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Influence of Friction Coefficient and Failure Model in 3D FEA Simulation of Drilling of Glass Fiber Reinforced Polymer Composites

  • C. PrakashEmail author
  • K. S. Vijay Sekar
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

The applications of the glass fiber-reinforced polymers (GFRP) composites are increasing every day because of its superior properties when compared with conventional materials. The modern industries in the field of aviation, aerospace, construction, marine and automobiles are using the composites very effectively to reduce the weight and to increase the performance of the vehicle. While machining the components, drilling is an important machining process, which plays an important role in assembly operation. The selection of suitable machining parameter setting and adequate knowledge on chip formation and material removal is very much essential in drilling the GFRP laminate. In this paper, using ABAQUS/Explicit 3D finite element model (FEM) has been developed to simulate and to understand the drilling operation of the laminate. The selected friction coefficient and failure criteria play a significant role in the quality and accuracy of the FE model. Hence, it is essential to investigate the influence and effects of friction coefficient and failure model in a 3D FE drilling simulation. Friction coefficients and failure criteria were applied to the FE model in a wider range, and analysis was carried out. The thrust forces obtained from FE results were compared with the experimental results to evaluate the influence of the above-mentioned FE model parameters.

Keywords

GFRP Drilling experiment Thrust force Failure criteria Friction coefficient 3D FE model 

Notes

Acknowledgements

The authors are indebted to AICTE (All India Council for Technical Education) for the financial support in this work. The authors thank the Department of Mechanical Engineering, SSN College of Engineering for providing the Laboratory and Testing Facility.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Anna UniversityChennaiIndia
  2. 2.SSN College of EngineeringKalavakkam, Kancheepuram DistrictIndia

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