Optimization of machining parameters values during milling on carbon fiber reinforced plastic (CFRP) using RSM

被引:0
作者
Ramli, Siti Fatirah [1 ]
Khairussaleh, Nor Khairusshima Muhamad [1 ]
Mokhtar, Suhaily [1 ]
Dahnel, Aishah Najiah [1 ]
Raof, Natasha A. [1 ]
机构
[1] Int Islamic Univ Malaysia, Fac Mfg & Mat Engn, Kuala Lumpur, Malaysia
关键词
Optimization; Milling; CFRP; Tool Life; ANOVA; SURFACE-ROUGHNESS PREDICTION; TOOL WEAR;
D O I
暂无
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper presents the optimization of machining parameters, namely cutting speed, feed rate, and depth of cut during milling on CFRP. The tool life analysis was developed using Analysis of Variance (ANOVA) and guided by Box Behnken Design as the Design of Experiment for this research. The input variables are cutting speed from 50.24 m/min to 218.54 m/min, feed rate from 0.03 mm/tooth to 0.25 mm/tooth and depth of cut from 1.0 mm to 1.5 mm. Optimum machining parameters were obtained based on the value of longest tool life as well as the desirability value near to one. As for 0-degree fiber orientation, the optimum machining parameters needed are cutting speed 218.54 m/min, feed rate of 0.03 mm/tooth and 1.21 mm depth of cut. Meanwhile for 45-degree fiber orientation, 218.31 m/min cutting speed, 0.05 mm/tooth feed rate, and 1.0 mm of depth of cut were utilized. The optimum machining parameters for 90-degree fiber orientation is 214.44 m/min of cutting speed, 0.04 mm/tooth of feed rate, and depth of cut of 1.22 mm. It was found out from ANOVA Analysis that feed rate was the most significant factor that affected the tool life during milling on CFRP.
引用
收藏
页码:24 / 38
页数:15
相关论文
共 23 条
[1]   Optimization of machining techniques - A retrospective and literature review [J].
Aggarwal, A ;
Singh, H .
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 2005, 30 (6) :699-711
[2]  
[Anonymous], WHO COVID-19 dashboard
[3]   ON THE MACHINING OF FIBER-REINFORCED PLASTIC (FRP) COMPOSITE LAMINATES [J].
BHATNAGAR, N ;
RAMAKRISHNAN, N ;
NAIK, NK ;
KOMANDURI, R .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 1995, 35 (05) :701-716
[4]  
ChittaranjanDas V., 2016, International Journal of Hybrid Information Technology, V9, P393, DOI DOI 10.14257/IJHIT.2016.9.4.34
[5]  
Dasgupta S, 2016, IOP CONF SER-MAT SCI, V149, DOI [10.1088/1757-899X/149/1/012005, 10.1088/1757-899X/149/l/012005]
[6]   Influence of cutting parameters on surface roughness in turning glass-fibre-reinforced plastics using statistical analysis [J].
Davim, P ;
Mata, F .
INDUSTRIAL LUBRICATION AND TRIBOLOGY, 2004, 56 (05) :270-274
[7]   Drilling tool geometry evaluation for reinforced composite laminates [J].
Durao, Luis Miguel P. ;
Goncalves, Daniel J. S. ;
Tavares, Joao Manuel R. S. ;
de Albuquerque, Victor Hugo C. ;
Vieira, A. Aguiar ;
Marques, A. Torres .
COMPOSITE STRUCTURES, 2010, 92 (07) :1545-1550
[8]   Development of empirical models for surface roughness prediction in finish turning [J].
Wang X. ;
Feng C.X. .
The International Journal of Advanced Manufacturing Technology, 2002, 20 (5) :348-356
[9]   Modeling and tool wear in drilling of CFRP [J].
Iliescu, D. ;
Gehin, D. ;
Gutierrez, M. E. ;
Girot, F. .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2010, 50 (02) :204-213
[10]   Comparative analysis of surface roughness prediction using DOE and ANN techniques during endmilling of glass fibre reinforced polymer (GFRP) composites [J].
Jenarthanan, M. P. ;
Subramanian, A. Ajay ;
Jeyapaul, R. .
PIGMENT & RESIN TECHNOLOGY, 2016, 45 (02) :126-139