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Simulation of the Drilling Process in GFRP Composites Using System Dynamics and Validation by ANN and RSM

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Document pages: 9 pages

Abstract: This paper intends to present the System Dynamics (SD) as a novel method to simulate the thrust force developed during drilling of GFRP composites. Good quality holes are extremely fundamental so as to accomplish equally good joints amid creation of components prepared from composite for better execution. Since the nature of a drilled hole is subject to material properties and machining conditions, it is important to think about the impacts of these factors on the nature of hole obtained. In the present work, the machining parameters thickness of the material, drill point angle, drill size, drill speed and feed rate are selected to evaluate their effect on the quality of the hole. Past works uncover the fact that the damage caused to the drilled hole is primarily due to the thrust force. Consequently it is fundamental to limit the thrust force so as to accomplish better quality of the drilled hole. The SD simulation model was implemented through a causal loop diagram. A mathematical equation used in the simulation was developed utilizing the Design of Experiments (DOE) technique. VENSIM programming was utilized to create and run the SD model. The SD simulation results were compared with Artificial Neural Networks (ANN) results, Response Surface Methodoly (RSM) results and the experimental results. A decent agreement was seen between SD, ANN and RSM results.

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