Volume 40 Issue 2
Feb.  2021
Turn off MathJax
Article Contents
GUO Li, GUO Juntao, LI Bo. Study on Joint Monitoring of Grinding Temperature and Force in Grinding of Engineering Ceramics via Acoustic Emission[J]. Mechanical Science and Technology for Aerospace Engineering, 2021, 40(2): 243-248. doi: 10.13433/j.cnki.1003-8728.20200035
Citation: GUO Li, GUO Juntao, LI Bo. Study on Joint Monitoring of Grinding Temperature and Force in Grinding of Engineering Ceramics via Acoustic Emission[J]. Mechanical Science and Technology for Aerospace Engineering, 2021, 40(2): 243-248. doi: 10.13433/j.cnki.1003-8728.20200035

Study on Joint Monitoring of Grinding Temperature and Force in Grinding of Engineering Ceramics via Acoustic Emission

doi: 10.13433/j.cnki.1003-8728.20200035
  • Received Date: 2019-05-22
  • Publish Date: 2021-02-02
  • Acoustic emission technique has the capability to provide efficient real-time knowledge and monitoring of the grinding process. Root mean square of grinding acoustic emission signal AERMS values are used to analyze the process characteristics. The acoustic emission measurement is employed for monitoring the temperature, force and studying the grindingmechanism of engineering ceramics. This paper explores the relations between the temperature, force, acoustic emission and surface roughness via the grinding of engineering ceramics. Some models for the relationship between the grinding acoustic emission signal of engineering ceramics partially stabilized zirconia and alumina and the grinding force, temperature and surface roughness areestablished. The acoustic emission monitoring in the grindingofengineering ceramics is perfected.It can be concluded that acoustic emission provides the clearest results and a common ground to predict the final surface quality and monitoring of process.
  • loading
  • [1]
    任敬心, 康仁科, 王西彬. 难加工材料磨削技术[M]. 北京: 电子工业出版社, 2011.

    REN J X, KANG R K, Wang X B. Grinding technology of difficult-to-machine materials[M]. Beijing: Publishing House of Electronics Industry, 2011 (in Chinese).
    [2]
    郭力, 郭君涛, 王艺, 等. 磨削烧伤声发射智能监测的研究进展[J]. 制造技术与机床, 2018 (3): 13-18.

    GUO L, GUO J T, WANG Y, et al. Research progress of intelligent detection of acoustic emission in grinding burn[J]. Manufacturing Technology & Machine Tool, 2018 (3): 13-17 (in Chinese).
    [3]
    KIM H Y, KIM S R, AHN J H, et al. Process monitoring of centerless grinding using acoustic emission[J]. Journal of Materials Processing Technology, 2001, 111(1-3): 273-278 doi: 10.1016/S0924-0136(01)00533-7
    [4]
    郭力, 邓喻, 霍可可. 氧化铝陶瓷磨削金刚石砂轮磨损的声发射监测[J]. 湖南大学学报, 2018, 45(4): 34-40

    GUO L, DENG Y, HUO K K. Acoustic emission monitoring of diamond wheel wear with grinding alumina ceramics grinding[J]. Journal of Hunan University, 2018, 45(4): 34-40 (in Chinese)
    [5]
    郭力, 杜厚斌, 邓喻. 硬质合金PA30高速深磨过程中声发射信号特征的变化研究[J]. 金刚石与磨料磨具工程, 2017, 37(3): 35-39

    GUO L, DU H B, DENG Y. Characteristic changes of acoustic emission (AE) signal during high speed deep grinding of cemented carbide PA30[J]. Diamond & Abrasives Engineering, 2017, 37(3): 35-39 (in Chinese)
    [6]
    LIU Q, CHEN X, GINDY N. Investigation of acoustic emission signals under a simulative environment of grinding burn[J]. International Journal of Machine Tools and Manufacture, 2006, 46(3-4): 284-292 doi: 10.1016/j.ijmachtools.2005.05.017
    [7]
    CHEN X, ÖPÖZ T T. Effect of different parameters on grinding efficiency and its monitoring by acoustic emission[J]. Production & Manufacturing Research, 2016, 4(1): 190-208
    [8]
    GRIFFIN J M, CHEN X. Multiple classification of the acoustic emission signals extracted during burn and chatter anomalies using genetic programming[J]. The International Journal of Advanced Manufacturing Technology, 2009, 45(11): 1152-1168
    [9]
    YANG Z S, YU Z H, XIE C, et al. Application of Hilbert-Huang Transform to acoustic emission signal for burn feature extraction in surface grinding process[J]. Measurement, 2014, 47: 14-21 doi: 10.1016/j.measurement.2013.08.036
    [10]
    DIAS E A, PEREIRA F B, FILHO S L M R, et al. Monitoring of through-feed centreless grinding processes with acoustic emission signals[J]. Measurement, 2016, 94: 71-79 doi: 10.1016/j.measurement.2016.07.075
    [11]
    YIN G X, NISAL T, MARINESCU I D, et al. Monitoring the parameter effects of surface grinding process using temperature, acoustic emission and force measurement[C]//Proceedings of the ASME 2014 International Manufacturing Science and Engineering Conference Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference, MSEC2014-3969, June 9-13, 2014. Detroit, Michigan, USA: ASME.
    [12]
    LIAO T W. Feature extraction and selection from acoustic emission signals with an application in grinding wheel condition monitoring[J]. Engineering Applications of Artificial Intelligence, 2010, 23(1): 74-84 doi: 10.1016/j.engappai.2009.09.004
    [13]
    郭力, 尹韶辉, 李波, 等. 模拟磨削烧伤条件下的声发射信号特征[J]. 中国机械工程, 2009, 20(4): 413-416 doi: 10.3321/j.issn:1004-132X.2009.04.009

    GUO L, YIN S H, LI B, et al. Feature investigation of acoustic emission signals under a simulative environment of grinding burn[J]. China Mechanical Engineering, 2009, 20(4): 413-416 (in Chinese) doi: 10.3321/j.issn:1004-132X.2009.04.009
    [14]
    郭力, 邓喻. 采用遗传算法优化神经网络的铸铁表面粗糙度声发射预测[J]. 机械科学与技术, 2018, 37(10): 1512-1516

    GUO L, DENG Y. Acoustic emission monitor grinding surface roughness of cast iron via BP neural networks and genetic algorithm[J]. Mechanical Science and Technology for Aerospace Engineering, 2018, 37(10): 1512-1516 (in Chinese)
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(7)  / Tables(6)

    Article views (345) PDF downloads(41) Cited by()
    Proportional views

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return