예를 보였다. 내부 서포터 영역에 대하여 하나의 층 단면으로부터 침식과 열림을 통해 얻는 과정을 나타내었다. 그리고 이러한 서포터 영역을 얻고 서포터 구조를 통한 서포터를 생성하였다. 이어서 제작한 DLP 프린터에 서포터 구조를 가진 조형물을 제작하였다. 또, 서포터 형태에 따라 조형되는 소재의 특성이 조형에 주는 변화를 통해 소재에 따른 개별적인 서포터 구조를 통한 서포터 생성 방법의 필요성을 확인하였다.

Keywords

Acknowledgement

Supported by : 금오공과대학교

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