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

doi:10.3901/JME.2020.02.027

Abstract

Abstract: 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.

Key words: carbon fiber reinforced plastics, variable parameter, tool wear, roughness, support vector regression, simulated annealing

CLC Number:

TP306

AN Hua, WANG Zhe, WANG Guofeng, SONG Qingyue, LIU Feng, ZHONG Caichuan. Research on On-line Monitoring of Surface Roughness in Composite Drilling and Adaptive Optimization of Parameters[J]. Journal of Mechanical Engineering, 2020, 56(2): 27-34,42.

References

[1] 张琦,高强,赵升吨. 碳纤维复合材料板热冲压成形试验研究[J]. 机械工程学报,2012,48(18):72-77. ZHANG Qi,GAO Qiang,ZHAO Shengdun. Thermostamping experimental study on carbon fiber composite sheet[J]. Journal of Mechanical Engineering,2012,48(18):72-77.
[2] 南成根,吴丹,马信国,等. 碳纤维复合材料/钛合金叠层钻孔质量研究[J]. 机械工程学报,2016,52(11):177-185. NAN Chenggen,WU Dan,MA Xinguo,et al. Study on the drilling quality of carbon fiber reinforced plastic and titanium stacks[J]. Journal of Mechanical Engineering,2016,52(11):177-185.
[3] 沈军,谢怀勤. 先进复合材料在航空航天领域的研发与应用[J]. 材料科学与工艺,2008,16(5):737-740. SHEN Jun,XIE Huaiqin. Development of research and application of the advanced composite[J]. Materials Science and Technology,2008,16(5):737-740.
[4] 卜泳,许国康,肖庆东. 飞机结构件的自动化精密制孔技术[J]. 航空制造技术,2009(24):61-64. BU Yong,XU Guokang,XIAO Qingdong. Automatic precision drilling technology of aircraft structural part[J]. Aeronautical Manufacturing Technology,2009(24):61-64.
[5] 袁红璇. 飞机结构件连接孔制造技术[J]. 航空制造技术,2007(1):84-87. YUAN Hongxuan. Manufacturing technology of connecting hole in aircraft structures[J]. Aeronautical Manufacturing Technology,2007(1):84-87.
[6] 梁艳芳,王春民,刘小建. 钻削参数对碳纤维复合材料孔壁表面粗糙度影响的研究[J]. 高科技纤维与应用,2013,38(1):40-42. LIANG Yanfang,WANG Chunmin,LIU Xiaojian. Research of drilling parameters influence on hole surface quality of carbon fiber composite materials[J]. Hi-tech Fiber & Application,2013,38(1):40-42.
[7] LATHA B,SENTHILKUMAR V S. Modeling and analysis of surface roughness parameters in drilling GFRP composites using fuzzy logic[J]. Advanced Manufacturing Processes,2010,25(8):817-827.
[8] 孙鑫. 航空材料自动化精密制孔工艺研究[D]. 南京:南京航空航天大学,2014. SUN Xin. Research on automatic precision drilling process of aeronautic material[D]. Nanjing:Nanjing University of Aeronautics and Astronautics,2014
[9] VRABEL M,MANKOVA I,BENO J,et al. Surface roughness prediction using artificial neural networks when drilling Udimet 720[J]. Procedia Engineering,2012,48(1):693-700.
[10] BREZOCNIK M,KOVACIC M,FICKO M. Prediction of surface roughness with genetic programming[J]. Journal of Materials Processing Tech,2004,157-158(12):28-36.
[11] CHEN J C,SAVAGE M. A fuzzy-net-based multilevel in-process surface roughness recognition system in milling operations[J]. International Journal of Advanced Manufacturing Technology,2001,17(9):670-676.
[12] 叶鹰,李红卫,龚志强,等. 碳纤维复合材料导弹舱段高效制孔方法研究[J]. 航天制造技术,2014(6):37-40. YE Ying,LI Hongwei,GONG Zhiqiang,et al. Carbon fiber composite materials missile compartment efficiently holing method research[J]. Aerospace Manufacturing Technology,2014(6):37-40.
[13] 郑伟. 几种复合材料制孔的若干试验研究[D]. 大连:大连理工大学,2007. ZHENG Wei. Experimental study on drilling several composites[D]. Dalian:Dalian University of Technology,2007.
[14] VAPNIK V. The nature of statistical learning theory[M] New York:Springer,2000.
[15] 陈伟,李茜,汤伟. 基于结构风险最小化原则的径向基函数网络[J]. 化工自动化及仪表,2009,36(3):34-37. CHEN Wei,LI Qian,TANG Wei. Radial basis function networks based on structural risk minimization principle[J]. Control and Instruments In Chemical Industry,2009,36(3):34-37.