Thermal Shock Behavior of a Soda Lime Glass Treated by Ion Exchange

Bennouioua, T.; Malou, Z.; Hamidouche, M.; Fantozzi, Gilbert

doi:10.1134/s1087659620060048

Cited by 1 publication

(2 citation statements)

References 17 publications

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“…Since the 1950s, many scientists have carried out various experimental and fundamental studies on the thermal shock resistance of ceramic materials [2][3][4][5][6][7][8][9]. Nevertheless, the crack propagation resulting from thermal shock is a speedy and complex procedure for these materials.…”

Section: Introductionmentioning

confidence: 99%

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Critical thermal shock temperature prediction of alumina using improved hybrid models based on artificial neural networks and Shannon entropy

Fissah

Belghalem

Djeddou

et al. 2022

JMES

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This study investigates the potential of a simple and Hybrid artificial neural network (ANN) to predict dense alumina's critical thermal shock temperature (ΔTc). The predictive models have been constructed using two ANNS models (M1, M2). In the first model (M1), elaboration, physical and mechanical parameters have been exploited to build three ANNs, namely generalized linear regression (M1-GLRNN), extreme learning machine (M1-ELM), and radial basis function (M1-RBFNN). The second model (M2) has been built by the three models mentioned above incorporated by the Shannon Entropy (SE) method. To compare the performance of all the developed models, coefficient of correlation (R), root mean square error (RMSE), mean absolute percentage error (MAPE), and Nash-Sutcliffe efficiency coefficient (NSE) have been considered. It is found that M2-RBFNN model with (RMSE = 4.3526, MAPE= 0.3406, NSE = 0.9921, and R= 0.9960) had superiority to the M1-RBFNN model (RMSE = 4.7030, MAPE= 0.3003, NSE = 0.9908, and R = 0.9954). More importantly, the contribution of the present work is that prediction of ΔTc has been performed through the developed hybrid model (M2-RBFNN), which reduces the number of inputs from six to only four inputs and offers high accuracy for all the studied variables.

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Section: Introductionmentioning

confidence: 99%

“…The most commonly employed theories are the critical stress fracture theory [2] and the thermal shock damage theory [3]. It is essential to note that the thermal resistance properties of brittle materials such as alumina [4][5][6] and glass [7][8][9] have been extensively studied based on these two theories.…”

Section: Introductionmentioning

confidence: 99%