朱欢欢,迟玉伦,闻章,张梦梦.断续磨削表面烧伤机理与在线监测方法研究[J].表面技术,2021,50(9):379-389.
ZHU Huan-huan,CHI Yu-lun,WEN Zhang,ZHANG Meng-meng.Research on Burn Mechanism of Intermittent Grinding Surface and Online Monitoring Method[J].Surface Technology,2021,50(9):379-389
断续磨削表面烧伤机理与在线监测方法研究
Research on Burn Mechanism of Intermittent Grinding Surface and Online Monitoring Method
投稿时间:2020-12-14  修订日期:2021-02-26
DOI:10.16490/j.cnki.issn.1001-3660.2021.09.040
中文关键词:  断续磨削  镜像热源法  烧伤机理  声发射信号  在线监测
英文关键词:intermittent grinding  image heat source method  grinding burn mechanism  acoustic emission signal  online monitoring
基金项目:
作者单位
朱欢欢 上海工程技术大学高等职业技术学院,上海 200437 
迟玉伦 上海理工大学,上海 200093 
闻章 上海理工大学,上海 200093 
张梦梦 上海工程技术大学高等职业技术学院,上海 200437 
AuthorInstitution
ZHU Huan-huan Advanced Vocational Technology of Shanghai University of Engineering Science, Shanghai 200437, China 
CHI Yu-lun University of Shanghai for Science and Technology, Shanghai 200093, China 
WEN Zhang University of Shanghai for Science and Technology, Shanghai 200093, China 
ZHANG Meng-meng Advanced Vocational Technology of Shanghai University of Engineering Science, Shanghai 200437, China 
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中文摘要:
      目的 研究断续磨削烧伤机理和声发射在线监测方法,避免产品磨削加工烧伤现象。方法 基于平面磨削温度场理论和镜像热源方法,建立一种断续磨削工件边缘的温度场模型,基于该模型可对断续磨削烧伤机理进行研究。为验证上述模型的有效性,通过正交实验设计不同断续磨削工况实验,利用红外热成像仪和声发射信号对断续磨削区温度进行在线监测,使用酸洗法和巴克豪森噪声检测仪对磨削后工件表面进行烧伤检测验证,通过对声发射信号的小波包能量求解,建立其与磨削区温度之间的关系。结果 该模型可有效反映断续磨削时工件边缘处磨削区温度场分布情况。计算结果表明,断续磨削工件断口边缘比其他位置磨削区温度更高,且更容易引起烧伤。实验表明,声发射信号的小波包变换总能量与磨削区呈一定相关性,基于声发射信号可对断续磨削烧伤实施在线监测。结论 实验结果证明了该模型对断续磨削烧伤机理分析的有效性,以及利用声发射信号对断续磨削烧伤在线监测的可行性。最后针对某一转向螺母产品实际断续磨削加工烧伤进行在线监测应用,实践结果表明,该方法比传统酸洗烧伤检测更加高效环保,对实现磨削加工烧伤检测自动化和智能化具有重要意义。
英文摘要:
      Study the mechanism of intermittent grinding burn and the on-line monitoring method of acoustic emission to avoid the phenomenon of product grinding burn. Based on the surface grinding temperature field theory and the mirror heat source method, a temperature field model of the intermittent grinding workpiece edge is established. Based on this model, the intermittent grinding burn mechanism can be studied. In order to verify the effectiveness of the above model, the orthogonal Experiments were designed for different intermittent grinding conditions. Infrared thermal imaging cameras and acoustic emission signals were used to monitor the temperature of the intermittent grinding area on-line, and the pickling method and Barkhausen noise detector were used to burn the surface of the workpiece after grinding. Inspection and verification, by solving the wavelet packet energy of the acoustic emission signal to establish the relationship with the temperature of the grinding zone. This model can effectively reflect the temperature field distribution of the grinding zone at the edge of the workpiece during intermittent grinding. The calculation results show that the edge of the fractured grinding workpiece has a higher temperature and is more likely to cause burns than the grinding zone at other positions; the experiment shows that acoustic emission The total energy of the wavelet packet transform of the signal has a certain correlation with the grinding area. Based on the acoustic emission signal, the intermittent grinding burn can be monitored online. The experimental results prove the effectiveness of the model for analyzing the intermittent grinding burn mechanism and the feasibility of using acoustic emission signals to monitor the intermittent grinding burn online; finally, the actual intermittent grinding burn burn of a certain steering nut product is carried out online Monitoring application, practical results show that this method is more efficient and environmentally friendly than traditional pickling burn detection, and it is of great significance to realize the automation and intelligence of grinding processing burn detection.
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