Optical characterization of stereolithography alumina suspensions using the Kubelka–Munk model

Abouliatim, Younès; Chartier, Thierry; Abelard, Peter; Chaput, C.; Delage, C.

doi:10.1016/j.jeurceramsoc.2008.07.008

Cited by 63 publications

(29 citation statements)

References 15 publications

(15 reference statements)

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“…Originally developed for describing the light scattering within layers of turbid substances such as paint, the Kubelka-Munk model takes the changes in reflectance, transmittance and absorbance into account that arise when ceramic particles are added to the photocuring liquid. The value of the radiation energy released at a certain depth, z, inside the photocurable suspension with ceramic particles is given by the following relation: [229] E…”

Section: General Principlementioning

confidence: 99%

“…Thus, the reflectance term can be substituted by the reflective indices of the photocuring liquid, n 0 , and of the ceramic particles, n p . Moreover, the density of the optical medium can be included by the average size of the ceramic particles, d 50 , the wavelength of incoming light, l, and the interparticle spacing, F: [216,[229][230][231] …”

Section: General Principlementioning

confidence: 99%

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Additive Manufacturing of Ceramic‐Based Materials

et al. 2014

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This paper offers a review of present achievements in the field of processing of ceramic-based materials with complex geometry using the main additive manufacturing (AM) technologies. In AM, the geometrical design of a desired ceramic-based component is combined with the materials design. In this way, the fabrication times and the product costs of ceramic-based parts with required properties can be substantially reduced. However, dimensional accuracy and surface finish still remain crucial features in today's AM due to the layer-by-layer formation of the parts. In spite of the fact that significant progress has been made in the development of feedstock materials, the most difficult limitations for AM technologies are the restrictions set by material selection for each AM method and aspects considering the inner architectural design of the manufactured parts. Hence, any future progress in the field of AM should be based on the improvement of the existing technologies or, alternatively, the development of new approaches with an emphasis on parts allowing the near-net formation of ceramic structures, while optimizing the design of new materials and of the part architecture.

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Section: General Principlementioning

confidence: 99%

Section: General Principlementioning

confidence: 99%

Additive Manufacturing of Ceramic‐Based Materials

et al. 2014

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“…More specifically, the modelling works of VP focus on the topology and dimensional accuracy ( [12][13][14] numerical) and mainly on the mechanical properties ( [16] analyticalempirical, [17][18][19][20][21] numerical and [21][22][23][24] empirical) and finally in [25] an analytical-empirical approach models heat transfer related issues.…”

Section: Vat Photopolymerization Processesmentioning

confidence: 99%

“…Process parameter (Variable) [12] Strain Temperature [13] Part shrinkage Thermal compensation, amorphous/crystalline polymer, mould material, cooling conditions [14] Deformation compensation [15] Dimensional Accuracy Layer thickness, part position on the platform, shrinkage compensation, retraction, hatch spacing, alternate hatching, blade gap, stagger weave [16] Cure depth Penetration depth of UV radiation, scattering coefficient [17][18][19] Etching, deposition, lithography mechanics Surface type, material, shape [20] Tool strength, ejection forces, decision about the quality of a tool according to the previous two [21] Separation force Pulling-up speed, others [22] Strength of parts Layer thickness, orientation, hatch spacing [22] Tensile, flexural and impact strength Layer thickness, orientation, hatch spacing [23] Part strength (tensile, impact, flexural) Layer thickness, post-curing time and orientation [24] Tensile strength, crystallographic orientationdensity analysis…”

Section: Kpimentioning

confidence: 99%

Modelling of additive manufacturing processes: a review and classification

Stavropoulos

Foteinopoulos

2018

Manufacturing Rev.

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Abstract. Additive manufacturing (AM) is a very promising technology; however, there are a number of open issues related to the different AM processes. The literature on modelling the existing AM processes is reviewed and classified. A categorization of the different AM processes in process groups, according to the process mechanism, has been conducted and the most important issues are stated. Suggestions are made as to which approach is more appropriate according to the key performance indicator desired to be modelled and a discussion is included as to the way that future modelling work can better contribute to improving today's AM process understanding.

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“…It is important to define how the depth of cure depends upon the energy dose and the characteristics of the powder-monomer solution-photoinitiator system. Several approaches have been taken, relating the depth of cure to the energy dose by modified Beer-Lambert 5 via Kubelka-Munk modeling 6 and by explicitly considering light scattering. 7,8 In this paper, we present a simple predictive model that considers several attenuation processes, including absorption by the photoinitiator, by an inert UV absorber, and attenuation by light scattering from suspended particles.…”

Section: Introductionmentioning

confidence: 99%