Mechanical characterization and evaluation of delamination of polymer composite laminate

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Abstract

Drilling-induced delamination is an inter-ply failure phenomenon and has been recognized as the most common defect during drilling of carbon fiber reinforced polymer (CFRP) composites. In the present work, an attempt has been made to study the influence of process parameters (spindle speed, feed rate, point angle and drill diameter) on delamination in drilling of uni-directional carbon fiber reinforced polymer (UD CFRP) composite using high speed steel (HSS) and titanium nitride (TiN) coated solid carbide drills. Taguchi L27 orthogonal array is employed for investigating the effects of process parameters on delamination. The genetic algorithm optimized multi-layered perceptron neural network (GA-MLPNN) and response surface methodology (RSM) are used for predicting drilling-induced delamination. The experimentally determined mechanical properties of UD CFRP composite are validated by using finite element method (FEM). The investigation shows that the experimental and the FEM validated results of mechanical properties are in good agreement. The results indicate that drill diameter has a significant influence on delamination, followed by spindle speed and feed rate. It is evident from the study that the TiN coated solid carbide drills are the preferred choice than HSS drills in reducing the drilling-induced delamination.

Original languageEnglish
Pages (from-to)35757-35769
Number of pages13
JournalInternational Journal of Applied Engineering Research
Volume10
Issue number15
Publication statusPublished - 01-01-2015

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Delamination
Laminates
Drilling
Composite materials
Polymers
Carbon fibers
Titanium nitride
Carbides
Neural networks
Finite element method
Mechanical properties
Tool steel
Genetic algorithms
Defects
Steel

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

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title = "Mechanical characterization and evaluation of delamination of polymer composite laminate",
abstract = "Drilling-induced delamination is an inter-ply failure phenomenon and has been recognized as the most common defect during drilling of carbon fiber reinforced polymer (CFRP) composites. In the present work, an attempt has been made to study the influence of process parameters (spindle speed, feed rate, point angle and drill diameter) on delamination in drilling of uni-directional carbon fiber reinforced polymer (UD CFRP) composite using high speed steel (HSS) and titanium nitride (TiN) coated solid carbide drills. Taguchi L27 orthogonal array is employed for investigating the effects of process parameters on delamination. The genetic algorithm optimized multi-layered perceptron neural network (GA-MLPNN) and response surface methodology (RSM) are used for predicting drilling-induced delamination. The experimentally determined mechanical properties of UD CFRP composite are validated by using finite element method (FEM). The investigation shows that the experimental and the FEM validated results of mechanical properties are in good agreement. The results indicate that drill diameter has a significant influence on delamination, followed by spindle speed and feed rate. It is evident from the study that the TiN coated solid carbide drills are the preferred choice than HSS drills in reducing the drilling-induced delamination.",
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AU - Shetty, Divakara

AU - Vijay, G. S.

AU - Shetty, Raviraj

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N2 - Drilling-induced delamination is an inter-ply failure phenomenon and has been recognized as the most common defect during drilling of carbon fiber reinforced polymer (CFRP) composites. In the present work, an attempt has been made to study the influence of process parameters (spindle speed, feed rate, point angle and drill diameter) on delamination in drilling of uni-directional carbon fiber reinforced polymer (UD CFRP) composite using high speed steel (HSS) and titanium nitride (TiN) coated solid carbide drills. Taguchi L27 orthogonal array is employed for investigating the effects of process parameters on delamination. The genetic algorithm optimized multi-layered perceptron neural network (GA-MLPNN) and response surface methodology (RSM) are used for predicting drilling-induced delamination. The experimentally determined mechanical properties of UD CFRP composite are validated by using finite element method (FEM). The investigation shows that the experimental and the FEM validated results of mechanical properties are in good agreement. The results indicate that drill diameter has a significant influence on delamination, followed by spindle speed and feed rate. It is evident from the study that the TiN coated solid carbide drills are the preferred choice than HSS drills in reducing the drilling-induced delamination.

AB - Drilling-induced delamination is an inter-ply failure phenomenon and has been recognized as the most common defect during drilling of carbon fiber reinforced polymer (CFRP) composites. In the present work, an attempt has been made to study the influence of process parameters (spindle speed, feed rate, point angle and drill diameter) on delamination in drilling of uni-directional carbon fiber reinforced polymer (UD CFRP) composite using high speed steel (HSS) and titanium nitride (TiN) coated solid carbide drills. Taguchi L27 orthogonal array is employed for investigating the effects of process parameters on delamination. The genetic algorithm optimized multi-layered perceptron neural network (GA-MLPNN) and response surface methodology (RSM) are used for predicting drilling-induced delamination. The experimentally determined mechanical properties of UD CFRP composite are validated by using finite element method (FEM). The investigation shows that the experimental and the FEM validated results of mechanical properties are in good agreement. The results indicate that drill diameter has a significant influence on delamination, followed by spindle speed and feed rate. It is evident from the study that the TiN coated solid carbide drills are the preferred choice than HSS drills in reducing the drilling-induced delamination.

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