Application of grey fuzzy logic for the optimization of drilling parameters for CFRP composites with multiple performance characteristics

被引：146
|
作者：
Krishnamoorthy, A. [1 ]
Boopathy, S. Rajendra [2 ]
Palanikumar, K. [3 ]
Davim, J. Paulo [4 ]
机构：
[1] Sathyabama Univ, Dept Mech & Prod Engn, Madras 600119, Tamil Nadu, India
[2] Anna Univ, Dept Mech Engn, Madras 600025, Tamil Nadu, India
[3] Sri Sairam Inst Technol, Dept Mech Engn, Madras 600044, Tamil Nadu, India
[4] Univ Aveiro, Dept Mech Engn, P-3810193 Aveiro, Portugal
来源：
MEASUREMENT | 2012年 / 45卷 / 05期
关键词：
CFRP composites; Drilling; Grey relational analysis; Grey fuzzy; Optimization; ANOVA; FIBER-REINFORCED PLASTICS; MACHINING PARAMETERS; RELATIONAL ANALYSIS; CUTTING PARAMETERS; MULTIOBJECTIVE OPTIMIZATION; MANUFACTURING PROCESS; SURFACE-ROUGHNESS; TAGUCHI METHOD; DELAMINATION; DESIGN;
D O I：
10.1016/j.measurement.2012.01.008
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Carbon Fibre Reinforced Plastic (CFRP) composite materials have potential applications in various domains. In machining, drilling is essentially required to join different structures. But CFRP drilling poses many problems that decrease the quality of holes. In this paper, Taguchi's L-27 orthogonal array is used to perform drilling of CFRP composite plates. To improve the quality of the holes drilled, the optimal combination of drilling parameters is chosen using grey relational analysis. Grey fuzzy optimization of drilling parameters is based on five different output performance characteristics, namely, thrust force, torque, entry delamination, exit delamination and eccentricity of the holes. Analysis of variance (ANOVA) is used to find the percentage contribution of the drilling parameters and found that feed rate is the most influential factor in drilling of CFRP composites. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1286 / 1296
页数：11
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