Simulation and prediction of bending performance of wood plastic composite profiles using finite element method by ANSYS Workbench software

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
In this study, bending performance of the WPC profiles of Asre Honar company were measured, then were predited by finite element method (FEM) with ANSYS software to decrease the cost and time of measurement. Therefore, the bending strength of small control specimens with a span length of 180 mm were firstly measured. Accordingly, their bending modulus of elasticity (MOE) and Poisson's ratio of 0.3 were used as input data for prediction. Therefore, four types of hollow and solid WPC profiles with span lengths of 180 and 450 mm were tested under three-point bending loading with a Hounsfield 0308 testing machine with a loading rate of 5 mm/min. Subsequently, their MOR and creep values were measured and compared with those predicted by the FEM. The results of the analysis of variance (ANOVA) Table showed that the main effect of profile types on MOR was statistically significant. Furthermore, the main and the interaction effects of the span lengths and profile types on MOE were statistically significant. The investigation of the main effects revealed that MOR and MOE decreased by 8.8% and increased by 17.7%, respectively by raising the span length from 180 to 450 mm, and also they altered by 33.1% and 24.2% with the change in profile types. In addition, the interaction effects showed that MOR and MOE values changed by 43.9% and 66.6%, respectively with the simultaneous change of the span lengths and profile types. The results indicated that the FEM predicted the MOR values with a mean absolute percentage error (MAPE) of less than 3.03% and their corresponding creep with a MAPE of less than 15.25%. According to the satisfied MAPE of FEM, it could be suggested as an efficient method for predicting the bending properties of these products.
Language:
Persian
Published:
Iranian Journal of Wood and Paper Industries, Volume:13 Issue: 3, 2023
Pages:
325 to 344
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