主催: 一般社団法人 日本機械学会
会議名: 生産システム部門研究発表講演会2021
開催日: 2021/03/08 - 2021/03/09
Milling tools or milling cutters are made by grinding. In the process, 5 or 6-axis grinding machine is used. However, it is difficult to calculate the desired position and trajectory of the grinding wheel, so the parameters are determined by trial and error or based on the past experience of the operator. This fact is inconvenient and inefficient, especially when in a situation of making a new shaped tool. For a more flexible tool design, a more convenient and efficient way to get the operating parameters is needed. In this paper, the groove of the 2-flute end mill is considered as the target tool and it tries to calculate the machining parameters of the grinding wheel and its shape. The basic principle is groove prediction and evaluation with goals and optimization to minimize the deviation. Groove shape is predicted rapidly by using graphic methods and GPU, and it contributes to speeding up the optimization process. By evaluating the core radius, rake angle, and whole groove shape, wheel position and wheel shape are optimized. The results of the experiment, core radius, and wheel position are optimized enough, therefore core angle and rake angle can be sufficiently close to the target value. The whole groove shape still has a slight difference but it is sufficient to be used in current production sites.