Anyin Qi^1,#, Xiaonan Yan^1,#, Yuqing Liu^1,#, Qingchen Zeng¹, Hang Yuan¹, Huange Huang¹, Chenggang Liang², Dabing Xiang¹, Liang Zou¹, Lianxin Peng¹, Gang Zhao¹, Jingwei Huang^1,*, Yan Wan^1,*

Phyton-International Journal of Experimental Botany, Vol.93, No.1, pp. 1-13, 2024, DOI:10.32604/phyton.2023.045802 - 26 January 2024

Abstract

Aluminum (Al) toxicity is a considerable factor limiting crop yield and biomass in acidic soil. Tartary buckwheat growing in acidic soil may suffer from Al poisoning. Here, we investigated the influence of Al stress on the growth of tartary buckwheat seedling roots, and the alleviation of Al stress by silicon (Si), as has been demonstrated in many crops. Under Al stress, root growth (total root length, primary root length, root tips, root surface area, and root volume) was significantly inhibited, and Al and malondialdehyde (MDA) accumulated in the root tips. At the same time, catalase (CAT)

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Hongxia Wang^1,2, Zhiqiang Duan², Qingwei Guo², Yongmei Zhang^1,2,*, Yuhong Zhao^2,3,4,*

CMC-Computers, Materials & Continua, Vol.77, No.2, pp. 1393-1409, 2023, DOI:10.32604/cmc.2023.045871 - 29 November 2023

Abstract Due to the large unexplored compositional space, long development cycle, and high cost of traditional trial-anderror experiments, designing high strength aluminum-lithium alloys is a great challenge. This work establishes a performance-oriented machine learning design strategy for aluminum-lithium alloys to simplify and shorten the development cycle. The calculation results indicate that radial basis function (RBF) neural networks exhibit better predictive ability than back propagation (BP) neural networks. The RBF neural network predicted tensile and yield strengths with determination coefficients of 0.90 and 0.96, root mean square errors of 30.68 and 25.30, and mean absolute errors of More >

Wei Li^1,2, Benjian Zou¹, Yuxiang Luo², Ning Yang², Faye Zhang^1,*, Mingshun Jiang¹, Lei Jia¹

Structural Durability & Health Monitoring, Vol.17, No.6, pp. 485-500, 2023, DOI:10.32604/sdhm.2023.025989 - 17 November 2023

Abstract As a critical structure of aerospace equipment, aluminum alloy stiffened plate will influence the stability of spacecraft in orbit and the normal operation of the system. In this study, a GWO-ELM algorithm-based impact damage identification method is proposed for aluminum alloy stiffened panels to monitor and evaluate the damage condition of such stiffened panels of spacecraft. Firstly, together with numerical simulation, the experimental simulation to obtain the damage acoustic emission signals of aluminum alloy reinforced panels is performed, to establish the damage data. Subsequently, the amplitude-frequency characteristics of impact damage signals are extracted and put… More >

Haiming Zhang^1,2,*, Shilin Zhao^1,2, Zhenshan Cui^1,2

The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.08884

Abstract Particle-reinforced aluminum matrix composites (PRAMCs) have great potential for application in aerospace, automobile, defense, and electronics due to their high specific strength and stiffness and good resistance to wear and corrosion. Achieving a superior trade-off between the strength and ductility of PRAMCs necessitates an elaborative control of the microstructures, like the size and distribution of particles, as well as grain size, morphology, and texture of the matrix. The multiscale interaction between the particles and the matrix’s microstructure is insufficiently understood due to the lagging of high-resolved in-situ characterization. This work proposes a nonlocal physically based… More >

Liang Yu^1,2,3, Yuan Liu^1,2,3, Xiuling Cao^4,*, Yulong Yan^1,2,3, Chen Zhang^1,2,3, Yanli Jiang^1,2,3,*

Journal of Renewable Materials, Vol.11, No.7, pp. 3057-3072, 2023, DOI:10.32604/jrm.2023.025732 - 05 June 2023

Abstract In this study, the effect of sintering temperature and the addition of kaolin, a sintering agent, on the microscopic, phase, and mechanical properties of ceramics were investigated using secondary aluminum dross (SAD) as the main component in the manufacturing of ceramics. The basic phases of the ceramics were Al₂O₃, MgAl₂O₄, NaAl₁₁O₁₇, and SiO₂ without the addition of kaolin. The diffraction peaks of MgAl₂O₄, NaAl₁₁O₁₇, and SiO₂ kept decreasing while those of Al₂O₃ kept increasing with an increase in temperature. In addition, the increase in temperature promoted the growth of the grains. The grains were uniform in size and regular… More > Graphic Abstract

Zhuoli Yang¹, Xianbin Hou², Leyang Dai^2,*

Journal of Renewable Materials, Vol.11, No.6, pp. 2941-2951, 2023, DOI:10.32604/jrm.2023.025723 - 27 April 2023

Abstract Plasma-assisted ball milling was carried out on the Al+C₃H₆N₆ system and Al+C₄H₄N₄ system, respectively. The phase structure, functional groups and synthesis mechanism were analyzed by XRD and FT-IR, and the differences in the synthesis process of nano-AlN with different solid nitrogen sources were discussed. The results show that C₃H₆N₆ has a stable triazine ring structure, and its chemical bond is firm and difficult to break, so AlN cannot be synthesized directly by solid-solid reaction at room temperature. However, there are a large number of nitrile groups (-CN) and amino groups (-NH2) in C₄H₄N₄ molecules. Under the combined… More >

Mustafa Sami Abdullatef^*, Faten N. Alzubaidi, Anees Al-Tamimi, Yasser Ahmed Mahmood

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.8, pp. 2083-2107, 2023, DOI:10.32604/fdmp.2023.027266 - 04 April 2023

Abstract The ongoing effort to create methods for detecting and quantifying fatigue damage is motivated by the high levels of uncertainty in present fatigue-life prediction approaches and the frequently catastrophic nature of fatigue failure. The fatigue life of high strength aluminum alloy 2090-T83 is predicted in this study using a variety of artificial intelligence and machine learning techniques for constant amplitude and negative stress ratios (). Artificial neural networks (ANN), adaptive neuro-fuzzy inference systems (ANFIS), support-vector machines (SVM), a random forest model (RF), and an extreme-gradient tree-boosting model (XGB) are trained using numerical and experimental input… More > Graphic Abstract

Huixin Zhu, Mingzhe Leng^*, Guofeng Jin^*, Heyang Miao

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.7, pp. 1907-1923, 2023, DOI:10.32604/fdmp.2023.025416 - 08 March 2023

Abstract When aluminum alloys are coupled with dissimilar materials, they often act as corrosion anodes and are suscepted to accelerated corrosion. Therefore, deepening our knowledge of such corrosion phenomena, related mechanisms, and elaborating new prediction model is of great theoretical and practical significance. In this paper, such mechanisms are explained from both macroscopic and microscopic points of view by considering several aspects such as the second phase particle type, grain size, and environmental ions. More specifically, different perspectives on such a problem are elaborated, which take into account: the properties of the coupling pair materials, geometrical… More >

Saher Manzoor¹, Muhammad Waseem Ashraf^1,*, Shahzadi Tayyaba², Muhammad Imran Tariq^3,*, M. Khalid Hossain⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.2, pp. 1007-1052, 2023, DOI:10.32604/cmes.2022.022093 - 27 October 2022

Abstract The progress of membrane technology with the development of membranes with controlled parameters led to porous membranes. These membranes can be formed using different methods and have numerous applications in science and technology. Anodization of aluminum in this aspect is an electro-synthetic process that changes the surface of the metal through oxidation to deliver an anodic oxide layer. This process results in a self-coordinated, exceptional cluster of round and hollow formed pores with controllable pore widths, periodicity, and thickness. Categorization in barrier type and porous type films, and different methods for the preparation of membranes,… More > Graphic Abstract

V. V. Nijil^*, P. Selvan

Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 1043-1062, 2023, DOI:10.32604/iasc.2023.028028 - 29 September 2022

Abstract Alternating Current–Direct Current (AC–DC) converters require a high value bulk capacitor or a filter capacitor between the DC–DC conversion stages, which in turn causes many problems in the design of a AC–DC converter. The component package size for this capacitor is large due to its high voltage rating and capacitance value. In addition, the high charging current creates more problems during the product compliance testing phase. The shelf life of these specific high value capacitors is less than that of Multilayer Ceramic Capacitors (MLCC), which limits its use for the highly reliable applications. This paper presents… More >