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耗散能量对选定金属基材上冷喷涂钛涂层结合强度的影响。

Influence of Dissipated Energy on the Bonding Strength of Cold-Sprayed Titanium Coatings on Selected Metallic Substrates.

作者信息

Makrenek Medard

机构信息

Faculty of Management and Computer Modelling, Kielce University of Technology, 25-314 Kielce, Poland.

出版信息

Materials (Basel). 2025 Jul 17;18(14):3355. doi: 10.3390/ma18143355.

Abstract

Modern nanoindentation equipment allows for highly precise measurements of mechanical properties such as hardness and elastic modulus, generating detailed load-unload curves using advanced techniques and specialised software. In this study, titanium coatings were deposited on various metallic substrates using cold gas spraying. Before deposition, the spraying parameters (temperature, pressure, velocity, and distance) were statistically optimised using the Taguchi method, reducing the number of experiments required from 81 to 9. This approach allowed the identification of optimal spray conditions (T = 731.0 °C, p = 33.0 bar, V = 343.6 mm/s, d = 35.5 mm), which were then applied to substrates including brass, steel, titanium, Al7075, copper, magnesium, and Al2024. Mechanical characterisation included hardness (H), reduced modulus (E), coating adhesion, and dissipated energy, calculated from the area of the load-unload hysteresis loop. Each coating-substrate combination underwent 36 nanoindentation tests, and adhesion was evaluated by pull-off tests. The initial results showed a poor correlation between adhesion and conventional mechanical properties (χ of 17.1 for hardness and 16.2 for modulus, both with R < 0.24). In contrast, the dissipated energy showed an excellent correlation with adhesion (χ = 0.52, R = 0.92), suggesting that dynamic deformation mechanisms better describe bonding. This introduces a new perspective to predict and optimise cold-spray adhesion in industrial applications.

摘要

现代纳米压痕设备能够高精度测量硬度和弹性模量等力学性能,利用先进技术和专业软件生成详细的加载-卸载曲线。在本研究中,采用冷气体喷涂在各种金属基底上沉积钛涂层。在沉积之前,使用田口方法对喷涂参数(温度、压力、速度和距离)进行了统计优化,将所需的实验次数从81次减少到9次。这种方法确定了最佳喷涂条件(T = 731.0 °C,p = 33.0 bar,V = 343.6 mm/s,d = 35.5 mm),然后将其应用于包括黄铜、钢、钛、Al7075、铜、镁和Al2024在内的基底。力学表征包括硬度(H)、约化模量(E)、涂层附着力和耗散能量,耗散能量由加载-卸载滞后回线的面积计算得出。每种涂层-基底组合都进行了36次纳米压痕测试,并通过拉伸试验评估附着力。初步结果表明,附着力与传统力学性能之间的相关性较差(硬度的χ为17.1,模量的χ为16.2,两者的R均< 0.24)。相比之下,耗散能量与附着力显示出极好的相关性(χ = 0.52,R = 0.92),这表明动态变形机制能更好地描述结合情况。这为工业应用中预测和优化冷喷涂附着力引入了一个新的视角。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be06/12300165/92ea1ed64ffc/materials-18-03355-g001.jpg

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