BK7光学玻璃金刚石划刻声发射信号的特征提取

毕果; 许涛林; 彭云峰; 郭昕乾

doi:10.3788/OPE.20172504.0934

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BK7光学玻璃金刚石划刻声发射信号的特征提取

微纳技术与精密机械 | 更新时间：2020-07-07

- BK7光学玻璃金刚石划刻声发射信号的特征提取
- Feature extraction of acoustic emission signal for diamond scratching of optical glass BK7
- 光学精密工程 2017年25卷第4期页码：934-942
- 作者机构：
  
  厦门大学航空航天学院, 福建厦门 361005
- 作者简介：
  
  毕果 (1978-), 女, 河南南阳人, 工学博士, 副教授, 2000年于郑州工业大学获学士学位, 2003年于郑州大学获硕士学位, 2007年于上海交通大学获博士学位, 主要从事精密加工过程监测等方面的研究。Email:guobi@xmu.edu.cn BI Guo, E-mail: guobi@xwu.edu.cn
  [ "彭云峰 (1977-), 男, 江西吉安人, 教授, 2006年于哈尔滨工业大学获博士学位, 主要从事精密工程方面的研究。E-mail:pengyf@xmu.edu.cn" ]
- 基金信息：
  
  国家自然科学基金资助项目(No.51675453);福建省自然科学基金资助项目(No.2016J01260)
- DOI：10.3788/OPE.20172504.0934
  中图分类号： TN305.2;TQ171.734
- 收稿日期：2016-07-22，
  
  录用日期：2016-10-18，
  
  纸质出版日期：2017-04-25
- 稿件说明：
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毕果, 许涛林, 彭云峰, 等. BK7光学玻璃金刚石划刻声发射信号的特征提取[J]. 光学精密工程, 2017,25(4):934-942.

Guo BI, Tao-lin XU, Yun-feng Peng, et al. Feature extraction of acoustic emission signal for diamond scratching of optical glass BK7[J]. Optics and precision engineering, 2017, 25(4): 934-942.
毕果, 许涛林, 彭云峰, 等. BK7光学玻璃金刚石划刻声发射信号的特征提取[J]. 光学精密工程, 2017,25(4):934-942. DOI： 10.3788/OPE.20172504.0934.

Guo BI, Tao-lin XU, Yun-feng Peng, et al. Feature extraction of acoustic emission signal for diamond scratching of optical glass BK7[J]. Optics and precision engineering, 2017, 25(4): 934-942. DOI： 10.3788/OPE.20172504.0934.

摘要

以金刚石压头划刻BK7光学玻璃为研究对象，分析了脆性材料脆性去除过程中的声发射机制，研究了声发射信号的特征提取技术。多种切深实验显示：BK7光学玻璃发生脆性去除的特征主要集中在[100，200]kHz、[300，400]kHz两个频段，对应不同的声发射机制，其中[100，200]kHz频带的滤波信号呈现明显的、时间间歇的突发式声发射现象，与脆性材料裂纹的生成与扩展密切相关。基于上述实验结果，提出了以突发式声发射事件为单位的特征监测方法。针对该带通滤波信号的均方根值（RMS），研究了基于凸优化理论的声发射事件识别算法，得到了脆性材料裂纹扩展的时刻及能量信息。得到的结果表明：以声发射事件为单位的特征监测具有明确的物理意义，能够更加客观地表征脆性材料的去除过程。

Abstract

By focusing on the diamond scratching of BK7 optical glass

the Acoustic Emission (AE) mechanism in the brittle removal of optical brittle materials was analyzed and a feature extraction technique of AE signals used in processing and monitoring of optical brittle materials was studied. Various cutting depth test results show that features of brittle removal for optical glass BK7 mainly focus on two frequency bands that are[100

200] kHz and[300

400] kHz

and they correspond to different AE mechanisms. In which

filtered signal of frequency band[100

200] kHz presents obvious burst-type AE phenomenon with a time interval

which is closely related to the production and extension of cracks for optical brittle materials. On the basis of the results mentioned above

a monitoring method that uses burst-type AE events as unit was proposed. Aimed at RMS (Root Mean Square) signals of the band-pass filtering

a recognition algorithm of AE events based on convex optimization theory was studied to get the time and energy information of crack growth for optical brittle materials. It concludes that the feature monitoring method that uses AE events as unit has specific physical meanings and represents removal process of optical brittle materials more objectively.

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