A Study on the Optimization of Grinding Operation with Super Abrasive Wheel using Vibration Sound and AE Wave

针对磨削加工自动化，对磨削状态的认知技术进行了一些研究。然而，这些研究并没有应用到生产线上，因为根据实验环境或磨削条件，表示磨削状态质量的阈值水平不同。本研究旨在通过对振动声和声发射波的观测，建立不受实验环境和磨削条件影响的自动化加工技术。结果表明，振动声可以实现磨削力的测量替代。实验结果表明，振动声测量作为一种不受实验环境影响的自动化技术具有重要意义。

There are some studies on the cognitive technique of the grinding state aiming at automation of grinding processing. However, these researches are not used in production line, since the threshold level which show the quality of the grinding states according to the experiment environment or the grinding conditions differs. This study aims at establishment of the automation technique which is not influenced by the experiment environment or the grinding conditions by observing the vibration sound and AE wave. In the result, it conformed that the vibration sound can carry out measurement substitution of the grinding force. And, it was shown clearly that it is significant to measure the vibration sound as automation technique which is not influenced by experiment environment.