Predictive Model for Circularity Error of Drilling on GFRP Composite Laminates Using Fuzzy Logic

Abstract:

Glass Fiber Reinforced Plastics composites have an increased application in recent days, due to its enhanced structural properties, Mechanical and thermal properties. Drilling of holes in GFRP becomes almost unavoidable in fabrication. The heterogeneous nature of this kind of materials makes complications during machining operation. However, drilling is a common machining practice for assembly of components. The quality of holes produced in the GFRP material is severely affected by surface roughness, Circularity, Delamination, etc. The objective of the study is to apply the full factorial design and Fuzzy logic model to achieve an improved hole quality considering the minimum Circularity error through proper selection of drilling parameters. The experimental investigation values are compared with predicted fuzzified values and found that they are in good correlation with each other.

• Periodical: Applied Mechanics and Materials (Volumes 446-447)
• Pages: 316-320
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.446-447.316
• Online since: November 2013
• Authors: Sureshkumar Manickam Shanmugasundaram, Lakshmanan Damodhiran, Vignesh Billan, Dhinakaran Gu
• Keywords: Circularity Error, Drilling Error, Fuzzy Logic, Glass Fiber Reinforced Polymer (GFRP), Taguchi Method

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