用冷烧结工艺模拟ZnO的烧结轨迹

IF 9.3 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Acta Materialia Pub Date : 2025-05-15 Epub Date: 2025-03-24 DOI:10.1016/j.actamat.2025.120974
Nicolas Albar , Charles Manière , Thomas Hérisson de Beauvoir , Emeric Sanchez , Geoffroy Chevallier , Alicia Weibel , Claude Estournès
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引用次数: 0

摘要

最近的研究表明,在醋酸存在下,用冷烧结工艺致密化ZnO的表观活化能比用火花等离子烧结同样干燥的原料粉降低了四倍。在此基础上,首次建立了冷烧结法制备氧化锌的烧结曲线模型。将载荷烧结模型应用于冷烧结过程,可以通过模拟实验烧结曲线来预测材料的微观组织(密度和晶粒尺寸)。确定了关键的烧结参数(致密化机制和晶粒生长活化能、蠕变规律应力指数、蠕变规律晶粒尺寸敏感性指数),探讨了ZnO在醋酸中冷烧结过程中所涉及的机理。
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Modeling the sintering trajectory of ZnO by cold sintering process
It was recently demonstrated that the apparent activation energy for densifying ZnO by Cold Sintering Process in the presence of acetic acid was reduced by a factor of four compared to Spark Plasma Sintering of the same dry raw powder. Building on this study, the sintering curves of zinc oxide sintered by Cold Sintering Process are modeled for the first time. By applying load sintering models to Cold Sintering Process, it is possible to predict microstructures (densities and grain sizes) through simulating the experimental sintering curves. Key sintering parameters (activation energy of densification mechanisms and grain growth, creep law stress exponent, creep law grain size sensitivity exponent) are determined, enabling a discussion of the mechanisms involved during the Cold Sintering Process of ZnO in acetic acid.
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来源期刊
Acta Materialia
Acta Materialia 工程技术-材料科学:综合
CiteScore
16.10
自引率
8.50%
发文量
801
审稿时长
53 days
期刊介绍: Acta Materialia serves as a platform for publishing full-length, original papers and commissioned overviews that contribute to a profound understanding of the correlation between the processing, structure, and properties of inorganic materials. The journal seeks papers with high impact potential or those that significantly propel the field forward. The scope includes the atomic and molecular arrangements, chemical and electronic structures, and microstructure of materials, focusing on their mechanical or functional behavior across all length scales, including nanostructures.
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