인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
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
The current work examines journal bearings with axial geometrical configurations that are lubricated with nanofluids. Because of recent advancements in numerically controlled machine tools, accurate machining of complex shapes is now a realistic operation. A theoretical prediction of bearing characteristics for different complicated geometries with varying bearing length to shaft diameter ratios at varying eccentricity ratios is required prior to any experimental effort. The Reynolds like equation that governs the pressure distribution inside the bearing is provided. Four various bearing geometries with conical (wedge), concave, convex, and wavy surfaces are chosen to investigate the bearing characteristics while taking into account the impact of increasing nanoparticle concentrations and aggregate particle sizes. The modified Krieger-Dougherty viscosity model was used to investigate the influence of TiO<sub>2</sub> nanoparticle lubricant additives on the performance of the chosen journal bearings. The results show that the chosen shapes improve the bearing's performance over the plain cylindrical bearing. The concave design is also shown to be better than the others; however the findings show that an optimization method may be required to acquire the geometry that provides the optimum bearing characteristics.
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.