The Review of New Scientific Developments in Drilling in Wood-Based Panels with Particular Emphasis on the Latest Research Trends in Drill Condition Monitoring

被引:12
作者
Gorski, Jaroslaw [1 ]
机构
[1] Warsaw Univ Life Sci WULS, Inst Wood Sci & Furniture, 166 Nowoursynowska St, PL-02787 Warsaw, Poland
关键词
tool condition monitoring; drilling; artificial intelligence; VIBROACOUSTIC SIGNALS; TOOL WEAR; MACHINABILITY; DENSITY; PREDICTION; ACCURACY; SURFACE; BOARDS;
D O I
10.3390/f13020242
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Drilling is still one of the basic cutting processes that are of particular interest to wood science and technology professionals. As a result, considerable (and very diverse thematically) research has been recently carried out on drilling. The article focuses on the new and quite spectacular approach to drill condition monitoring in wood-based panels machining. One of the most innovative elements in the analyzed research trend is the adoption of the new general methodological assumptions that allow one to define the drill condition monitoring problem as a standard three-class classification. The general effectiveness of the tested monitoring systems (accuracy of classification ACC [%]), ranged between 67% and 82%. The critical classification error (CCE [%]) ranged between 0% and 1.6%. These results seem very promising, yet are still not good enough to develop a commercial monitoring system. A more useful form of obtaining diagnostic data and more effective classification strategies (algorithms) are likely to be required.
引用
收藏
页数:11
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