Optimization of the thermophysical properties of the thermal barrier coating materials based on GA-SVR machine learning method: illustrated with ZrO2 doped DyTaO4 system

It is a critical issue to reduce the thermal conductivity and increase the thermal expansion coefficient of ceramic thermal barrier coating (TBC) materials in the course of their utilization. To synthesize samples with different composition and measure their thermal conductivity by the traditional e...

وصف كامل

التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Materials Research Express
المؤلفون الرئيسيون:	Wenjie Zhu, Mengdi Gan, Bo Ye, Xin Xiong, Jing Feng, Xiaoyu Chong
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	IOP Publishing 2021-01-01
الموضوعات:	thermal barrier coating materials rare earth tantalates thermal conductivity thermal expansion coefficient GA-SVR machine learning model thermal barrier coating materials; rare earth tantalates; thermal conductivity; thermal expansion coefficient
الوصول للمادة أونلاين:	https://doi.org/10.1088/2053-1591/ac3d5b