Papers by Keyword: Ordering

Abstract: Intelligent neural networks are used efficiently for image classification and recognition in various scientific areas. One of the most important of these areas is nanoscience. Researchers are currently seeking to apply various deep learning neural networks models for fast and intelligent prediction and recognition of nanostructures based on scanning electron microscopy images. Models of Deep Convolutional Neural Networks (DCNN) have reached a high accuracy rate in nanoparticles classification and recognition. In fact, the improvement of the classification accuracy strongly relies on the perfect fine-tuning of image data and model parameters and that is what this research has worked for. The aim of this paper is to present a model, specifically the VGG16 convolutional neural network model, for high accurate nanoparticles ordering classification. The model has been used to classify the nanoparticles ordering using a typical dataset of electron microscopy images. In this research, an experiment has been carried out to achieve better accuracy rate in comparison to previously recorded accuracy rates. Data augmentation, modification techniques, and model tuning parameters are applied to excess the ability of the model for classifying the input image to ordered or non-ordered nanoparticles. Compared to the related works, the presented model has outperformed the pervious by achieving an accuracy rate of 97%. In this work, it has been observed that training iterations and balanced training data significantly improve the model performance and enhance the accuracy rate.

Abstract: The study explores the thermo-physical properties of complex binary liquid potassium-lead alloy at temperature 848 K as a function of concentration by considering complex using different model equations. The Quasi Chemical approximation and the R-K equation are used to investigate features such as free energy, heat of mixing, chemical activity, and concentration fluctuation in the long wave limit at temperature of 848 K. However, at 900 K and 1000 K, these are exclusively examined using the R-K equation. The temperature dependent exponential interaction parameters proposed by Kaptay are taken into account in the RK equation. The study goes on to look at the alloy's viscosity and surface tension using the Budai-Benko-Kaptay model and the Kaptay's improved derivation of Butler equation. The mixing nature of the system is investigated in depth, with a focus on the interaction energy parameters between the alloy's surrounding atoms. The work investigates the fact that the liquid alloy has a moderately interacting as well as ordering character throughout a whole concentration range, and the computed theoretical thermodynamic facts are in reasonable agreement with the corresponding experimental data at 848 K. At greater temperatures, the alloy's tendency goes from ordering to segregating. The alloy's viscosity and surface tension decrease as the temperature rises.

Abstract: Either at higher temperatures or when a certain alloying element content is exceeded, γ-TiAl alloys contain the β phase (bcc) or its ordered derivate β_o (B2). The relatively soft β phase can facilitate hot deformation, but β_o is detrimental for creep strength and ductility. Thus, knowledge about β_o→β phase transformation is desirable. Surprisingly, even for the binary Ti-Al system it is under discussion whether the ordered β_o phase exists. Also, the effect of alloying elements on the β phase ordering is still unclear. In the present work the ordering of the β phase in binary Ti-(39,42,45)Al and ternary Ti-42Al-2X alloys (X=Fe, Cr, Nb, Ta, Mo) which was experimentally investigated by neutron and high energy X-ray diffraction is compared with the results of first principles calculations using density functional theory. Except for Cr the experimentally determined and the predicted behavior correspond.

Abstract: The microstructural evolution in Cu-1.5 wt % Ti alloy aged at 400 °C was investigated by high resolution electron microscopy (HREM). The hardness and electrical conductivity of this alloy have been also characterized. The electron metallographic results showed that the sequence of the decomposition in the studied Cu-1.5 wt % Ti alloy can be summarized as follows: a modulated structure resulting from spinodal clustering → formation of clusters and then ordered fcc phase → formation of LRO β’-Cu₄Ti which distributed periodically along the <100>_Cu directions. The ordered fcc phase showed a cube-on-cube OR with matrix, while the LRO β’-Cu₄Ti showed an orientation relationship of [001]_Cu//[001]_β’ and (310)_Cu//(100)_β’. After aging for 24 h, the hardness and electrical conductivity of this alloy reached 175 HV and 25.3 % IACS, respectively. The spinodal clustering is responsible for the hardening of the alloy during the initial 30 min aging. The ordered fcc phase and β’-Cu₄Ti phase makes a significant contribution to the strengthening of the alloy during the advanced stage of aging.

Abstract: Red-emitting RbLa₂Ti₂TaO₁₀:Eu³⁺ phosphors were synthesized by a conventional solid-state reaction method, and crystal structure and photoluminescence properties were investigated in the detail. RbLa₂Ti₂TaO₁₀ has tetragonal structure with a space group of P4/mmm, in which the B-site cations (Ta and Ti) are arranged into non-ordering sequence. The RbLa₂Ti₂TaO₁₀:Eu³⁺ phosphors exhibited strong red emission, which is due to the 4f-4f transitions of Eu³⁺, at excitation wavelength of 396 nm. The concentration quenching phenomena for RbLa₂Ti₂TaO₁₀:Eu³⁺ phosphors was investigated using percolation model with two-dimensional interactions among the Eu³⁺ sites in the host lattice. Both the critical concentration values with the calculation and experiment are estimated to be x = 0.3-0.4, which indicates that the concentration quenching for RbLa₂Ti₂TaO₁₀:Eu³⁺ phosphors was due to the energy transfer between the nearest Eu³⁺ ions in these compounds

Abstract: The paper is dedicated to the study of thermodynamic stability of tetragonal and cubic states of dilute Fe–C interstitial solid solutions. The combination of the thermodynamic theory and atomistic simulations results was used. This approach allowed us to analyze a widespread theory of carbon ordering in martensite crystal lattice enclosed in an elastic matrix developed by A.G. Khachaturyan. The key parameter of the theory is λ₀, the strain interaction parameter. The value of λ₀ calculated by A.G. Khachaturyan for a free martensite crystal (2.73 eV/atom ) yields the critical concentration of carbon c_crit=0,55 wt. % for room temperature. In fact, according to the experimental works this concentrations is close to 0.25 wt. %. A.G. Khachaturyan offered an improved theory of carbon ordering based on the assumption that decreasing the sizes of crystals along z axis will cause elastic resistance from surrounding crystals. The stresses arising when the martensite crystal is enclosed in an elastic matrix causes the appearance of a “tail” of order parameter at concentrations below the c_cr for free crystal, which explained the discrepancy between Khachaturian’s theory and the experimental data. However our analysis shows the absence of this “tail” that means incorrect calculation of λ₀ parameter. Over the last ten years the calculations of the strain interaction parameter λ₀ have been made. The values of the parameter λ₀ range from 5 to 10 eV/atom, in contrast to 2.73 eV/atom as defined by A.G. Khachaturyan. This fact has a great effect on the estimates of the critical carbon concentration at room temperature. This concentration becomes close to 0.2 wt. %, the value previously indicated by G.V. Kurdjumov. The reasons of abnormal tetragonality observed in the 0.2–0.6 wt. %C range are also considered.

Abstract: Grain growth in open systems is analyzed for the cases of flux-driven ripening during soldering, flux-driven lateral growth during deposition of thin films, flux-driven lateral growth during reactive growth of intermediate phase, flux-driven lateral growth of antiphase domains in FCC-phase A3B and BCC-phase AB during the diffusion growth of ordered phase layer.

Abstract: In this paper, a decision ma;king model for faulted equipment maintenance ordering is established using the theory of fuzzy mathematics, and also a new method of maintenance ordering is proposed. Example analysis proves that a good effect is achieved by this method.

Abstract: With the Rapid Development of Mobile Internet Technology, People Hope Access to Internet to get Information and Service Anywhere and Anytime Urgently. Catering Industry also Hopes to Expand the Scope of Business to Network. in this Paper, through the Requirement Analysis, Using the Currently Popular Android System as the Platform, the Authors Study the Mobile Ordering System Based on Android with the Help of Mobile Internet Technology. the System was Considered the Relationship between the Customers and the Sellers, had Established a Perfect Management Mode and Comprehensive Ordering Function, and Realized the Characteristic Function Based on Google Service. the System is Low Cost, Simple Operation, and Mobility. it Solves the Catering Industry’s Problems of High Cost on Manpower and Inconvenient Online Ordering.

Abstract: Abstract. In this paper, we modelled the phase transition between ferromagnetic and paramagneticstates in ultrathin films of different crystal structure near the percolation transition. Properties of ultrathinfilms have been studied within the framework of Ising model and the method of random-fieldinteraction. It is shown that the critical concentration of such phase transition depends on the symmetryof crystal lattice of the material. The increase in the film thickness leads to a decrease of the criticalconcentration up to a value of the percolation threshold of a massive sample of the correspondingcrystal structure.