Influence of residual stress and fluid–structure interaction on the impact behavior of fused filament fabrication components

Sunny, Sumair; Chen, Huiluo; Malik, Arif; Lu, Hongbing

doi:10.1016/j.addma.2020.101662

Cited by 9 publications

(2 citation statements)

References 48 publications

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“…In literature, the existing investigations on the dynamic mechanical properties for 3D-printed composites were mainly experimental. [21,25,26] However, many factors such as printing parameters and strain rate could affect the dynamic mechanical properties of 3D-printed composites. Moreover, experimental methods can only study the mechanical properties at discontinuous points over the factor combination space.…”

Section: Introductionmentioning

confidence: 99%

Investigation on dynamic strength of 3D‐printed continuous ramie fiber reinforced biocomposites at various strain rates using machine learning methods

et al. 2022

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3D-printed continuous natural fiber reinforced biocomposites have promising prospects due to their environmental friendliness and suitable mechanical properties. Understanding the dynamic mechanical properties of 3D-printed biocomposites is essential to expand their application. In this study, the continuous ramie fiber reinforced biocomposites (CRFRC) with different layer thicknesses and hatch spacings were fabricated via 3D printing technique with microstructure characterized. In addition, the dynamic strengths of 3D-printed CRFRC at four strain rates were investigated. The experimental results exhibited that the printing parameters presented nonlinear and interactive influences on the dynamic strength of CRFRC. Given this circumstance, machine learning methods were employed to link the dynamic strength of 3Dprinted CRFRC with different printing parameters. The experimental data were used to train, calibrate, and validate the machine learning models. The trained models were then utilized to predict the dynamic strength of CRFRC printed using different conditions. Behaviors under multiple strain rates were investigated over the whole parameter space. A good agreement was found between experimental results and predictions. Based on the prediction results, the relationships between parameters, microstructural characteristics and dynamic strength of printed CRFRC were quantitatively analyzed.

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Section: Introductionmentioning

confidence: 99%

Investigation on dynamic strength of 3D‐printed continuous ramie fiber reinforced biocomposites at various strain rates using machine learning methods

et al. 2022

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“…The FEA considered the temperature effect on RS from the welding process, the flow and mass transfer on a pipe and wall thinning [14]. Whilst [15], have studied the influence of entrapped fluid and RS from a fused filament fabrication (FFF) process on impact behaviours of cylindrical nylon specimens [15]. They implemented the coupled effects of RS and FSI in their FEA to derive the dynamic load bearing characteristics of the specimens [11].…”

Section: Introductionmentioning

confidence: 99%

Combined residual stresses and fluid-structure interaction finite element analysis on bent pipes

Simandjuntak

Lin

Affendy³

et al. 2021

Materials at High Temperatures

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Warpage Estimation in Fused Filament Fabrication of ABS Parts Using Finite Element Method

Sahu

Gorthi

Arora

2023

Smart Innovation, Systems and Technologies

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Influence of residual stress and fluid–structure interaction on the impact behavior of fused filament fabrication components

Cited by 9 publications

References 48 publications

Investigation on dynamic strength of 3D‐printed continuous ramie fiber reinforced biocomposites at various strain rates using machine learning methods

Investigation on dynamic strength of 3D‐printed continuous ramie fiber reinforced biocomposites at various strain rates using machine learning methods

Combined residual stresses and fluid-structure interaction finite element analysis on bent pipes

Warpage Estimation in Fused Filament Fabrication of ABS Parts Using Finite Element Method

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