Impact of bentonite content on the structural, textural and mechanical properties of SBA-15 mesoporous silica beads

Cesário, Moisés R.; Schobing, Julie; Bruder, F.-K.; Dorge, Sophie; Nouali, Habiba; Habermacher, David; Kerdoncuff, Pierre; Vierling, Matthieu; Molière, Michel; Brilhac, Jean-François; Patarin, Joël

doi:10.1007/s10934-020-00865-5

Cited by 5 publications

(4 citation statements)

References 23 publications

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“…Once again, NB‐COK‐25‐M shows a small trend break, which differs from what would be expected from the literature. [ 70 ] The data produced in this study is insufficient to confirm whether this is a true break from the trend or could be attributed to other explanations, such as statistical or sample preparation errors.…”

Section: Resultsmentioning

confidence: 67%

“…It can be observed that the lattice expansion does not compensate for the increase in pore diameter, leading to a thinner pore wall in NB-COK-X-M. Once again, NB-COK-25-M shows a small trend break, which differs from what would be expected from the literature. [70] The data produced in this study is insufficient to confirm whether this is a true break from the trend or could be attributed to other explanations, such as statistical or sample preparation errors.…”

Section: Porous Structurementioning

confidence: 60%

“…The lattice parameter and derived quantities were obtained from the small angle portion of a regular XRD experiment. [ 70 ] Special attention must be paid to the column with the specific mesopore volume by silica weight. It can be clearly seen that while the pore volume is mainly conserved or slightly increases, no significant changes are observed for the reference SBA‐15 material.…”

Section: Resultsmentioning

confidence: 99%

“…Table 6 summarizes the measured and calculated quantities in this section and references a similar work, wherein OMS beads containing SBA-15 were produced, and the only thermal treatment was drying at 60 • C. The lattice parameter and derived quantities were obtained from the small angle portion of a regular XRD experiment. [70] Special attention must be paid to the column with the specific mesopore volume by silica weight. It can be clearly seen that while the pore volume is mainly conserved or slightly increases, no significant changes are observed for the reference SBA-15 material.…”

Section: Porous Structurementioning

confidence: 99%

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Robocasting of ordered mesoporous silica‐based monoliths: Rheological, textural, and mechanical characterization

Dal Molin,

Henning,

Müller

et al. 2023

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Hierarchically porous, high‐surface‐area silica materials are excellent candidates for multiple applications like catalysis and environmental remediation. Shaping these materials with additive manufacturing (AM) techniques, like robocasting, could enable their use with the benefit of on‐demand, customized shaping and maximizing performance. Herein, ordered mesoporous silica COK‐12 slurries were robocasted into monoliths, containing different ratios of uncalcined COK‐12 and sodium bentonite (0–25 wt.%). The rheology of the mixed slurries is characterized by lower flow indexes (0.69 vs. 0.32) and higher yield stresses (96 vs. 259 Pa) compared to pure COK‐12 ones. Monoliths were printed in woodpile structures and calcined at 600°C. Micro‐CT measurements showed a linear shrinkage of 25% after calcination. Mechanical characterization showed increased uniaxial strength (0.20 ± 0.07 to 1.0 ± 0.3 MPa) with increasing binder/solids ratio from 13 to 25%. The amorphous, mesoporous structure of COK‐12 was retained. The structures exhibited open porosities of 52 ± 4% and showed higher specific mesopore volumes, and increased average mesopore size (6 vs. 8 nm) compared to COK‐12. Small‐angle x‐ray scattering analysis revealed an increased lattice parameter (10.3 vs. 11.0 nm) and reduced wall thickness (3.1 nm vs. 4.1 nm) of the COK‐12 in the monoliths. These properties indicate suitability for their application as porous supports and adsorbents.

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Section: Resultsmentioning

confidence: 67%

Section: Porous Structurementioning

confidence: 60%

Section: Resultsmentioning

confidence: 99%

Section: Porous Structurementioning

confidence: 99%

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