Interlayer fusion bonding of semi-crystalline polymer composites in extrusion deposition additive manufacturing

Barocio, Eduardo; Brenken, Bastian; Favaloro, Anthony J.; Pipes, R. Byron

doi:10.1016/j.compscitech.2022.109334

Cited by 21 publications

(13 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The initial temperature of the deposited polymer can be seen in red, just after the extrusion of the filament. The heat is first concentrated on the extruded filament, and is then diffused to the previously deposited filaments, shown in green at t = 4.0, 5.0, and 10.0 s. The polymer then reaches a more homogenous thermal state during its cooling, as can be seen at t = 20.0 s. This trend is in agreement with previously observed experiments [22,26,60]. At t = 2.0, 2.5, 3.0, and 33.0 s, some glowing horizontal lines can be seen, which correspond to the interfaces of the filaments.…”

Section: Experimental Studysupporting

confidence: 90%

“…Although their experimental set-up could not confirm it, they mentioned a conduction effect from the newly extruded filament influencing the temperature of the previous deposited filaments, which was later confirmed by another study [16]. More recent models are much more realistic [17][18][19]60] as they consider the successive deposition pattern and describe the thermal phenomena better by including conduction with neighboring filaments with thermal contact resistances, exothermic crystallization, convection with the environment and radiation losses. In this article, we follow the modelling approach initiated in a previous work [48].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Methodology to assess interlayer quality in the material extrusion process: A temperature and adhesion prediction on a high performance polymer

Lepoivre¹,

Boyard²,

Lévy³

et al. 2022

Additive Manufacturing

View full text Add to dashboard Cite

Section: Experimental Studysupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Methodology to assess interlayer quality in the material extrusion process: A temperature and adhesion prediction on a high performance polymer

Lepoivre¹,

Boyard²,

Lévy³

et al. 2022

Additive Manufacturing

View full text Add to dashboard Cite

“…First, we describe the steps taken to prepare the specimen. We printed panels to extract coupons for the tensile tests using an extrusion deposition system developed at Purdue University, called the Composites Additive Manufacturing Research Instrument (CAMRI) [43]. The nozzle diameter of the extrusion system was 4 mm and the resulting dimensions of the printed bead were 6.15 mm in width and 1.5 mm in height.…”

Section: Experimental Measurements Of Composite Elastic Propertiesmentioning

confidence: 99%

Bayesian Inference of Fiber Orientation and Polymer Properties in Short Fiber-Reinforced Polymer Composites

Thomas,

Barocio,

Bilionis

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

We present a Bayesian methodology to infer the elastic modulus of the constituent polymer and the fiber orientation state in a short-fiber reinforced polymer composite (SFRP). The properties are inversely determined using only a few experimental tests. Developing composite manufacturing digital twins for SFRP composite processes, including injection molding and extrusion deposition additive manufacturing (EDAM) requires extensive experimental material characterization. In particular, characterizing the composite mechanical properties is time consuming and therefore, micromechanics models are used to fully identify the elasticity tensor. Hence, the objective of this paper is to infer the fiber orientation and the effective polymer modulus and therefore, identify the elasticity tensor of the composite with minimal experimental tests. To that end, we develop a hierarchical Bayesian model coupled with a micromechanics model to infer the fiber orientation and the polymer elastic modulus simultaneously which we then use to estimate the composite elasticity tensor. We motivate and demonstrate the methodology for the EDAM process but the development is such that it is applicable to other SFRP composites processed via other methods. Our results demonstrate that the approach provides a reliable framework for the inference, with as few as three tensile tests, while accounting for epistemic and aleatory uncertainty. Posterior predictive checks show that the model is able to recreate the experimental data well. The ability of the Bayesian approach to calibrate the material properties and its associated uncertainties, make it a promising tool for enabling a probabilistic predictive framework for composites manufacturing digital twins.

show abstract

“…Coalescence and healing are only possible if the chains present at the interfaces have sufficient molecular mobility [4]. Molecular mobility is governed by the thermodynamic state of the polymers, for the amorphous phase, mobility is restricted below the glass transition [5].…”

Section: Introductionmentioning

confidence: 99%

Fused filament fabrication: Numerical adhesion modeling suitable for semicrystalline polymers

BENARBIA

2023

Materials Research Proceedings

View full text Add to dashboard Cite

Abstract. Numerous studies have been conducted to improve the adhesion quality at the interface between the filaments which remains one of the weak points in the FFF process. The interfacial adhesion of printed parts has already been investigated by several authors for amorphous polymers. However, for semicrystalline polymers, the influence of crystallization on adhesion kinetics as well as the description of partial melting at interfaces between filaments are not well taken into account in the models describing FFF process. The purpose of this work consists of proposing a predictive multiphysics model that enables the prediction of the adhesion degree for semi-crystalline polymers during FFF process. The coupling of a crystallization and melting model allows the estimation of the crystalline degree evolution at the interface. The use of a recent model predicting the molecular mobility as a function of temperature and crystallization makes it possible to estimate the degree of healing in anisothermal conditions. Finally, a parametric study is performed in order to propose process window improving the adhesion quality.

show abstract

Interlayer fusion bonding of semi-crystalline polymer composites in extrusion deposition additive manufacturing

Cited by 21 publications

References 23 publications

Methodology to assess interlayer quality in the material extrusion process: A temperature and adhesion prediction on a high performance polymer

Methodology to assess interlayer quality in the material extrusion process: A temperature and adhesion prediction on a high performance polymer

Bayesian Inference of Fiber Orientation and Polymer Properties in Short Fiber-Reinforced Polymer Composites

Fused filament fabrication: Numerical adhesion modeling suitable for semicrystalline polymers

Contact Info

Product

Resources

About