394 research outputs found

    The Tools, Technology and Mathematical Model of Impactive Superficial Plastic Deformation of Metals

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    The paper shows scientific substantiation and practical confirmation of possibility, application expediency and efficiency of the ultrasonic superficial plastic deformation in zones of welded connections after performance of welding works. For this purpose, a mathematical model to the process of superficial plastic deformation is represented, as the hypercycle of loading consisting of elementary cycles – impacts, we described the standard measurement devices. The technology is intended to use the manufacturing and repair of any metal walls in places of dimensional and structural nonuniformity, such as mechanical defects or a local thinning of a surface owing to corrosion, and the microcracks. The microcracks is influenced by the external forces and become zones of concentration of mechanical tension. Hardening in such places of the pipes walls and tanks working under pressure is effective for pipelines of an oil and gas, water supply systems, and also for caissons and tanks of other appointment. The scopes of technology include the repair of river and sea vessels, objects of oil production. The technology can be applied to improvement of operational characteristics of mechanical engineering and transport details, objects of energetic and construction: surfaces of a rolling motion and sliding of machines and devices, wheels of a rolling stock of railway transport, a metalwork of support of power lines, platforms and bridges for increases in resistance of fatigue at cyclic loadings, wear resistance and corrosion

    Simulation control facility for temperature control systems

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    Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ рассмотрСна ΠΈΡΠΏΠΎΠ»Π½ΠΈΡ‚Π΅Π»ΡŒΠ½Π°Ρ Ρ‡Π°ΡΡ‚ΡŒ схСмы ΠΈΠΌΠΈΡ‚Π°Ρ‚ΠΎΡ€Π° ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π° контроля для Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… систСм контроля Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Ρ‹, ΠΏΡ€ΠΈΠ²Π΅Π΄Π΅Π½Π° схСма ΠΈΡΠΏΠΎΠ»Π½ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ части, Ρ‚Π°ΠΊ ΠΆΠ΅ рассмотрСн расчСт точности схСмы. Устройство позволяСт ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΡ‚ΡŒ ΠΎΡ‚Π»Π°Π΄ΠΊΡƒ ΠΈ ΠΏΡ€ΠΎΠ²Π΅Ρ€ΠΊΡƒ систСмы Π² Π»Π°Π±ΠΎΡ€Π°Ρ‚ΠΎΡ€Π½Ρ‹Ρ… условиях ΠΈ Π½Π° Π΄Π°Π½Π½Ρ‹ΠΉ ΠΌΠΎΠΌΠ΅Π½Ρ‚ примСняСтся для ΠΏΡ€ΠΎΠ²Π΅Ρ€ΠΊΠΈ Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠΉ систСмы контроля Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Ρ‹ Π½Π° АО «НПО Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠΊΠΈΒ».The article considers the executive part of the circuit simulator object control for automated temperature control systems, a diagram of the executive, also reviewed the accuracy of the calculation scheme. The device allows you to debug and test systems in the laboratory and is currently used to test the automated system to control the temperature of JSC "NPO Automation"

    Scattering of Dirac particles from non-local separable potentials: the eigenchannel approach

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    An application of the new formulation of the eigenchannel method [R. Szmytkowski, Ann. Phys. (N.Y.) {\bf 311}, 503 (2004)] to quantum scattering of Dirac particles from non-local separable potentials is presented. Eigenchannel vectors, related directly to eigenchannels, are defined as eigenvectors of a certain weighted eigenvalue problem. Moreover, negative cotangents of eigenphase-shifts are introduced as eigenvalues of that spectral problem. Eigenchannel spinor as well as bispinor harmonics are expressed throughout the eigenchannel vectors. Finally, the expressions for the bispinor as well as matrix scattering amplitudes and total cross section are derived in terms of eigenchannels and eigenphase-shifts. An illustrative example is also provided.Comment: Revtex, 9 pages, 4 figures, published versio

    Sonochemical Reactor Treating Drinking Water for Pigs

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    The article deals with the use of activated water for drinking of pigs. Moreover, is described a method sonochemical activation of water. Sonochemical activated water is devoid of own supramolecular structure and has a high solvent power similar to how a boiling water, while remaining virtually the same temperature, which was prior to treatment. It is shown that the water in a thermodynamically nonequilibrium state, in which abideth some time as a result of such treatment, and has bactericidal and bacteriostatic p roperties, which it retains long time. All this suggests that the hydration of biopolymers directly into the esophagus and stomach of animals during their drinking will give tangible effect. Given the description of the mechanisms of cavitational disintegrated of water and described in comparison reactors for water treatment. Said that a regulatory authority in Russia give permission to use sonochemical technologies and devices in the food industry. Described sonochemical reactor, designed specifically for use in drinking of pigs, which have a reduced noise level and power consumption, but with better performance

    Proposed Search for a00(980)βˆ’f0(980)a^0_0(980)-f_0(980) Mixing in Polarization Phenomena

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    The K+K^+ and K0K^0 meson mass difference induces the mixing of the a00(980)a^0_0(980) and f0(980)f_0(980) resonances, the amplitude of which, between the K+Kβˆ’K^+K^- and K0KΛ‰0K^0\bar K^0 thresholds, is large in magnitude, of the order of mKmK02βˆ’mK+2β‰ˆΞ±mK2 m_{K}\sqrt{m^2_{K^0}-m^2_{K^+}}\approx\sqrt\alpha m^2_K, and possesses the phase sharply varying by about 90∘^\circ. We suggest performing the polarized target experiments on the reaction Ο€βˆ’pβ†’Ξ·Ο€0n\pi^-p\to\eta\pi^0n at high energy in which the fact of the existence of a00(980)βˆ’f0(980)a^0_0(980)-f_0(980) mixing can be unambiguously and very easily established through the presence of a strong jump in the azimuthal asymmetry of the Ξ·Ο€0\eta\pi^0 SS wave production cross section near the KKΛ‰K\bar K thresholds. The presented estimates of the polarization effect to be expected in experiment are to a great extent model independent.Comment: RevTeX, 9 pages, 1 figure. A number of typographical and grammatical errors correcte

    Clustering of Regions Using Basic Agricultural and Economic Criteria

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    Π Π°Π·Π½ΠΎΠΎΠ±Ρ€Π°Π·ΠΈΠ΅ ΠΏΡ€ΠΈΡ€ΠΎΠ΄Π½ΠΎ-климатичСских ΠΈ экономичСских условий российских Ρ€Π΅Π³ΠΈΠΎΠ½ΠΎΠ² ΠΏΡ€Π΅Π΄ΠΏΠΎΠ»Π°Π³Π°Π΅Ρ‚ ΡˆΠΈΡ€ΠΎΠΊΠΈΠΉ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½ мСтодологичСских ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ΠΎΠ² ΠΊ ΠΈΡ… классификации. ΠžΠ΄Π½ΠΎΠ²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎ услоТняСтся Π·Π°Π΄Π°Ρ‡Π° абстрагирования исслСдования для любой отрасли Π½Π°Ρ€ΠΎΠ΄Π½ΠΎΠ³ΠΎ хозяйства. ЭффСктивная кластСризация Π²Π°ΠΆΠ½Π° Ρ‚Π°ΠΊΠΆΠ΅ Π² процСссС формирования ΠΈ Ρ€Π΅Π°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ Π°Π³Ρ€Π°Ρ€Π½ΠΎ-экономичСской ΠΏΠΎΠ»ΠΈΡ‚ΠΈΠΊΠΈ. Π’ Ρ€Π°Π±ΠΎΡ‚Π΅ ΠΈΠ·ΡƒΡ‡Π΅Π½Ρ‹ возмоТности Π±Π°Π·ΠΎΠ²ΠΎΠΉ Π°Π³Ρ€Π°Ρ€Π½ΠΎ-экономичСской Ρ€Π΅Π³ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΉ кластСризации Π½Π° основС Π²Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… рядов основных экономичСских ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ ΠΈ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ развития сСльского хозяйства. Новизна ΠΏΡ€Π΅Π΄Π»Π°Π³Π°Π΅ΠΌΠΎΠ³ΠΎ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Π° Π·Π°ΠΊΠ»ΡŽΡ‡Π°Π΅Ρ‚ΡΡ Π² ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠ΅ динамичСского сСгмСнтирования, которая позволяСт Π½Π°Π±Π»ΡŽΠ΄Π°Ρ‚ΡŒ ΠΈ ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠ΅ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π² мСзоэкономичСских пропорциях. На основС ΠΎΡ„ΠΈΡ†ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… Π΄Π°Π½Π½Ρ‹Ρ… государствСнной статистики сформированы Π³Ρ€ΡƒΠΏΠΏΡ‹ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ ΠΏΠΎ производствСнному, производствСнно-ΠΈΠ½ΡΡ‚ΠΈΡ‚ΡƒΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΌΡƒ ΠΈ производствСнно-структурному критСриям. Π’ качСствС основного ΠΌΠ΅Ρ‚ΠΎΠ΄Π° исслСдования Π²Ρ‹Π±Ρ€Π°Π½ ΠΌΠ΅Ρ‚ΠΎΠ΄ кластСризации Β«k-срСднСС». На основС Ρ‚Ρ€Π΅Ρ… смодСлированных Ρ€Π΅Π³ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Ρ… сСгмСнтов рассчитаны срСдниС значСния ΠΏΠΎ исходным ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠ°ΠΌ. Π‘Π΅Π³ΠΌΠ΅Π½Ρ‚Ρ‹ классифицированы с ΠΏΠΎΠ·ΠΈΡ†ΠΈΠΉ ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Ρ… характСристик. ΠžΡ‚Π΄Π΅Π»ΡŒΠ½ΠΎ рассмотрСны ΡΡƒΠ±ΡŠΠ΅ΠΊΡ‚Ρ‹-выбросы, Π΄Π°Π»Π΅ΠΊΠΎ отстоящиС ΠΎΡ‚ основных массивов Π΄Π°Π½Π½Ρ‹Ρ…. ΠŸΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Π΅ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ ΠΏΠΎΠ΄Ρ‚Π²Π΅Ρ€Π΄ΠΈΠ»ΠΈ ΡˆΠΈΡ€ΠΎΠΊΠΎΠ΅ пространствСнноС распрСдСлСниС Ρ€Π΅Π³ΠΈΠΎΠ½ΠΎΠ², входящих Π² ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Π½Ρ‹Π΅ Π°Π³Ρ€Π°Ρ€Π½ΠΎ-экономичСскиС сСгмСнты. Данная классификация Π±ΡƒΠ΄Π΅Ρ‚ ΠΏΠΎΠ»Π΅Π·Π½Π° ΠΏΡ€ΠΈ обосновании Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠΉ ΠΈ Π²Ρ‹Π±ΠΎΡ€Π΅ инструмСнтов Π°Π³Ρ€Π°Ρ€Π½ΠΎ-экономичСской ΠΏΠΎΠ»ΠΈΡ‚ΠΈΠΊΠΈ, стратСгии создания производствСнных кластСров, Π° Ρ‚Π°ΠΊΠΆΠ΅ ΠΏΡ€ΠΈ ΠΏΠ»Π°Π½ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠΈ Ρ€Π°Π±ΠΎΡ‚Ρ‹ Ρ€Π΅Π³ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ агробизнСса, устранСнии ΡΡƒΡ‰Π΅ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… диспропорций Π² Π΅Π³ΠΎ Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠΈ. Π’ качСствС дальнСйшСго ΡΠΎΠ²Π΅Ρ€ΡˆΠ΅Π½ΡΡ‚Π²ΠΎΠ²Π°Π½ΠΈΡ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΠΈ Π°Π³Ρ€Π°Ρ€Π½ΠΎ-экономичСской сСгмСнтации Π² Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ΅ ΠΏΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½ΠΎ Ρ€Π°ΡΡˆΠΈΡ€ΠΈΡ‚ΡŒ Π°Π½Π°Π»ΠΈΠ· с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ измСнСния ΠΈΠ·ΡƒΡ‡Π°Π΅ΠΌΠΎΠ³ΠΎ Π²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΠ³ΠΎ ΠΈΠ½Ρ‚Π΅Ρ€Π²Π°Π»Π°, роста количСства Π²ΠΊΠ»ΡŽΡ‡Π°Π΅ΠΌΡ‹Ρ… Π² модСль Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² ΠΈ ΠΈΡ… взаимодСйствий, ввСдСния Π½ΠΎΠ²Ρ‹Ρ… Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠΎΠ² кластСризации. Π”Π°Π½Π½ΡƒΡŽ модСль ΠΌΠΎΠΆΠ½ΠΎ Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ ΠΏΡ€ΠΈΠΌΠ΅Π½ΡΡ‚ΡŒ для получСния ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·ΠΎΠ² структурных ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ ΠΈ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ производства.The diversity of natural, climatic, and economic conditions of Russian regions implies a wide range of approaches to their classification. Simultaneously, the task of creating an abstract methodology for any branch of the national economy becomes more complicated. Effective clustering plays an important role in the establishment and implementation of agricultural and economic policies. The paper explores the potential of basic agricultural and economic regional clustering based on time series of main economic and agricultural development indicators. The dynamic segmentation technique was applied in order to monitor and predict the direction of meso-economic changes. Official Russian statistics were analysed to identify groups of indicators on production, production and institutional, and production and structural criteria. The ΠΊ-means clustering algorithm was chosen as the key research method. Based on the three simulated regional segments, baseline average values were calculated. Then, the segments were classified according to the obtained characteristics. The outliers, significantly differing from the main data sets, were considered separately. The findings confirmed a wide spatial distribution of regions included in certain agricultural and economic segments. The presented classification can be applied to justify the directions and choice of instruments of agricultural and economic policy and a strategy for creating production clusters. Moreover, it can be used to plan the activities of regional agri-businesses and reduce their development imbalances. To improve the dynamic segmentation technique in the field of agricultural and economic development, the analysis can be expanded by changing the examined time interval, increasing the number of factors included in the model and their interactions, and introducing new clustering algorithms. Additionally, this model can be used to forecast structural changes and production dynamics
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