Modeling robocasting with smoothed particle hydrodynamics: Printing gap-spanning filaments

Dietemann, Bastien; Bosna, Fatih; Lorenz, Mylena; Travitzky, Nahum; Kruggel‐Emden, Harald; Kraft, Torsten; Bierwisch, Claas

doi:10.1016/j.addma.2020.101488

Cited by 5 publications

(6 citation statements)

References 41 publications

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“…They have less influence on the design process itself, but awareness of them during the design process can be beneficial to the final result, e.g. (Moritzer et al, 2019;Dietemann et al, 2020).  AM specifications provide information about the characteristics of the printing process that should describe the quality of the result.…”

Section: Methodsmentioning

confidence: 99%

Additive Manufacturing Research Landscape: A Literature Review

2021

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Additive manufacturing offers several potentials such as the freedom of design, part consolidation, function integration, or time and cost-savings. These potentials make AM interesting for industries such as aerospace, automotive and medical implants, and are also seen as enables for the creation of entirely new business models. Additive manufacturing has the potential to change the current manufacturing landscape substantially and has attracted much attention of industry and academia over the last decades.However, these developments require improvements concerning the technology itself and its successful implementation into the value creation chain. Driven by the promising market opportunities and upcoming technological developments, many research activities started.This paper presents a literature review of publications from the last 20 years. Based on this analysis, the evolution of the AM research landscape is portrayed. The research landscape is organised into four areas: machine and process, material, digital process chain and methodology. The paper summarises developments in each of these areas and concludes by presenting current and discussing future research topics.

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Section: Methodsmentioning

confidence: 99%

Additive Manufacturing Research Landscape: A Literature Review

2021

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“…Non-Brownian suspension simulations are applied to provide the orientation data against which we fitted the FT parameter. The algorithm and setup for the suspension simulations are precisely described and validated in reference [38]. A validation to an experiment showing that the model is able to predict the orientation accurately is presented in reference [39].…”

Section: Suspension Simulationsmentioning

confidence: 99%

Assessment of Analytical Orientation Prediction Models for Suspensions Containing Fibers and Spheres

et al. 2021

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Analytical orientation models like the Folgar Tucker (FT) model are widely applied to predict the orientation of suspended non-spherical particles. The accuracy of these models depends on empirical model parameters. In this work, we assess how well analytical orientation models can predict the orientation of suspensions not only consisting of fibers but also of an additional second particle type in the shape of disks, which are varied in size and filling fraction. We mainly focus on the FT model, and we also compare its accuracy to more complex models like Reduced-Strain Closure model (RSC), Moldflow Rotational Diffusion model (MRD), and Anisotropic Rotary Diffusion model (ARD). In our work, we address the following questions. First, can the FT model predict the orientation of suspensions despite the additional particle phase affecting the rotation of the fibers? Second, is it possible to formulate an expression for the sole Folgar Tucker model parameter that is based on the suspension composition? Third, is there an advantage to choose more complex orientation prediction models that require the adjustment of additional model parameters?

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“…Dietemann et al modeled the DIW method using smooth particle hydrodynamics. The study determines a suitable region of material properties of the precursor paste that can achieve the filament over a gap, also known as gap spanning [26].…”

Section: Introductionmentioning

confidence: 99%

An ICME framework for short fiber reinforced ceramic matrix composites via direct ink writing

Sun,

Marziale,

Haselhuhn

et al. 2024

Modelling Simul. Mater. Sci. Eng.

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A manufacturing-driven ICME framework is proposed to model short fiber reinforced ceramic matrix composite via direct ink writing. Currently, there lacks efforts to investigate the effects of properties of short fiber reinforced ceramic matrix composites due to fiber alignment variance. A multi-scale modeling approach is presented to use representative volume elements to capture the homogenized mechanical behavior at various fiber aspect ratio and volume ratio. The orthotropic material properties are mapped to model the printing process. A series of tensile tests simulations show that with 20$^\circ$ standard deviation in fiber alignment, the fracture plane has the maximum local tensile stress range at 30 degree printing angle. This local tensile stress variation is shown the minimum at 90 degree When the standard deviation increases from 20 degree to 40 degree, the average tensile strength across the fracture plane decreases by 2%, but the stress variations increase 27.6%.

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Modeling robocasting with smoothed particle hydrodynamics: Printing gap-spanning filaments

Cited by 5 publications

References 41 publications

Additive Manufacturing Research Landscape: A Literature Review

Additive Manufacturing Research Landscape: A Literature Review

Assessment of Analytical Orientation Prediction Models for Suspensions Containing Fibers and Spheres

An ICME framework for short fiber reinforced ceramic matrix composites via direct ink writing

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