Multiple sensor monitoring in drilling of CFRP/CFRP stacks for cognitive tool wear prediction and product quality assessment

被引：30
作者：
Caggiano, Alessandra [1 ,2 ]
Centobelli, Piera [1 ,3 ]
Nele, Luigi [3 ]
Teti, Roberto [1 ,3 ]
机构：
[1] Fraunhofer Joint Lab Excellence Adv Prod Technol, Naples, Italy
[2] Univ Naples Federico II, Dept Ind Engn, Ple Tecchio 80, I-80125 Naples, Italy
[3] Univ Naples Federico II, Dept Chem Mat & Ind Prod Engn, Ple Tecchio 80, I-80125 Naples, Italy
来源：
10TH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING - CIRP ICME '16 | 2017年 / 62卷
关键词：
Drilling; Composite material; CFRP; Sensor monitoring; COMPOSITE-MATERIALS; DELAMINATION; CFRP; PERFORMANCE;
D O I：
10.1016/j.procir.2017.03.047
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Drilling of stacks made of two overlaid carbon fiber reinforced plastic (CFRP) composite laminates for aeronautical assembly applications is investigated through multiple sensor monitoring and sensor fusion technology. An experimental testing campaign under different drilling conditions is carried out using a monitoring system endowed with thrust force and torque sensors. Advanced signal processing and analysis in the frequency domain are employed for feature extraction and selection to construct sensor fusion feature pattern vectors to be fed to artificial neural network based cognitive paradigms for the identification of correlations with tool wear development. (C) 2017 Published by Elsevier B.V.
引用
收藏
页码：3 / 8
页数：6
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