Influence of microstructural parameters on thermal cycling behavior of DVC-TBC systems

IF 6.1 2区 材料科学 Q1 MATERIALS SCIENCE, COATINGS & FILMS Surface & Coatings Technology Pub Date : 2025-02-05 DOI:10.1016/j.surfcoat.2025.131881
Giulia Pedrizzetti , Erica Scrinzi , Elvira Giubbolini , Rita Bottacchiari , Laura Paglia , Francesco Marra , Giovanni Pulci
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Abstract

This study presents a novel approach to characterizing crack distribution and bond coat roughness in Thermal Barrier Coatings (TBCs) with dense vertically cracked (DVC) top coats and MCrAlY bond coats, aiming to correlate microstructural features with durability and failure mechanisms. A MATLAB®-based image analysis routine was developed to extract microstructural and morphological features from BSE-SEM micrographs. A novel parameter, the equivalent through-the-thickness crack density (ρ*ttc), was introduced to provide a more accurate representation of crack distribution compared to conventional crack density. Additionally, standard (Ra, Rsm) and advanced (Rdq, Rdr) surface descriptors were calculated directly from SEM micrographs. TBCs with CoNiCrAlY bond coats were deposited on single-crystal and polycrystalline nickel-based superalloys and thermal cycling resistance was investigated with furnace cycle tests (FCT) at 1150 °C and 1100 °C. FCT at 1150 °C revealed that higher ρ*ttc correlated with improved thermal cycling resistance due to enhanced strain tolerance, while conventional crack density showed no clear link to durability. Similarly, bond coat roughness analysis demonstrated that higher surface tortuosity, quantified by Rdr, associates with extended TBC lifespan by improving mechanical interlocking and stress dissipation. Additionally, a new non-destructive technique for real-time damage assessment using automatic thermographic image analysis was introduced. FCT at 1100 °C confirmed that coatings with higher ρ*ttc and Rdr exhibit superior resistance to delamination cracks propagation, whereas lower values result in less effective strain tolerance and stress dissipation mechanisms.
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微观结构参数对DVC-TBC体系热循环行为的影响
本研究提出了一种新的方法来表征具有密集垂直裂纹(DVC)面涂层和MCrAlY粘结层的热障涂层(tbc)的裂纹分布和粘结层粗糙度,旨在将微观结构特征与耐久性和失效机制联系起来。开发了基于MATLAB®的图像分析程序,用于从BSE-SEM显微图像中提取微观结构和形态特征。引入了一个新的参数,即等效穿透厚度裂纹密度(ρ*ttc),与传统的裂纹密度相比,可以更准确地表示裂纹分布。此外,标准(Ra, Rsm)和高级(Rdq, Rdr)表面描述符直接从SEM显微图中计算。在镍基单晶和多晶高温合金上沉积了带有CoNiCrAlY粘结层的镍基高温合金,并在1150°C和1100°C下进行了热循环性能测试。在1150°C时的FCT结果表明,较高的ρ*ttc与提高的热循环阻力相关,因为应变容限增强,而常规裂纹密度与耐久性没有明显的联系。同样,粘合层粗糙度分析表明,较高的表面弯曲度(由Rdr量化)可以通过改善机械联锁和应力消散来延长TBC的使用寿命。此外,还介绍了一种基于自动热成像图像分析的无损实时损伤评估技术。1100℃时的FCT结果表明,ρ*ttc和Rdr较高的涂层具有较好的抗分层裂纹扩展能力,而ρ*ttc和Rdr较低的涂层具有较差的应变容限和应力消散机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Surface & Coatings Technology
Surface & Coatings Technology 工程技术-材料科学:膜
CiteScore
10.00
自引率
11.10%
发文量
921
审稿时长
19 days
期刊介绍: Surface and Coatings Technology is an international archival journal publishing scientific papers on significant developments in surface and interface engineering to modify and improve the surface properties of materials for protection in demanding contact conditions or aggressive environments, or for enhanced functional performance. Contributions range from original scientific articles concerned with fundamental and applied aspects of research or direct applications of metallic, inorganic, organic and composite coatings, to invited reviews of current technology in specific areas. Papers submitted to this journal are expected to be in line with the following aspects in processes, and properties/performance: A. Processes: Physical and chemical vapour deposition techniques, thermal and plasma spraying, surface modification by directed energy techniques such as ion, electron and laser beams, thermo-chemical treatment, wet chemical and electrochemical processes such as plating, sol-gel coating, anodization, plasma electrolytic oxidation, etc., but excluding painting. B. Properties/performance: friction performance, wear resistance (e.g., abrasion, erosion, fretting, etc), corrosion and oxidation resistance, thermal protection, diffusion resistance, hydrophilicity/hydrophobicity, and properties relevant to smart materials behaviour and enhanced multifunctional performance for environmental, energy and medical applications, but excluding device aspects.
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