RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      SCOPUS

      Data Acquisition and Generative Design for a Smart Spinal Orthosis

      한글로보기

      https://www.riss.kr/link?id=O106443254

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      The design and development process of custom‐made medical devices is very complex and often requires the use of additive manufacturing to obtain a customer compliant product. One of the key stages, but also very time consuming in the development of ...

      The design and development process of custom‐made medical devices is very complex and often requires the use of additive manufacturing to obtain a customer compliant product. One of the key stages, but also very time consuming in the development of bespoke medical products, is the data acquisition of the patients’ specific anatomy. The current research paper presents a detailed process of upper body data acquisition using 3D scanning protocols, with the goal of designing a custom smart spinal orthosis using generative design and additive manufacturing technologies. The initial captured cloud points are subjected successively to a series of surface manipulation and mesh optimization operations to generate the final working 3D model of the upper body. Each stage of the 3D model is obtained using a specific software application, as follows: *.DICOM images are generated using a 3D scanner software; *STL files are obtained by transforming initial files using MeshMixer software; *.STEP files are optimized using Fusion 360. Shape validation is done by 3D printing of a real scale upper body anatomical prototype using material extrusion. Authors also proposed a generative design process for the development of a personalized vertebral body from the construction of the smart spinal orthosis. The generative study is initialized with the following data: connection type, stress scenarios, material type (metals – Ti, Al, Steel; composites – ABS, PET, HIPS), and manufacturing technology (additive, subtractive, injection molding). A set of 49 converged outcomes is generated after running the study and three are selected for further research.

      더보기

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼