Progress and trends in non-destructive testing for thermal barrier coatings based on infrared thermography: A review

J Zhu, Z Mao, D Wu, J Zhou, D Jiao, W Shi… - Journal of …, 2022 - Springer
Thermal barrier coatings (TBCs), as effective thermal protection separating the substrate
from high-temperature combustion gases and reducing the substrate temperature, are …

Advances in thermal barrier coatings modeling, simulation, and analysis: A review

A Ashofteh, M Rajabzadeh - Journal of the European Ceramic Society, 2024 - Elsevier
This review presents an approach to traditional and advanced modeling, simulation, and
analysis techniques in the context of thermal barrier coatings (TBCs), augmented by AI …

In-situ infrared thermographic inspection for local powder layer thickness measurement in laser powder bed fusion

T Liu, CS Lough, H Sehhat, YM Ren… - Additive …, 2022 - Elsevier
The laser powder bed fusion (LPBF) process is strongly influenced by the characteristics of
the powder layer, including its thickness and thermal transport properties. This paper …

Automatic defect detection in infrared thermography by deep learning algorithm

Q Fang, BD Nguyen, CI Castanedo… - Thermosense …, 2020 - spiedigitallibrary.org
Non-destructive Evaluation (NDE) is a field that is used to identify all kinds of structural
damage in an object of interest without resulting in any permanent damage or modification …

Maximizing the detection of thermal imprints in civil engineering composites via numerical and thermographic results pre-processed by a groundbreaking …

S Sfarra, A Cicone, B Yousefi, S Perilli, L Robol… - International Journal of …, 2022 - Elsevier
New composite materials are always subjected to non-destructive evaluation (NDE) prior to
being placed on the market. This is to fully understand the reactions (ie, development of …

Optimizing the hardness of SLA printed objects by using the neural network and genetic algorithm

G Hu, Z Cao, M Hopkins, C Hayes, M Daly, H Zhou… - Procedia …, 2019 - Elsevier
In the developing field of manufacturing, 3D printing is rapidly increasing the horizon of what
is possible. However, the possibility of implementing new 3D methods of production has …

Accuracy of a reference-free Monte Carlo approach for SEM-EDS thickness assessment of TiN coatings onto diverse substrates

JPN Cruz, CM Garzón, JK Noreña, F Pineda… - Micron, 2022 - Elsevier
Energy dispersive spectroscopy (EDS) experiments were carried out in the scanning
electron microscope (SEM) on top of either stainless steel (SS), silicon or glass substrates …

Optimization of Thickness of YSZ Coating on an Aluminium Piston in IC Engines Using a Genetic Algorithm Approach

MA Shafeeq, S Jajimoggala, S Shabana - Journal of Bio-and Tribo …, 2024 - Springer
Huge increase in the demand for better durability and efficiency in engines necessitated the
usage of thermal barrier coatings on the piston which reduces the damage due to heat and …

[PDF][PDF] 数据驱动的航空发动机材料设计研究进展

袁睿豪, 廖玮杰, 唐斌, 樊江昆, 王军, 寇宏超, 李金山 - 航空制造技术, 2021 - amte.net.cn
数据驱动的材料设计模式已经广泛应用于材料科学研究中, 以加速新材料从研发到应用的进程.
机器学习技术能够挖掘数据中存在的潜在模式或规律, 是数据驱动材料设计模式的研究关键和 …

[PDF][PDF] 基于原位声发射信号的热障涂层三点弯曲失效模式的机器学习

曹枝军, 袁建辉, 苏怀宇, 万家宝, 苏佳卉… - Journal of the …, 2023 - researching.cn
由于热障涂层体系结构的复杂和服役环境的恶劣, 极易导致涂层发生界面分层,
宏观断裂和剥落失效. 首先利用声发射技术实时监测了热障涂层在三点弯曲载荷下的失效过程 …