Predicting the mechanical properties of ultra-high temperature ceramics

Skripnyak, Vladimir A.; Skripnyak, Vladimir V.

doi:10.22226/2410-3535-2017-4-407-411

Cited by 16 publications

(5 citation statements)

References 16 publications

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“…The elastic and thermophysical characteristics of ZrO 2 and ZrB 2 –SiC were determined based on the temperature dependences taken from Refs. [ 39 , 40 ]. The effective properties of the intermediate layers of the composite were determined by the mixture rule.…”

Section: Resultsmentioning

confidence: 99%

Formation of Thick Immersion Coatings and Residual Stress Evaluation in the System ZrB2–ZrO2: Experimental and Numerical Investigation

et al. 2023

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The combination of various oxide ceramics in layered and functionally graded composites allows for the development of novel materials, including for high-temperature applications. This study demonstrates the possibility of obtaining a thick ZrO2-based coating on a ZrB2–SiC ceramic substrate by the immersion method. For better wettability, the porous ZrB2–SiC substrate is treated with cold plasma without changing the structure and phase composition of the surface. Immersion of the substrate in a ZrO2-based slurry results in the formation of a gradient transition layer due to ZrO2 particle penetration into the pore volume. The interfacial residual microstresses are evaluated experimentally. The residual macrostresses in the samples are calculated by finite element simulation. It is shown that the thermal residual stresses in the ZrB2–SiC substrate are compressive and do not exceed 43 MPa. In the ZrO2 coating and transition layers of the composite, the residual stresses are tensile. Their values increase as they get closer to the outer layer of the ZrO2 coating and reach 1525 MPa. This confirms the conclusions about the presence of tensile residual stresses made in the experimental part of the work when observing crack propagation in the surface layers during indentation.

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Section: Resultsmentioning

confidence: 99%

Formation of Thick Immersion Coatings and Residual Stress Evaluation in the System ZrB2–ZrO2: Experimental and Numerical Investigation

et al. 2023

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“…The measurement of critical energy release rate was calculated using the following equation [ 36,50 ]

G_{1 c} = K_{1 c}^{2} (\frac{1 - v^{2}}{E})

where G 1c is the critical energy release rate (J m −2 ), and ν is Poisson's ratio, taken as 0.128 for monolithic ZrB 2 [ 51 ] and 0.134 for the two composites calculated using rule of mixture ( ν Si = 0.16 [ 51 ] ).…”

Section: Methodsmentioning

confidence: 99%

“…where G 1c is the critical energy release rate (J m À2 ), and ν is Poisson's ratio, taken as 0.128 for monolithic ZrB 2 [51] and 0.134 for the two composites calculated using rule of mixture (ν Si ¼ 0.16 [51] ).…”

Section: Methodsmentioning

confidence: 99%

Engineered Role of SiC Particle Size on Multi‐Length‐Scale Wear Damage of Spark Plasma Sintered Zirconium Diboride

Hassan

Balani

2020

Adv Eng Mater

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Among all the members from different families of ultra-high temperature ceramics (UHTCs), including borides, carbides, and nitrides, zirconium diboride (ZrB 2) is a special one, [1] possessing extraordinary combination of properties, [2-4] such as high mechanical properties viz. hardness (15-29.4 GPa [5-8]), fracture toughness (2.8-4 MPa m 1/2[6,9,10]), high thermal conductivity (57.9-60 W m À1 K À1[11,12]), low electrical resistivity (9.2-10 μΩ cm [13,14]), and also low density (6.1 g cm À3[7,15]). However, for hypersonic applications, hardness, fracture toughness, and tribological properties need to be improved, and the density of monolithic ZrB 2 needs to be reduced further to produce maneuverable hypersonic vehicles. [16] Moreover, poor sinterability of UHTCs, in general, and, thus, in ZrB 2 , due to its strong covalent bonding, adherence of oxide impurities on its particles' surface, and poor self-diffusivity, has always been a matter of concern. [17,18] In this context, reinforcement with a suitable secondary phase, such as SiC, B 4 C, ZrC, and MoSi 2 , has improved not only densification but also mechanical properties, such as hardness and fracture toughness, oxidation resistance, thermal properties, and wear resistance as well. [16,18-21] Among these reinforcements, B 4 C and SiC possess low density (2.52 and 3.16 g cm À3 , respectively [16,22]) and are attracting more interest in enhancing the performance of UHTCs. Enormous research has been carried out to study the effect of reinforcements on the mechanical, oxidation, and thermal performance of ZrB 2. SiCreinforced ZrB 2 composites have received special interest, [23-25] considered as baseline UHTC composites [17,26-29] with 20 vol% SiC as optimal for aerospace applications; [30-33] however, studies regarding the effect of reinforcement on tribological behavior are available in scarce as compared with studies on other aspects, such as mechanical, thermal, and oxidation behavior. One of the earliest studies on the friction and wear of hot pressed (2100 C for 1 h at 34.3 MPa in Ar) ZrB 2-based composites carried out by Umeda et al. [34] in the 1990s showed the coefficient of friction (cof) varied between 0.90 and 0.95. With an increase in relative humidity (RH; from <10 to >70%), cof decreased to 0.2-0.4. The tests were performed in air using reciprocating pin-on-block instrument with pin and block of the same material at 7.8 N load and a sliding speed of 1.5 mm s À1 for 100 cycles. Hertzian cracks were formed perpendicular to the sliding direction in ZrB 2 and ZrB 2 þ B 4 C (50:50 wt%) composite, whereas no cracks developed in the ZrB 2 þ B 4 C þ SiC (46:46:8 wt%) composite, revealing the effective role of synergetic reinforcement of B 4 C and SiC in toughening the ZrB 2 matrix. Recently, Medveď et al. [35] processed ZrB 2-based composites viz. ZrB 2 þ 10 wt% B 4 C, ZrB 2 þ 10 wt% SiC, and ZrB 2 þ 10 wt% ZrC via spark plasma sintering (SPS; sintered from 1800 to 2050 C at 50 MPa for 10 min in Ar) to study the tribological behavior of carbide reinforceme...

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“…Several studies have correlated the mechanical properties of UHTCs with influential parameters through analytical models. Skripnyak et al 23 . have developed analytical models to predict Poisson's ratio, Young's modulus, and fracture toughness of boron‐based UHTCs in relation to the testing temperature.…”

Section: Introductionmentioning

confidence: 99%

“…Several studies have correlated the mechanical properties of UHTCs with influential parameters through analytical models. Skripnyak et al 23 have developed analytical models to predict Poisson's ratio, Young's modulus, and fracture toughness of boron-based UHTCs in relation to the testing temperature. Li et al 24 have correlated fracture toughness of HfB 2 , TiC, and ZrB 2 with the testing temperature through thermodynamic theories (i.e., energy changes for work and heat transfer).…”

Section: Introductionmentioning

confidence: 99%

Predicting mechanical properties of ultrahigh temperature ceramics using machine learning

et al. 2022

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Ultrahigh temperature ceramics (UHTCs) have melting points above 3000°C and outstanding strength at high temperatures, thus making them apposite structural materials for high‐temperature applications. Di‐borides, nitride, and carbide compounds—processed via various techniques—have been extensively studied and used in the manufacture of UHTCs. Current analytical models, based on our current but incomplete understanding of the theory, are unable to produce a priori predictions of mechanical properties of UHTCs based on their mixture designs and processing parameters. As a result, researchers have to rely on experiments—which are often costly and time‐consuming—to understand composition–structure–performance links in UHTCs. This study employs machine learning (ML) models (i.e., random forest and artificial neural network models) to predict Young's modulus, flexural strength, and fracture toughness of UHTCs in relation to a wide range of mixture designs, processing parameters, and testing conditions. Outcomes demonstrate that adequately trained ML models can yield reliable predictions, a priori, of the three aforesaid mechanical properties. The prediction performance on Young's modulus is superior to flexural strength and fracture toughness. Next, the ML model with the best prediction performance is utilized to evaluate and rank the impacts of input variables on Young's modulus. Finally, on the basis of such classification of consequential and inconsequential input variables, this study develops an easy‐to‐use, closed‐form analytical model to predict Young's modulus of UHTCs. Overall, this study highlights the ability of data‐driven numerical models to complement, or even replace, time‐consuming experiments, thereby accelerating the development of UHTCs.

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Predicting the mechanical properties of ultra-high temperature ceramics

Cited by 16 publications

References 16 publications

Formation of Thick Immersion Coatings and Residual Stress Evaluation in the System ZrB2–ZrO2: Experimental and Numerical Investigation

Formation of Thick Immersion Coatings and Residual Stress Evaluation in the System ZrB2–ZrO2: Experimental and Numerical Investigation

Engineered Role of SiC Particle Size on Multi‐Length‐Scale Wear Damage of Spark Plasma Sintered Zirconium Diboride

Predicting mechanical properties of ultrahigh temperature ceramics using machine learning

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