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In the present work, models have been generated for prediction of flexural strength, in terms of four input parameters i.e. temperature of the extruder, density of the infill, printing speed, and laye...r height, for 3D printed samples prepared using the Fused Deposition Modelling (FDM) technique. The filament used for printing the specimen is that of Poly Lactic Acid (PLA). Regression and Artificial Neural Networks (ANN) have been used to build mathematical models by utilizing the experimental data obtained for Taguchi L16 Orthogonal array. Value of Rsquare for regression is 86.92. Additionally, the percentage deviation between experimental values and model predicted values have been calculated as per ANN model and the variation is 4.06 percent. Hence ANN model can be used for determination of flexural strength for any combination of four input parameters under study.続きを見る
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Mendeley出力
p1292-1298