Formation of surface layers from highly entropic materials with shape memory effect

Z. Blednova, P. Rusinov
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引用次数: 6

Abstract

To expand the practical use of high-entropy and material with shape memory effect (SME), we have developed a technology to form functionally oriented surface layers with five and six-component powder compositions CoCuTiZrHf, NiCoTiZrHf, NiCuTiZrHf, ZrCuNiCoTi, TiNiZrHfCoCu. The coatings were deposited under conditions of high-energy effects, including mechanical activation of the applied material, high-velocity oxygen-fuel spraying in a chamber with argon, followed by thermomechanical treatment in a single technological cycle on the patented equipment. Electron-microscopic and X-ray diffraction studies have shown that the obtained coatings correspond to SME materials with a grain size of 80–400 nm. In accordance with energy criterion, we have predicted the cyclic durability of steel samples with a surface layer made of multicomponent SME materials. We took into account the energy intensity of the coating material and the structural factor. The energy intensity of the alloy is determined by the thermodynamic characteristics and the state diagram of the systems. The structural factor is based on the analysis of the structural-phase state by the method of multifractal parametrization taking into account homogeneity, fractal dimensionality, adaptability.To expand the practical use of high-entropy and material with shape memory effect (SME), we have developed a technology to form functionally oriented surface layers with five and six-component powder compositions CoCuTiZrHf, NiCoTiZrHf, NiCuTiZrHf, ZrCuNiCoTi, TiNiZrHfCoCu. The coatings were deposited under conditions of high-energy effects, including mechanical activation of the applied material, high-velocity oxygen-fuel spraying in a chamber with argon, followed by thermomechanical treatment in a single technological cycle on the patented equipment. Electron-microscopic and X-ray diffraction studies have shown that the obtained coatings correspond to SME materials with a grain size of 80–400 nm. In accordance with energy criterion, we have predicted the cyclic durability of steel samples with a surface layer made of multicomponent SME materials. We took into account the energy intensity of the coating material and the structural factor. The energy intensity of the alloy is determined by the thermodynam...
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具有形状记忆效应的高熵材料形成表面层
为了扩大具有形状记忆效应(SME)的高熵材料的实际应用,我们开发了一种用五组分和六组分粉末成分CoCuTiZrHf, NiCoTiZrHf, NiCuTiZrHf, ZrCuNiCoTi, TiNiZrHfCoCu形成功能取向表面层的技术。涂层是在高能条件下沉积的,包括应用材料的机械活化,在氩气室中高速氧燃料喷涂,然后在专利设备上进行单一工艺循环的热处理。电子显微镜和x射线衍射研究表明,所获得的涂层符合晶粒尺寸为80-400 nm的SME材料。根据能量准则,对表层由多组分SME材料构成的钢试件进行了循环耐久性预测。我们考虑了涂层材料的能量强度和结构因素。合金的能量强度由系统的热力学特性和状态图决定。结构因子是在考虑均匀性、分形维数、适应性等因素的基础上,采用多重分形参数化方法对结构相状态进行分析。为了扩大具有形状记忆效应(SME)的高熵材料的实际应用,我们开发了一种用五组分和六组分粉末成分CoCuTiZrHf, NiCoTiZrHf, NiCuTiZrHf, ZrCuNiCoTi, TiNiZrHfCoCu形成功能取向表面层的技术。涂层是在高能条件下沉积的,包括应用材料的机械活化,在氩气室中高速氧燃料喷涂,然后在专利设备上进行单一工艺循环的热处理。电子显微镜和x射线衍射研究表明,所获得的涂层符合晶粒尺寸为80-400 nm的SME材料。根据能量准则,对表层由多组分SME材料构成的钢试件进行了循环耐久性预测。我们考虑了涂层材料的能量强度和结构因素。合金的能量强度由热力学决定。
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