An investigation on viscoelastic characteristics of 3D-printed FDM components using RVE numerical analysis

Anoop, M. S.; Senthil, P.; Sooraj, V.S.

doi:10.1007/s40430-020-02724-5

Cited by 17 publications

(5 citation statements)

References 38 publications

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“…where c i is the relative module of tension-compression for relaxation times β i ; N is the number of the shear relaxation times of tension-compression relaxation; E 0 is a modulus when t = 0. All c i must be positive and in sum <1 [36].…”

Section: Viscoelastic Behaviormentioning

confidence: 99%

“…where A(t) is the shift function. Time-temperature superposition is achieved by the William-Landel-Ferry (WLF) shift factor as given in the next equation [35,36]:…”

Section: Viscoelastic Behaviormentioning

confidence: 99%

“…where lg(A(T)) is the shift factor in logarithmic form; T r represents the glass transition temperature obtained from the experiment; the constants C 1 and C 2 are empirical constants of the material and approximated as 17.44 and 51.6, respectively [36].…”

Section: Viscoelastic Behaviormentioning

confidence: 99%

“…The storage and damping properties of the generalized Maxwell model (GMM) [36] were used to estimate the master curve for viscoelastic behavior. The GMM model with a number of Maxwell elements using Prony series coefficients of relaxation time β i and weights α G i fit the experimental data.…”

Section: Viscoelastic Behaviormentioning

confidence: 99%

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Prediction of The Mechanical Behavior of Polylactic Acid Parts with Shape Memory Effect Fabricated by FDM

Issabayeva

Shishkovsky

2023

Polymers

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In this study, the mechanical as well as thermomechanical behaviors of shape memory PLA parts are presented. A total of 120 sets with five variable printing parameters were printed by the FDM method. The impact of the printing parameters on the tensile strength, viscoelastic performance, shape fixity, and recovery coefficients were studied. The results show that two printing parameters, the temperature of the extruder and the nozzle diameter, were more significant for the mechanical properties. The values of tensile strength varied from 32 MPa to 50 MPa. The use of a suitable Mooney–Rivlin model to describe the hyperelastic behavior of the material allowed us to gain a good fit for the experimental and simulation curves. For the first time, using this material and method of 3D printing, the thermomechanical analysis (TMA) allowed us to evaluate the thermal deformation of the sample and obtain values of the coefficient of thermal expansion (CTE) at different temperatures, directions, and running curves from 71.37 ppm/K to 276.53 ppm/K. Dynamic mechanical analysis (DMA) showed a similar characteristic of curves and similar values with a deviation of 1–2% despite different printing parameters. The glass transition temperature for all samples with different measurement curves ranged from 63–69 °C. A material crystallinity of 2.2%, considered by differential scanning calorimetry (DSC), confirmed its amorphous nature. From the SMP cycle test, we observed that the stronger the sample, the lower the fatigue from cycle to cycle observed when restoring the initial shape after deformation, while the fixation of the shape did not almost decrease with each SMP cycle and was close to 100%. Comprehensive study demonstrated a complex operational relationship between determined mechanical and thermomechanical properties, combining the characteristics of a thermoplastic material with the shape memory effect and FDM printing parameters.

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Section: Viscoelastic Behaviormentioning

confidence: 99%

“…where A(t) is the shift function. Time-temperature superposition is achieved by the William-Landel-Ferry (WLF) shift factor as given in the next equation [35,36]:…”

Section: Viscoelastic Behaviormentioning

confidence: 99%

Section: Viscoelastic Behaviormentioning

confidence: 99%

Section: Viscoelastic Behaviormentioning

confidence: 99%

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Prediction of The Mechanical Behavior of Polylactic Acid Parts with Shape Memory Effect Fabricated by FDM

Issabayeva

Shishkovsky

2023

Polymers

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“…Considering the literature [13], the significant topic in the field of FDM is examining manufacturing parameters' impact on mechanical characteristics and optimization techniques to obtain the best properties. Appropriate researches have been performed in other fields like numerical analysis [14,15]. The significant effect of printing parameters on the properties of the final manufactured component and the use of novel geometric parameters.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation on the 3D Printing of Nylon Reinforced by Carbon Fiber through Fused Filament Fabrication Process, Effects of Extruder Temperature, and Printing Speed

Moradi,

Malekshahi Beiranvand,

Salimi

et al. 2024

International Journal of Polymer Science

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This study investigated how the extruder temperature, printing speed, and specimen geometry interact during a tensile test of continuous carbon fiber-reinforced nylon matrix composites produced by the fused deposition modelling (FDM) process. The investigation utilized statistical techniques. For this purpose, tensile examinations were done on manufactured samples using a testing apparatus. The study’s objective is to identify the most efficient specimen geometry for tensile testing result optimization and to maximize the 3D printing process’s capability for producing complex, freeform patterns in these composites. In this study, the input parameters required for the response surface methodology (RSM) were varying extruder temperature (240-255°C) and printing speed (60-80 mm/s), and experimental responses included modulus, elongation at break, and weight. The findings of the regression analysis showed output responses are influenced by both input variables. The results showed that the strength of the samples was significantly influenced by the input parameters. To draw the surface and residual plots, the software of design expert software was used. The interaction between the two input variables suggests raising the extruder temperature and decreasing printing speed, which leads to printing heavier samples. Inversely, the diversity between the forecasted and real responses for the optimal specimens is less than 10% which is assumed to be acceptable for the design of experiments (DOE). The analysis took into account the lower and upper ranges of the input variable with the goal of enhancing both the most modulus and fracture elongation while simultaneously degrading the weight of the specimens. To achieve this objective, the extruder temperature and printing speed are between 240 and 250°C and 65 and 75 mm/s, respectively.

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Challenges to Improve Extrusion‐Based Additive Manufacturing Process of Thermoplastics toward Sustainable Development

Patti

2024

Macromol. Rapid Commun.

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This review aims to present the different approaches to lessen the environmental impact of the extrusion‐based additive manufacturing (MEX) process of thermoplastic‐based resins and protect the ecosystem. The benefits and drawbacks of each alternative, including the use of biomaterials or recycled materials as feedstock, energy efficiency, and polluting emissions reduction, have been examined. First, the technological option of using a pellet‐fed printer was compared to a filament‐fed printer. Then, common biopolymers utilized in MEX applications were discussed, along with methods for improving the mechanical properties of associated printed products. The introduction of natural fillers in thermoplastic resins and the use of biocomposite filaments have been proposed to improve the specific performance of printed items, highlighting the numerous challenges related to their extrusion. Various polymers and fillers derived from recycling were presented as feeding raw materials for printers to reduce waste accumulation, showing the inferior qualities of the resulting goods when compared to printed products made from virgin materials. Finally, the energy consumption and emissions released into the atmosphere during the printing process were discussed, with the potential for both aspects to be controlled through material selection and operating conditions.This article is protected by copyright. All rights reserved

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An investigation on viscoelastic characteristics of 3D-printed FDM components using RVE numerical analysis

Cited by 17 publications

References 38 publications

Prediction of The Mechanical Behavior of Polylactic Acid Parts with Shape Memory Effect Fabricated by FDM

Prediction of The Mechanical Behavior of Polylactic Acid Parts with Shape Memory Effect Fabricated by FDM

Experimental Investigation on the 3D Printing of Nylon Reinforced by Carbon Fiber through Fused Filament Fabrication Process, Effects of Extruder Temperature, and Printing Speed

Challenges to Improve Extrusion‐Based Additive Manufacturing Process of Thermoplastics toward Sustainable Development

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