AEと型寿命影響因子との関係性の評価

―AEセンサを用いた鍛造金型の寿命予測 第1報―

抄録

In-process measurements using various sensors, including acoustic emission (AE) sensors and force sensors, in a cold forging process of bevel gears was performed in this study. Furthermore, metal flow in the forging process calculated by a simulation and the simulated results are fused with the results obtained from various sensors in a cold forging die set to evaluate the possible factors influencing the die life. The relationship between AE output and the influential factors is evaluated. As a result, it is found that there is a significant correlation between AE data and factors such as the change of the friction condition and the initiation and propagation of fatigue cracks. This result indicates that AE data can be used for evaluating the condition of dies during forging and have the potential to be a predictive indicator of die life.