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

利用振动声和声发射波优化超级砂轮磨削作业的研究

• 批准号: 24760109
• 负责人: SAWA TAKEKAZU
• 金额: $ 2.5万
• 依托单位: Shibaura Institute of Technology (2013)Tokyo Denki University (2012)
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Young Scientists (B)
• 财政年份: 2012
• 资助国家: 日本
• 起止时间: 2012-04-01 至 2014-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-24760109/
• 关键词: 研削加工; 曲げ振動; 研削といし; 振動音; マイクロフォン; 自働化; ドレッシング; 国際情報交換

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.

针对磨削加工过程自动化的需要，对磨削状态的认知技术进行了一些研究。然而，这些研究并没有在生产线上使用，因为根据实验环境或磨削条件的不同，表示磨削状态质量的阈值水平不同。本研究的目的在于建立不受实验环境或磨削条件影响的自动化技术，通过观察振动声和AE波。结果表明，振动声可以替代磨削力的测量。同时也说明了振动声测量作为一种不受实验环境影响的自动化技术的重要性。

项目成果

研削といしの曲げ振動音を利用した研削作業の最適化に関する研究

利用砂轮弯曲振动声优化磨削作业的研究

• 发表时间: 2014
• 作者: 鹿島崚,澤武一