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Intelligent technology in grinding process driven by data: A review
Journal of Manufacturing Processes ( IF 6.2 ) Pub Date : 2020-09-16 , DOI: 10.1016/j.jmapro.2020.09.018
Lishu Lv , Zhaohui Deng , Tao Liu , Zhongyang Li , Wei Liu

Grinding is a key process in machining, which has direct impact on the accuracy, performance and service life of the finished workpiece. With the rapid development and popularization of computers and information technology, the intelligentization of grinding technology has become an important research topic. Especially with the explosive growth of industry data, grinding process data has become the core element in intelligent manufacturing. To understand the connotation, status quo and development trends of intelligent technology in the grinding process, this paper takes the relationship between grinding process data and intelligent manufacturing as perspective. A research structure of data-driven mode is built in the grinding process, followed by the basic concepts and characteristics of grinding data. Relevant researches that maybe beneficial to the proposed research structure are reviewed in five layers, which include data acquisition layer, data processing and fusion layer, data mining and analysis layer, data representation and evolution layer, and data service layer. Finally, the current data-driven mode and future trends in this field are summarized.



中文翻译:

数据驱动的磨削工艺智能技术综述

磨削是加工中的关键过程,它直接影响成品工件的精度,性能和使用寿命。随着计算机和信息技术的飞速发展和普及,磨削技术的智能化已成为重要的研究课题。尤其是随着行业数据的爆炸性增长,研磨过程数据已成为智能制造的核心要素。为了理解智能技术在磨削过程中的内涵,现状和发展趋势,本文以磨削过程数据与智能制造之间的关系为视角。在磨削过程中建立了数据驱动模式的研究结构,然后介绍了磨削数据的基本概念和特征。对可能有益于所提出的研究结构的相关研究从五个层面进行了概述,包括数据采集层,数据处理和融合层,数据挖掘和分析层,数据表示和演化层以及数据服务层。最后,总结了该领域的当前数据驱动模式和未来趋势。

更新日期:2020-09-16
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