2021
DOI: 10.1016/j.jeurceramsoc.2021.02.010
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Fully coupled electrothermal and mechanical simulation of the production of complex shapes by spark plasma sintering

Abstract: The obtention of an accurate mechanical model of the spark plasma sintering (SPS) requires the identification of creep parameters. Those parameters are usually determined experimentally, which involves several tests and could be a source of error for the model predictions. A numerical identification, based on only one SPS experiment per material, allowed the determination of the creep parameters of Al 2 O 3 and TiAl samples. The resulting mechanical model was then coupled with an electro-thermal model of the s… Show more

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Cited by 7 publications
(3 citation statements)
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References 28 publications
(49 reference statements)
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“…[91] This requires the experimental identification of creep parameters. [11,[92][93][94] The more sophisticated models consider grain growth, which affects the densification mechanisms-especially at the end stage of sintering. [87,88,95] Several papers describe the basics of FAST/SPS modeling in detail.…”
Section: Basicsmentioning
confidence: 99%
“…[91] This requires the experimental identification of creep parameters. [11,[92][93][94] The more sophisticated models consider grain growth, which affects the densification mechanisms-especially at the end stage of sintering. [87,88,95] Several papers describe the basics of FAST/SPS modeling in detail.…”
Section: Basicsmentioning
confidence: 99%
“…[22] In contrast, it is advantageous to use granules for making complex-shaped components by SPS. [23] Granules have been sometimes used for SPS of alumina, [24,25] zirconia, [26,27] monolithic SiC ceramic, [28,29] magnesium aluminate spinel, [30] carbon nanotube (CNT)-incorporated aluminazirconia composite, [31] quasi-crystalline materials, [32] and microporous alumina. [33] We aim to present a model experiment for understanding the shrinkage of defects in SPS of granules.…”
Section: Introductionmentioning
confidence: 99%
“…To accomplish this, parameters need to be optimized, and using trial and error is often costly and time-consuming. With this in mind, some researchers [17][18][19] believe numerical simulation of FAST in parallel with experimental tests is necessary for optimization. The summary of the literature reveals that for predicting the density evolution in the sintering process, there is no existing systematic material parameter identification framework that can demonstrate valid results using various processing conditions.…”
Section: Introductionmentioning
confidence: 99%