Papers by Keyword: Granularity

Abstract: A set of pilot experiments to improve pelletizing through the use of the sinter charge humidification of water-soluble organic surface-active agents (surfactants) has been performed in the sintering plant JSC "Ural Steel". It has been found that the surfactant use provides an improved granularity of the sinter charge and increases its gas permeability during sintering that ensures a better technology and quality. The maximum efficiency from the surfactant use is manifested in the area of the optimum moisture content of the sinter charge (7 – 8 %) at a flow rate of the experimental binder 1.2-1.6 l/h (surfactant concentration in an aqueous solution is 0.3 – 0.4 ml/l).

Abstract: The article presents results of the granulometric composition of chip particles when sanding wood (beech) and wood-based materials (particleboard and semi-hardboard) using different types of sanders – wide belt sander, narrow belt sander, and hand sander. On the basis of the carried out sieve analyses, the proportion of produced particles, which can be marked as dust with the particle size of ≤ 80 μm, is high at the interval from 89.21% - 96.29 %. The highest percentage of dust particles was reached at dust from the hand disk sander. At the end of the article we point to possible technical safety measures – additional dust exhausting, suction, to possibly reduce the dust getting to the working environment.

Abstract: To extend the flexibility of data integrity verification method,adapted to the different verification environment, proposed an improved solution that can support multi-granularity.It organizes files into three kinds of granularity such as data blocks,data sub-blocks and basic-blocks,basic-block realize data gathered to form data sub-block.Sign in the data sub-block,using signature of the sub-block to generate signature of block. Improvement program can achieve the verification of data blocks and sub-blocks. Validation of data block can reduce the data traffic in the validation process,two particle combination can improve the overall efficiency.In the proposed layered merkel hash tree is put forward,the dynamic operation can be supported by the sub-block or the block.Securitycommunication performance analysis show that the improvement program is effective and has a better practicability

Abstract: We have synthesized Ru₁Sr₂Gd_2-xCe_xCu₂O₁₀ (Ru-1222) materials using several concentrations of Ce. All ruthenocuprate compounds have been characterised by using standard X-ray diffraction (XRD) and Scanning Electron Micrographs (SEM). The concentration of Ce affects transport properties drastically. Compounds with x=0.5 remain nonsuperconducting with moderate resistivity even after annealing in different conditions. Enormous change in the normal state resistivity has been observed in different annealing conditions of Ru-1222 with x=0.5. Superconducting properties have been observed in compounds with x=0.65. The highest critical temperature obtained is 27.5K for x=0.65. In addition, the duration of annealing in flowing oxygen is found to be effective in changing the normal state resistivity for x=0.65.

Abstract: This paper makes use of knowledge granular to present a new method to mine rules based on granule. First, use the measure to measure the importance of attribute, and get the granularity of the universe, and then repeat this procedure to every granule of the granularity, until the decision attribute has only one value for all granules, then we will describe every granule to get the rule. The analysis of the algorithm and the experiment show that the method presented is effective and reliable.Classification rules is the main target of association rule,decision tree and rough sets.a new algorithm to mine classification rules based on the importance of attribute value supported.this algorithm views the importance as the number of tuple pair that can be discernible by it,and the rules obtained from the constructed decision tree is equivalent to those obtained from ID3,which can be proved by the idea of rule fusion.however, this method is of low computation,and is more suitable to large database . rough sets is a techniques applied to data mining problems. This paper presents a new method to extract efficiently classification rules from decision table. The new model uses rough set theory to help in decreasing the computational effort needed for building decision tree by using what is called reduct algorithm and a rules set (knowledge) is generated from the decision table. reliable classifier architecture is obtained and its effectiveness is verified by the experiments comparing with traditional rough set approaches. Data mining research has made much effort to apply various mining algorithms efficiently on large databases.

Abstract: Splintering substance while using particle screening or grading equipment for screening of particle processing at the same time can meet the needs of the production process Cost-effectively .With screening or grading equipment with mill use, we can use a single parameter,two-parameter and multi-parameter three ways respectively. In this article, we report our theoretical analysis on the conditions of a single parameter, two-parameter and multi-parameter control.

Abstract: In order to explore the influence factors of permeability during heap leaching of Yangla copper ore in China, falling head permeability test was applied to draw a comparison between the permeability of various samples, and then permeability evolutionary law of the sample ore from leaching heap was analyzed under different ore size or compaction degree. Finally, acid leaching experiments was carried out to reveal the influential mechanism of heap blockage on its permeability. The data show that the permeability coefficient of washed ore is 12.7 times than that of raw ore; permeability coefficient with the compaction degree 38.3% is only 3.78% of that in natural state; Chemical blockage brings about a fall of permeability coefficient by 93.5%, and earlier physical blockage leads to the decrease of it by 43.2%. Results show that much argillaceous fine particles in ore heap with high mud content can result in decreased permeability coefficient; and permeability coefficient of the samples decreases significantly with increased compaction degree. In addition, chemical blockage is the main reason for penetration deterioration.

Abstract: Based on difference of Mn，Fe and Mo vapor pressure，Fe-Mn，Fe-Mo alloys were added into induction furnace and steelmaking dust was collected during smelting process，whose granularity was analyzed by granulometer，microscopic structure and energy spectrum were analyzed by SEM to study characteristics of dust and ulteriorly to explore mechanism of dust generation. It was showed that the mechanism of dust generation was “evaporation theory” and “bubble theory”，dust lied in evaporation had uniform distribution，granularity and element distribution，Mn/Fe ratio of dust was larger than that in molten pool. However, dust caused by spitting or bubbles from molten metal surface had remarkable aggregation，nonuniform granularity and element segregation，Mn/Fe ratio was equal to that in molten pool.

Abstract: In this paper, the relativity on the granularity with different mesh of konjac glucomannan (KGM) and molecular dimension was discussed. Laser particle size analyzer, laser light scattering and digital polarimeter were used to analyze the granularity distribution, molecular characteristics and polarity of KGM. The results showed that the granularity of KGM after gradient refining was gradually decreased and KGM was well dispersed in ethanol(D50=13.11μm).The Mw of KGM was gradually decreased with its granularity decrease and its molecular conformation was from globular to linear structure. The space asymmetry of KGM at 80-100 meshes was minimum and its polarity was maximum. The primary establishment on the relativity offered the references to KGM theoretical research and practical application.

Abstract: Fly ash from the municipal solid waste incineration (MSWI) which contains a small amount of heavy metals becomes a threat to human health and other living organisms once emitted into the environment, and has to be treated before disposal. This study focuses on the characteristics of the MSWI fly ash, which involve mineral composing, granularity distributing, specific surface area, pore diameter and pore volume of fly ash, leaching toxicity and chemical species of heavy metals. The experiment results confirm that the fly ashes are mainly composed of sylvite, halite, portlandite and calcium sulfate hydrate, with the the average particle diameter of 15.082 μm and the specific surface area of 4.290 m²/g, and the heavy metals such as Pb, Cu, Cr in the MSWI fly ash are mobile except Hg. This research provides critical information for appropriate MSWI fly ash treatment technology.