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논문 기본 정보

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(창원대학교) (창원대학교) (창원대학교) (창원대학교) (창원대학교)
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한국기계가공학회 한국기계가공학회지 한국기계가공학회지 제22권 제12호
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    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.

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