인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Dimensional accuracy is a critical quality metric in manufacturing, particularly for medical devices subjected to sterilisation and disinfection. While additive manufacturing (AM), especially fused filament fabrication (FFF), facilitates the production of complex geometries, challenges such as void formation, surface deformation, and mechanical instability persist. This study evaluated the impact of sterilisation (autoclaving) and disinfection (ethanol) on the dimensional stability of 3D-printed carbon fibre-reinforced polymer (CFRP) parts. Two geometries - representing standard ASTM D3039 and complex non-standard designs - were printed using carbon fibre nylon-based composites with and without continuous carbon fibre (CCF) reinforcement. Dimensional accuracy and void fraction were assessed using micro-CT imaging and geometrical comparison analysis. While sterilisation (p = 0.247) and disinfection treatments (p > 0.05) had negligible overall effects on dimensional stability and void fraction, geometric design (p = 0.0036) and CCF inclusion (p = 0.0042) significantly influenced shape fidelity. The inclusion of CCF reinforcement enhanced resistance to deformation under external stressors, though its efficacy varied with design complexity. A significant interaction between geometry and CCF inclusion (p < 0.0001) demonstrated the dependency of void formation on design complexity and reinforcement. Additionally, maximum surface deviation was independently influenced by geometry (p = 0.0139) and CCF reinforcement (p = 1.1 × 10⁻⁴). This study highlights the strategic imperative of design optimisation and informed material selection to increase precision in additive manufacturing. By addressing the confluence of manufacturing constraints and stringent regulatory mandates, this research reinforces the viability of additive manufacturing for medical device fabrication, advocating for customised methodologies to harmonise functionality with compliance requirements.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
