Robocasting of advanced ceramics: ink optimization and protocol to predict the printing parameters - A review

“…Poor identification and quantification of defects and limited standardization and speed of advancements the processes (feedstock development, processing parameters, postprocessing steps, etc.) 1,2,23,70,76,94,192,222,223 With these challenges in mind, the focus in this perspective will be on the following two future directions for ceramic AM: (1) incorporation of fiber reinforcement during printing and (2) approaches utilizing artificial intelligence and machine learning (AI/ML).…”

Section: Challenges and Opportunities In Ceramic Ammentioning

confidence: 99%

“…In order to assess and analyze recent review articles in this area, a Scopus search was conducted in April 2023 for the specific time frame of 2018–2023. This search resulted in 165 review articles on ceramic additive manufacturing or some subset of that topic 1,3–166 . Figure 1 shows a graphical representation of the number of review articles separated into five focus areas.…”

Section: Introductionmentioning

confidence: 99%

Future directions in ceramic additive manufacturing: Fiber reinforcements and artificial intelligence

Rueschhoff,

Baldwin,

Hardin

et al. 2023

J Am Ceram Soc.

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Research in the field of ceramic additive manufacturing (AM) has been rapidly accelerating, resulting in hundreds of publications and review articles in recent years. While strides have been made in forming near‐net and complex‐shaped ceramic components, challenges remain that inhibit more widespread implementation. In this perspective, we provide a meta‐analysis of recent review articles and highlight a deficiency in two areas of promising future directions to address remaining challenges. The first is incorporation of fiber reinforcements in printed parts to overcome the challenges of poor mechanical performance of monolithic ceramics. Recent work in the area has shown promise incorporating discrete fiber reinforcements as an easier use case given existing equipment limitations, but continuous fibers are needed to reach full toughness potential. Here, we overview some options and future directions bases on success in polymer composites. Second, artificial intelligence (AI) approaches, including machine learning (ML), are suggested in order to accelerate feedstock development and process optimization. While there has been very limited work to date in utilizing AI/ML techniques for ceramic AM, again inspiration and lessons learned are drawn from the polymer AM community.

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“…25,26 However, the problems of low printing resolution and degradation of mechanical properties due to the high porosity still need to be overcome in the preparation of ink-writing ceramics. [27][28][29][30] Herein, we have demonstrated a novel low-cost ink modification method combined with the DIW process to produce catastrophically fracture-resistant honeycomb Si 3 N 4 ceramics with high-precision parallel pores structure. Results showed that the honeycomb Si 3 N 4 ceramics prepared in this study exhibited excellent mechanical properties and unique non-catastrophic fracture characteristics.…”

Section: Introductionmentioning

confidence: 99%

“…Relevant studies have proved that the Si 3 N 4 ceramic body manufactured by the DIW had excellent structural and chemical stabilities 25,26 . However, the problems of low printing resolution and degradation of mechanical properties due to the high porosity still need to be overcome in the preparation of ink‐writing ceramics 27–30 …”

Section: Introductionmentioning

confidence: 99%

3D printing of honeycomb Si₃N₄ ceramic

Wang

et al. 2023

Int J Applied Ceramic Tech

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In this paper, a honeycomb Si3N4 ceramic was fabricated by 3D printing with a well‐preserved structure. The effects of Si3N4 content on the rheological properties of Si3N4/sol–silica ink and the printing resolution of products were investigated. The microstructure, phase composition, liner shrinkage rate, and fracture behavior of printed samples before and after sintering were systematically characterized in detail. The results showed that the modified inks had the optimized rheological properties, and the stress–shear rate curves corresponding to each slurry could be well described by Bingham and Herschel–Bulkley fluid models. The corresponding slump rates of the printed samples with different Si3N4 to sol–silica mass ratios were all lower than 4%, and the linear shrinkage rate of all of the samples after sintering was below 20%. The fracture behavior under compressive loading of the honeycomb Si3N4 ceramics tended to be non‐catastrophic fractures both before and after sintering. The compressive strengths of all of the printed samples decreased with the increase of the Si3N4 content, and the highest compressive strength of the honeycomb ceramics could reach 131.2 MPa after sintering at 1600°C, which was about 366.9% higher than that of the samples in green state prior to the sintering.

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Robocasting of advanced ceramics: ink optimization and protocol to predict the printing parameters - A review

Cited by 60 publications

References 99 publications

3D direct ink printed materials for chemical conversion and environmental remediation applications: a review

3D direct ink printed materials for chemical conversion and environmental remediation applications: a review

Future directions in ceramic additive manufacturing: Fiber reinforcements and artificial intelligence

3D printing of honeycomb Si₃N₄ ceramic

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Robocasting of advanced ceramics: ink optimization and protocol to predict the printing parameters - A review

Cited by 60 publications

References 99 publications

3D direct ink printed materials for chemical conversion and environmental remediation applications: a review

3D direct ink printed materials for chemical conversion and environmental remediation applications: a review

Future directions in ceramic additive manufacturing: Fiber reinforcements and artificial intelligence

3D printing of honeycomb Si3N4 ceramic

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Product

Resources

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3D printing of honeycomb Si₃N₄ ceramic