47 research outputs found
On the Length of the Relaxation Zone of Ionization Behind a Strong Shock Wave Front in the Air
Relaxation zone behind strong shock wave front in ai
Application of dynamic priorities for controlling the characteristics of a queuing system
This paper considers the development and modification of an imitation model of a queuing system. The initial model uses the laws of control (discipline of expectation and service) with mixed priorities. The work investigates the model with three types of entities (absolute priority, relative priority and priority-free ones) in the regime of overload, i.e. a system with losses. Verification and validation of the created imitation model confirmed its adequateness and accuracy of received results. The application of dynamic priorities for changing the laws of model control substantially alters certain system characteristics. The creation of the model in MatLab Simulink environment with the use of SimEvents and Stateflow library modules allowed creating a fairly complex queuing system and obtain new interesting results
Application of dynamic priorities for controlling the characteristics of a queuing system
This paper considers the development and modification of an imitation model of a queuing system. The initial model uses the laws of control (discipline of expectation and service) with mixed priorities. The work investigates the model with three types of entities (absolute priority, relative priority and priority-free ones) in the regime of overload, i.e. a system with losses. Verification and validation of the created imitation model confirmed its adequateness and accuracy of received results. The application of dynamic priorities for changing the laws of model control substantially alters certain system characteristics. The creation of the model in MatLab Simulink environment with the use of SimEvents and Stateflow library modules allowed creating a fairly complex queuing system and obtain new interesting results
Kaon pair production in proton-nucleus collisions at 2.83 GeV kinetic energy
The production of non-phi K+K- pairs by protons of 2.83 GeV kinetic energy on
C, Cu, Ag, and Au targets has been investigated using the COSY-ANKE magnetic
spectrometer. The K- momentum dependence of the differential cross section has
been measured at small angles over the 0.2--0.9 GeV/c range. The comparison of
the data with detailed model calculations indicates an attractive K- -nucleus
potential of about -60 MeV at normal nuclear matter density at a mean momentum
of 0.5 GeV/c. However, this approach has difficulty in reproducing the
smallness of the observed cross sections at low K- momenta.Comment: 7 pages, 5 figures, 1 tabl
The production of K+K- pairs in proton-proton collisions at 2.83 GeV
Differential and total cross sections for the pp -> ppK+K- reaction have been
measured at a proton beam energy of 2.83 GeV using the COSY-ANKE magnetic
spectrometer. Detailed model descriptions fitted to a variety of
one-dimensional distributions permit the separation of the pp -> pp phi cross
section from that of non-phi production. The differential spectra show that
higher partial waves represent the majority of the pp -> pp phi total cross
section at an excess energy of 76 MeV, whose energy dependence would then seem
to require some s-wave phi-p enhancement near threshold. The non-phi data can
be described in terms of the combined effects of two-body final state
interactions using the same effective scattering parameters determined from
lower energy data.Comment: 12 pages, 12 figures, 3 table
Momentum dependence of the phi-meson nuclear transparency
The production of phi mesons in proton collisions with C, Cu, Ag, and Au
targets has been studied via the phi -> K+K- decay at an incident beam energy
of 2.83 GeV using the ANKE detector system at COSY. For the first time, the
momentum dependence of the nuclear transparency ratio, the in-medium phi width,
and the differential cross section for phi meson production at forward angles
have been determined for these targets over the momentum range of 0.6 - 1.6
GeV/c. There are indications of a significant momentum dependence in the value
of the extracted phi width, which corresponds to an effective phi-N absorption
cross section in the range of 14 - 21 mb.Comment: 9 pages, 5 figure
Comparison of inclusive K+ production in proton-proton and proton-neutron collisions
The momentum spectra of K+ produced at small angles in proton-proton and
proton-deuteron collisions have been measured at four beam energies, 1.826,
1.920, 2.020, and 2.650 GeV, using the ANKE spectrometer at COSY-Juelich. After
making corrections for Fermi motion and shadowing, the data indicate that K+
production near threshold is stronger in pp- than in pn-induced reactions.
However, most of this difference could be made up by the unobserved K0
production in the pn case.Comment: 6 pages, 4 figures, Submitted to PR
ΠΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΡΠ»Π΅ΠΊΡΡΠΎΡ ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΎΠΌ ΠΌΠ΅ΠΌΠ±ΡΠ°Π½Π½ΠΎΠΉ ΠΎΡΠΈΡΡΠΊΠΈ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ ΡΠ°ΡΡΠ²ΠΎΡΠΎΠ² ΠΎΡ ΡΡΠ»ΡΡΠ°ΡΠ° ΠΌΠ΅Π΄ΠΈ ΠΈ ΡΡΠΈΠ½Π°ΡΡΠΈΠΉΡΠΎΡΡΠ°ΡΠ°
The paper considers the potential practical application of an electrochemical membrane method in the process of copper sulfate and trisodium phosphate removal from industrial water. The research objects were process solutions containing copper sulfate and trisodium phosphate and semipermeable polymeric membranes with various selective permeability characteristics. The study covers the effect that the transmembrane parameters of electromembrane separation have on the main kinetic characteristics of MGA-95P and OPM-K membranes in the process of copper smelting production water treatment. Approximation expressions were obtained to calculate membrane rejection rate depending on the physicochemical basis of the semipermeable membrane polymer, transmembrane pressure as well as process solution concentration and temperature. Empirical coefficients were determined to calculate and predict rejection rate values that can be used in the design of laboratory, pilot and industrial units used in the separation, treatment and concentration of industrial and waste water. The mathematical model of mass transfer was developed for electrochemical membrane separation taking into account assumptions made based on the solutions of the NernstβPlanck and PoissonβBoltzmann equations. This model allows for process physical description and calculations of concentration fields in the intermembrane channel and concentration changes in permeate and retentate lines. The mathematical model was checked for adequacy by comparing experimental data on retention rate with theoretical values where discrepancies between the experimental and theoretical data were within the limits of the experimental error and the error of calculated values.Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΠ»Π΅ΠΊΡΡΠΎΡ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠ΅ΠΌΠ±ΡΠ°Π½Π½ΠΎΠ³ΠΎ ΠΌΠ΅ΡΠΎΠ΄Π° Π² ΠΏΡΠΎΡΠ΅ΡΡΠ΅ ΠΎΡΠΈΡΡΠΊΠΈ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
Π²ΠΎΠ΄ ΠΎΡ ΡΡΠ»ΡΡΠ°ΡΠ° ΠΌΠ΅Π΄ΠΈ ΠΈ ΡΡΠΈΠ½Π°ΡΡΠΈΠΉΡΠΎΡΡΠ°ΡΠ°. ΠΠ±ΡΠ΅ΠΊΡΠ°ΠΌΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π±ΡΠ»ΠΈ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ°ΡΡΠ²ΠΎΡΡ, ΡΠΎΠ΄Π΅ΡΠΆΠ°ΡΠΈΠ΅ ΡΡΠ»ΡΡΠ°Ρ ΠΌΠ΅Π΄ΠΈ ΠΈ ΡΡΠΈΠ½Π°ΡΡΠΈΠΉΡΠΎΡΡΠ°Ρ, ΠΈ ΠΏΠΎΠ»ΡΠΏΡΠΎΠ½ΠΈΡΠ°Π΅ΠΌΡΠ΅ ΠΌΠ΅ΠΌΠ±ΡΠ°Π½Ρ ΠΏΠΎΠ»ΠΈΠΌΠ΅ΡΠ½ΠΎΠ³ΠΎ Π²ΠΈΠ΄Π° Ρ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠΌΠΈ ΡΠ΅Π»Π΅ΠΊΡΠΈΠ²Π½ΠΎ-ΠΏΡΠΎΠ½ΠΈΡΠ°Π΅ΠΌΡΠΌΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ°ΠΌΠΈ. ΠΠ·ΡΡΠ΅Π½ΠΎ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΡΡΠ°Π½ΡΠΌΠ΅ΠΌΠ±ΡΠ°Π½Π½ΡΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΡΠ»Π΅ΠΊΡΡΠΎΠΌΠ΅ΠΌΠ±ΡΠ°Π½Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΡΠ°Π·Π΄Π΅Π»Π΅Π½ΠΈΡ Π½Π° ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ ΠΊΠΈΠ½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΠΌΠ΅ΠΌΠ±ΡΠ°Π½ ΠΠΠ-95Π ΠΈ ΠΠΠ-Π ΠΏΡΠΈ ΠΎΡΠΈΡΡΠΊΠ΅ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
Π²ΠΎΠ΄ ΠΌΠ΅Π΄Π΅ΠΏΠ»Π°Π²ΠΈΠ»ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π°. ΠΠΎΠ»ΡΡΠ΅Π½Ρ Π°ΠΏΠΏΡΠΎΠΊΡΠΈΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΠ΅ Π²ΡΡΠ°ΠΆΠ΅Π½ΠΈΡ Π΄Π»Ρ ΡΠ°ΡΡΠ΅ΡΠ° ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠ° Π·Π°Π΄Π΅ΡΠΆΠ°Π½ΠΈΡ ΠΌΠ΅ΠΌΠ±ΡΠ°Π½Ρ Π² Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ ΡΠΈΠ·ΠΈΠΊΠΎ-Ρ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΡΠ½ΠΎΠ²Ρ ΠΏΠΎΠ»ΠΈΠΌΠ΅ΡΠ° ΠΏΠΎΠ»ΡΠΏΡΠΎΠ½ΠΈΡΠ°Π΅ΠΌΠΎΠΉ ΠΌΠ΅ΠΌΠ±ΡΠ°Π½Ρ, Π²Π΅Π»ΠΈΡΠΈΠ½Ρ ΡΡΠ°Π½ΡΠΌΠ΅ΠΌΠ±ΡΠ°Π½Π½ΠΎΠ³ΠΎ Π΄Π°Π²Π»Π΅Π½ΠΈΡ, ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΈ ΠΈ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΡ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°ΡΡΠ²ΠΎΡΠ°. ΠΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ ΡΠΌΠΏΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΡ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠΈΠ΅ ΡΠ°ΡΡΡΠΈΡΡΠ²Π°ΡΡ ΠΈ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°ΡΡ Π·Π½Π°ΡΠ΅Π½ΠΈΡ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠ° Π·Π°Π΄Π΅ΡΠΆΠ°Π½ΠΈΡ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ Π² ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΡ
, ΠΏΠΈΠ»ΠΎΡΠ½ΡΡ
ΠΈ ΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΡΡ
ΡΡΡΠ°Π½ΠΎΠ²ΠΎΠΊ, ΠΏΡΠΈΠΌΠ΅Π½ΡΠ΅ΠΌΡΡ
Π² ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅Π½Π½ΡΡ
ΠΏΡΠΎΡΠ΅ΡΡΠ°Ρ
ΡΠ°Π·Π΄Π΅Π»Π΅Π½ΠΈΡ, ΠΎΡΠΈΡΡΠΊΠΈ ΠΈ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ ΡΡΠΎΡΠ½ΡΡ
Π²ΠΎΠ΄. Π Π°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π° ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΌΠ°ΡΡΠΎΠΏΠ΅ΡΠ΅Π½ΠΎΡΠ° ΡΠ»Π΅ΠΊΡΡΠΎΡ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠ΅ΠΌΠ±ΡΠ°Π½Π½ΠΎΠ³ΠΎ ΡΠ°Π·Π΄Π΅Π»Π΅Π½ΠΈΡ Ρ ΡΡΠ΅ΡΠΎΠΌ ΠΏΡΠΈΠ½ΡΡΡΡ
Π΄ΠΎΠΏΡΡΠ΅Π½ΠΈΠΉ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠ΅ΡΠ΅Π½ΠΈΠΉ ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΉ ΠΠ΅ΡΠ½ΡΡΠ°βΠΠ»Π°Π½ΠΊΠ° ΠΈ ΠΡΠ°ΡΡΠΎΠ½Π°βΠΠΎΠ»ΡΡΠΌΠ°Π½Π°, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠ°Ρ ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΈ ΠΎΠΏΠΈΡΠ°ΡΡ ΠΏΡΠΎΡΠ΅ΡΡ ΠΈ ΡΠ°ΡΡΡΠΈΡΠ°ΡΡ ΠΏΠΎΠ»Ρ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΉ Π² ΠΌΠ΅ΠΆΠΌΠ΅ΠΌΠ±ΡΠ°Π½Π½ΠΎΠΌ ΠΊΠ°Π½Π°Π»Π΅ ΠΈ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΉ Π² ΡΡΠ°ΠΊΡΠ°Ρ
ΠΏΠ΅ΡΠΌΠ΅Π°ΡΠ° ΠΈ ΡΠ΅ΡΠ΅Π½ΡΠ°ΡΠ°. ΠΡΠΎΠ²Π΅Π΄Π΅Π½Π° ΠΏΡΠΎΠ²Π΅ΡΠΊΠ° Π°Π΄Π΅ΠΊΠ²Π°ΡΠ½ΠΎΡΡΠΈ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΏΡΡΠ΅ΠΌ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΡ
Π΄Π°Π½Π½ΡΡ
ΠΏΠΎ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΡ Π·Π°Π΄Π΅ΡΠΆΠ°Π½ΠΈΡ Ρ Π΅Π³ΠΎ ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ Π·Π½Π°ΡΠ΅Π½ΠΈΡΠΌΠΈ. Π Π°ΡΡ
ΠΎΠΆΠ΄Π΅Π½ΠΈΠ΅ ΠΌΠ΅ΠΆΠ΄Ρ Π½ΠΈΠΌΠΈ ΠΎΠΊΠ°Π·Π°Π»ΠΎΡΡ Π² ΠΏΡΠ΅Π΄Π΅Π»Π°Ρ
ΠΎΡΠΈΠ±ΠΊΠΈ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ° ΠΈ ΠΏΠΎΠ³ΡΠ΅ΡΠ½ΠΎΡΡΠΈ ΡΠ°ΡΡΠ΅ΡΠ½ΡΡ
Π²Π΅Π»ΠΈΡΠΈΠ½