Research on On-line Monitoring of Surface Roughness in Composite Drilling and Adaptive Optimization of Parameters

被引：2
作者：
An H. [1 ]
Wang Z. [1 ]
Wang G. [1 ]
Song Q. [1 ]
Liu F. [2 ]
Zhong C. [1 ]
机构：
[1] School of Mechanical Engineering, Tianjin University, Tianjin
[2] Tianjin JinAn Heavy Equipment Co,.Ltd., Tianjin
来源：
Wang, Guofeng (gfwangmail@tju.edu.cn) | 1600年 / Chinese Mechanical Engineering Society卷 / 56期
关键词：
Carbon fiber reinforced plastics; Roughness; Simulated annealing; Support vector regression; Tool wear; Variable parameter;
D O I：
10.3901/JME.2020.02.027
中图分类号：
学科分类号：
摘要：
A new method for on-line monitoring of surface roughness and adaptive optimization of processing parameters is proposed to overcome the drawback that the current drilling process of carbon fiber reinforced plastics (CFRP) can't obtain the uniformity of machining quality and efficiency, as well as the drilling parameters obtained by offline optimization don't consider the influence of uncertain factors such as tool wear. A new set of dimensionless features is used to achieve variable parameter tool wear monitoring, and then the SVR-based online monitoring model of roughness is established by the feature vector which is formed by tool wear state value, feed rate and spindle rate. When the hole wall roughness is unqualified, the simulated annealing algorithm is used to optimize the drilling parameters under the present tool wear condition. The drilling experiment with the variable cutting parameters is used to verity the effectiveness of the proposed method in the end. The results show that the proposed method is able to not only realize the online monitoring of roughness effectively and optimize the cutting parameters adaptively, but also solve the problem of compromising the quality and efficiency in drilling process of CFRP. © 2020 Journal of Mechanical Engineering.
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页码：27 / 34and42
页数：3415
相关论文
共 15 条
  • [1] Zhang Q., Gao Q., Zhao S., Thermostamping experimental study on carbon fiber composite sheet, Journal of Mechanical Engineering, 48, 18, pp. 72-77, (2012)
  • [2] Nan C., Wu D., Ma X., Et al., Study on the drilling quality of carbon fiber reinforced plastic and titanium stacks, Journal of Mechanical Engineering, 52, 11, pp. 177-185, (2016)
  • [3] Shen J., Xie H., Development of research and application of the advanced composite, Materials Science and Technology, 16, 5, pp. 737-740, (2008)
  • [4] Bu Y., Xu G., Xiao Q., Automatic precision drilling technology of aircraft structural part, Aeronautical Manufacturing Technology, 24, pp. 61-64, (2009)
  • [5] Yuan H., Manufacturing technology of connecting hole in aircraft structures, Aeronautical Manufacturing Technology, 1, pp. 84-87, (2007)
  • [6] Liang Y., Wang C., Liu X., Research of drilling parameters influence on hole surface quality of carbon fiber composite materials, Hi-Tech Fiber & Application, 38, 1, pp. 40-42, (2013)
  • [7] Latha B., Senthilkumar V.S., Modeling and analysis of surface roughness parameters in drilling GFRP composites using fuzzy logic, Advanced Manufacturing Processes, 25, 8, pp. 817-827, (2010)
  • [8] Sun X., Research on automatic precision drilling process of aeronautic material, (2014)
  • [9] Vrabel M., Mankova I., Beno J., Et al., Surface roughness prediction using artificial neural networks when drilling Udimet 720, Procedia Engineering, 48, 1, pp. 693-700, (2012)
  • [10] Brezocnik M., Kovacic M., Ficko M., Prediction of surface roughness with genetic programming, Journal of Materials Processing Tech, 157-158, 12, pp. 28-36, (2004)
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