전문가 듀플렉스 밀링 조건 설정의 비절삭음량 최소화 모델링

Abstract

In this study, a field expert with 20 years of experience used the auditory feedback from a milling process to optimize the conditions for a 20 mm diameter ball end mill from Company T. and a theoretical researcher attempted to fine a physical model of his method. By adjusting the transfer speed, processing depth, and rotation speed based on the milling sound, stable and productive conditions were achieved. The study defined the ratio between sound volume and material removal rate as specific cutting sound and found that setting processing conditions using field hearing aligned with the specific cutting sound volume minimization. Further, the insert’s plank wears were compared using the conditions set by the tool manufacturer, field expert, and specific cutting sound volume minimization. The expert's settings matched the specific cutting sound volume minimization conditions, resulting in approximately three times higher productivity than that with the manufacturer's conditions. However, the insert cracked.