极值顶点设计在3d打印轻质高熵合金/B4C/ZrO2/钛三杂化航空复合材料成分优化中的适用性

IF 1.9 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Mathematical & Computational Applications Pub Date : 2023-04-03 DOI:10.3390/mca28020054
A. Akinwande, D. Moskovskikh, E. Romanovskaia, O. Balogun, J. Kumar, V. Romanovski
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引用次数: 2

摘要

最近的研究表明,利用陶瓷颗粒作为增强金属合金的好处;然而,某些缺点,包括延性损失,脆化和韧性下降,已被注意到。为了获得平衡的性能,专家们建议在陶瓷增强剂中添加金属颗粒作为补充。因此,高性能的金属混杂复合材料得到了发展。然而,在开发的复合材料的最优性能方面,实现增强组合的最优配合比仍然是一个挑战。本研究旨在确定Al50Cu10Sn5Mg20Zn10Ti5轻质高熵合金(LHEA)、B4C和ZrO2的最佳混合物,用于直接激光沉积制备三杂化钛复合材料。实验设计中包含了混合设计,并对实验数据进行了建模和优化,以实现三混杂复合材料的最佳性能。实验结果的方差分析、响应面图和三元图分析表明,不同的增强颗粒组合表现出不同的响应趋势。此外,分析表明,这些增强对响应的幅度和趋势有显著贡献。所建立的模型能够预测反应,最佳配方为8.4% LHEA, 1.2% B4C和2.4% ZrO2。
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Applicability of Extreme Vertices Design in the Compositional Optimization of 3D-Printed Lightweight High-Entropy-Alloy/B4C/ZrO2/Titanium Trihybrid Aero-Composite
Recent studies have shown the benefits of utilizing ceramic particles as reinforcement in metal alloys; nevertheless, certain drawbacks, including loss of ductility, embrittlement, and decreases in toughness, have been noted. For the objective of obtaining balanced performance, experts have suggested the addition of metal particles as supplement to the ceramic reinforcement. Consequently, high-performance metal hybrid composites have been developed. However, achieving the optimal mix for the reinforcement combination with regards to the optimal performance of developed composite remains a challenge. This research aimed to determine the optimal mixture of Al50Cu10Sn5Mg20Zn10Ti5 lightweight high-entropy alloy (LHEA), B4C, and ZrO2 for the fabrication of trihybrid titanium composites via direct laser deposition. A mixture design was involved in the experimental design, and experimental data were modeled and optimized to achieve the optimal performance of the trihybrid composite. The ANOVA, response surface plots, and ternary maps analyses of the experimental results revealed that various combinations of reinforcement particles displayed a variety of response trends. Moreover, the analysis showed that these reinforcements significantly contributed to the magnitudes and trends of the responses. The generated models were competent for predicting response, and the best formulation consisted of 8.4% LHEA, 1.2% B4C, and 2.4% ZrO2.
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来源期刊
Mathematical & Computational Applications
Mathematical & Computational Applications MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
自引率
10.50%
发文量
86
审稿时长
12 weeks
期刊介绍: Mathematical and Computational Applications (MCA) is devoted to original research in the field of engineering, natural sciences or social sciences where mathematical and/or computational techniques are necessary for solving specific problems. The aim of the journal is to provide a medium by which a wide range of experience can be exchanged among researchers from diverse fields such as engineering (electrical, mechanical, civil, industrial, aeronautical, nuclear etc.), natural sciences (physics, mathematics, chemistry, biology etc.) or social sciences (administrative sciences, economics, political sciences etc.). The papers may be theoretical where mathematics is used in a nontrivial way or computational or combination of both. Each paper submitted will be reviewed and only papers of highest quality that contain original ideas and research will be published. Papers containing only experimental techniques and abstract mathematics without any sign of application are discouraged.
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