Effects of microstructures on the mechanical properties of lithium disilicate glass-ceramics for the SiO2–Li2O–P2O5–K2O–ZnO system

Kim, Dami; Kim, Hyeong-Jun; Yoo, Sang‐Im

doi:10.1016/j.msea.2020.140564

Cited by 19 publications

(8 citation statements)

References 64 publications

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“…This is in good agreement with previous studies and expands upon previously known trends. 18,24 The CNN was the best performer of all the models. Unfortunately, because of the nature of the system, it is hard to draw direct physical conclusions about the influence of the microstructure on the overall hardness.…”

Section: Discussionmentioning

confidence: 99%

“…21,22 In addition to the systems previously mentioned, hardness values have been acquired on lithium disilicate (LD) systems using either the nanoindentation 23 or Vickers microindentation. 24 To our knowledge, our previous work 4 was the first to measure H K on an LD system, and our system contained lithium tantalate (LT) as a secondary phase. Those results showed that H K increased as lithium metasilicate decomposed and as LD and LT became the primary phases in the material.…”

Section: Introductionmentioning

confidence: 99%

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Machine learning predictions of Knoop hardness in lithium disilicate glass‐ceramics

et al. 2023

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Predicting the effects of ceramic microstructures on macroscopic properties, such as the Knoop hardness, has long been a difficult task. This is particularly true in glass–ceramics, where multiple unique crystalline phases can overlap with a background glassy phase. The combination of crystalline and glassy phases makes it difficult to quantify the percent crystallinity and to predict properties that are the result of the chemical composition and microstructure. To overcome this difficulty and take the first step to build a system for characterizing glass‐ceramics, we predict the Knoop hardness based on scanning electron microscopy images using two computational techniques. The first technique is a computer vision algorithm that allows for physical insights into the system because the features used in a predictive model are extracted from the images. The second technique is machine learning with convolutional neural networks that are trained through transfer learning, allowing for more accurate predictions than the first method but with the downside of being a black box. Discussion of the relative merits of the models is included.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Machine learning predictions of Knoop hardness in lithium disilicate glass‐ceramics

et al. 2023

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“…Heat treatment at a low temperature resulted in multi-phase crystallization for Li 3 PO 4 , β-cristobalite, and LD, and the LM phase to be retained [31]. The heterogeneity of the TEC of crystal phases can reduce the stored elastic energy available for the creation or propagation of cracks [22,32]. Crystallization of LD continued during the second firing cycle thanks to consumption of the amorphous phase and LM crystals (Table 3) below 820 °C, but the neterogeny of crystal grain size (Fig.…”

Section: Discussionmentioning

confidence: 99%

The effect of prolonged holding time on the mechanical property and microstructural property of lithium disilicate glass-ceramic

Lin

Wang

Zhang

et al. 2022

J Mater Sci: Mater Med

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Repeat firing produces uncertainty about stabilizing lithium disilicate glass-ceramic (LDGC) material properties, even though prolonged holding time can enhance the mechanical property of LDGC during a single firing cycle. However, the effect of prolonged holding time and repeat firing on the mechanical property and microstructure of LDGC is not fully understood. In the present study, three groups of LDGC material were created: (i) extension of holding time (7 vs. 14 vs. 28 min) at 780–800 °C; (ii) holding time extension (7 vs. 14 min) and dual sintering at 800–820 °C, respectively; (iii) dual sintering with prolonged holding time (7 vs. 14 min) at 820–840 °C. The nano-indenter test revealed that prolonged holding time (14 and 28 min) promoted the enhancement of LDGC hardness and Young’s modulus. X-ray photoelectron spectroscopy, X-ray diffraction and Fourier transform infrared spectroscopy confirmed that prolonged holding time increased and stabilized LD phase in LDGC, as well as induced residual compressive stress. Scanning electron microscopy showed that prolonged holding time increased LD crystal grains homogeneously and facilitated LDGC to form dense interlocking structure without enlarging crystal size grains significantly. In contrast, LDGC that dual sintered alone at 820–840 °C possessed inferior mechanical properties, coupled with heterogeneous crystal phases, residual tensile stress, and melted crystals grains in the porous microstructure. Interestingly, these deteriorated properties of LDGC caused by dual sintering alone could be counteracted by prolonging the holding time. Nevertheless, the LDGC materials displayed an excellent biocompatibility throughout the study. This study identified that prolonged holding time during repeated firing cycles stabilized LD phase and crystal grain size of LDGC, thus enhanced the mechanical properties, which provided a new insight to extend the repeat fired restoration longevity of LDGC.

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“…Being similar to natural teeth, lithium disilicate-based materials are used to manufacture crowns, veneers and dental bridges. The fine-grained interlocking crystals in the lithium disilicate provide high mechanical properties for the replacement of the anterior teeth [2]. As a result of their clinical longevity lithium disilicate allceramic structures are successful on the commercial scale [3,4] particularly, for the single crowns.…”

Section: Introduction *mentioning

confidence: 99%

Diffusion and Thermal Shock Behaviour of Silicate Dental Ceramics

Ertuǧ

2023

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The purpose of this study is to examine the diffusion and thermal shock behaviour of the alternative dental silicates. The samples derived from BaO-SiO2 system have been produced by melting process and followed by the heat treatment. X-ray examinations have indicated that the amount of orthorhombic sanbornite phase rised due to treatment temperature as revealed by the peak intensities. The alteration of the morphology by treatment temperature was evident from scanning electron microscopy SEM images. Crystallization at low temperature produced small crystallites and coarsening was not observed with a rise in temperature. The failure of the dental samples after the thermal shock test was examined using SEM. A continuous crack geometry and very few crack branching were observed. Diffusivity constant (D) and diffusion rate were examined vs treatment temperature for the present system. Diffusion depth (L) was doubled when the crystallization treatment was applied. Based on the obtained results, these silicate samples might take part in the further characterization studies to be used as alternative dentistry materials.

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Effects of microstructures on the mechanical properties of lithium disilicate glass-ceramics for the SiO2–Li2O–P2O5–K2O–ZnO system

Cited by 19 publications

References 64 publications

Machine learning predictions of Knoop hardness in lithium disilicate glass‐ceramics

Machine learning predictions of Knoop hardness in lithium disilicate glass‐ceramics

The effect of prolonged holding time on the mechanical property and microstructural property of lithium disilicate glass-ceramic

Diffusion and Thermal Shock Behaviour of Silicate Dental Ceramics

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