인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
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
Cutting tools are mounted on machine tools for use, and the fracture or wear of such tools that occurs during cutting processing directly affects the precision or completeness of the product. In milling processes, end mills experience more frequent fractures and expedited wear than tools employed in turning and drilling. This heightened susceptibility to damage is due to the cyclical engagement and disengagement of the cutting edge with the workpiece. Consequently, the advancement of technologies to precisely detect tool defects such as fracture and wear is crucial for enabling the implementation of effective response strategies. In this study, an end mill tool was used for cutting stainless steel. The cutting force data generated were used to confirm that the magnitude and cycle of the cutting force changed depending on the defect of the tool. Furthermore, this study introduces a diagnostic method for tool defects based on a time and frequency domain analysis of cutting force. This method utilizes variations in magnitude and frequency characteristics that correlate with the tool"s condition. The process was verified through a series of tests using a TaeguTec end mill, which substantiated the tool"s operational normalcy.
본문·목차
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.