12 research outputs found
Π ΠΎΡΠ΅Π½ΠΊΠ΅ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ Π΄ΡΠΎΠ±Π»Π΅Π½ΠΈΡ ΡΡΡΡΠΆΠ΅ΠΊ
In order to analyze chip crushing rate it is proposed to use a sieve analysis and methods of mathematical statistics which are applied in powder metallurgy, peat and coal industries and other branches. Estimation in fluctuation of chip size, stability of its crushing under various cutting conditions, materials and changes of machining conditions have been investigated on the basis of chip fractional composition. Distribution curves and histograms show dominant size of chips. The sieve analysis of chip crushing rate has been applied in deep drilling of steel and grey cast iron.ΠΠ»Ρ Π°Π½Π°Π»ΠΈΠ·Π° ΡΡΠ΅ΠΏΠ΅Π½ΠΈ Π΄ΡΠΎΠ±Π»Π΅Π½ΠΈΡ ΡΡΡΡΠΆΠ΅ΠΊ ΠΏΡΠ΅Π΄Π»Π°Π³Π°Π΅ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ ΡΠΈΡΠΎΠ²ΠΎΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΏΡΠΈΠΌΠ΅Π½ΡΡΡΡΡ Π² ΠΏΠΎΡΠΎΡΠΊΠΎΠ²ΠΎΠΉ ΠΌΠ΅ΡΠ°Π»Π»ΡΡΠ³ΠΈΠΈ, ΡΠΎΡΡΡΠ½ΠΎΠΉ, ΡΠ³ΠΎΠ»ΡΠ½ΠΎΠΉ ΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΠΎΡΡΠΈ ΠΌ Π΄ΡΡΠ³ΠΈΡ
ΠΎΡΡΠ°ΡΠ»ΡΡ
. ΠΠΎ ΡΡΠ°ΠΊΡΠΈΠΎΠ½Π½ΠΎΠΌΡ ΡΠΎΡΡΠ°Π²Ρ ΡΡΡΡΠΆΠΊΠΈ Π²ΡΠΏΠΎΠ»Π½Π΅Π½Π° ΠΎΡΠ΅Π½ΠΊΠ° ΠΊΠΎΠ»Π΅Π±Π°Π½ΠΈΠΉ ΡΠ°Π·ΠΌΠ΅ΡΠΎΠ² ΡΡΡΡΠΆΠ΅ΠΊ, ΡΡΠ°Π±ΠΈΠ»ΡΠ½ΠΎΡΡΡ Π΅Π΅ Π΄ΡΠΎΠ±Π»Π΅Π½ΠΈΡ ΠΏΡΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠ΅ΠΆΠΈΠΌΠ°Ρ
ΡΠ΅Π·Π°Π½ΠΈΡ, ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Π°Ρ
ΠΈ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΈ ΡΡΠ»ΠΎΠ²ΠΈΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ. ΠΡΠΈΠ²ΡΠ΅ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΈ Π³ΠΈΡΡΠΎΠ³ΡΠ°ΠΌΠΌΡ ΠΏΠΎΠΊΠ°Π·ΡΠ²Π°ΡΡ Π΄ΠΎΠΌΠΈΠ½ΠΈΡΡΡΡΠΈΠΉ ΡΠ°Π·ΠΌΠ΅Ρ ΡΡΡΡΠΆΠ΅ΠΊ. Π‘ΠΈΡΠΎΠ²ΠΎΠΉ Π°Π½Π°Π»ΠΈΠ· ΡΡΠ΅ΠΏΠ΅Π½ΠΈ Π΄ΡΠΎΠ±Π»Π΅Π½ΠΈΡ ΡΡΡΡΠΆΠ΅ΠΊ Π±ΡΠ» ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ ΠΏΡΠΈ Π³Π»ΡΠ±ΠΎΠΊΠΎΠΌ ΡΠ²Π΅ΡΠ»Π΅Π½ΠΈΠΈ ΡΡΠ°Π»Π΅ΠΉ ΠΈ ΡΠ΅ΡΠΎΠ³ΠΎ ΡΡΠ³ΡΠ½Π°
ΠΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΡ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΎΡΠΈΡΡΠΊΠΈ ΡΡΠΎΡΠ½ΡΡ Π²ΠΎΠ΄ ΠΏΠΎΡΡΠΎΠ² ΠΌΠΎΠΉΠΊΠΈ Π°Π²ΡΠΎΡΡΠ°ΠΊΡΠΎΡΠ½ΠΎΠΉ ΡΠ΅Ρ Π½ΠΈΠΊΠΈ ΠΏΠΎ ΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΠΌ Π·Π°ΡΡΠ°ΡΠ°ΠΌ
The paper considers a process pertaining to purification of oily effluents while using electrocoagulation, electro-flotation and an electromagnetic hydro-cyclone, implemented with the help of a laboratory unit (Patent of the Republic of Belarus for the invention No 21229). The investigations have been carried out with the purpose to optimize specific energy consumption for the process of cleaning fuel and lubricants effluents. The following investigation methods have been applied β a literature review, a comparative analysis, an experiment execution, a mathematical modeling. Content of oil products in wastewater before and after treatment has been evaluated in the analytical laboratory of the Belarusian State Agrarian Technical University in accordance with standard methods. Purification of the oily effluents has been made with the help of a laboratory unit while using electroflotocoagulation method with removal of floated sludge in an electromagnetic hydrocyclone. This cleaning method makes it possible to increase a degree of water disinfection, provides a closed water supply, rational use of water resources, reduction of harmful effects of pollutants on the environment. An experimental design technique has been worked out and a three-level Box β Behnken design has been implemented in the paper. The problem concerning optimization of the purification process on energy costs has been solved without worsening the required concentration indices of petroleum products in water after treatment . Mathematical models have been obtained and optimal purification modes have been determined at the lowest specific energy costs and with sufficiently high degree of purification. Significance of regression coefficients has been estimated by Student criterion. It has been established that while using the proposed unit it is possible to obtain a degree of wastewater purification at automotive equipment washing stations with its performanceΒ GΒ = 0.7 l/s, current densityΒ jΒ = 150 A/m2. The degree of purification, determined by ratio of pollutant concentrations before and after purification, is up to 99.9 %. The results can be used in implementation of microprocessor control of cleaning mode while taking an initial concentration of pollution, unit capability, current density of an electroflotocoagulator as control action factors.Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½ ΠΏΡΠΎΡΠ΅ΡΡ ΠΎΡΠΈΡΡΠΊΠΈ Π½Π΅ΡΡΠ΅ΡΠΎΠ΄Π΅ΡΠΆΠ°ΡΠΈΡ
ΡΡΠΎΠΊΠΎΠ² Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΡΠ»Π΅ΠΊΡΡΠΎΠΊΠΎΠ°Π³ΡΠ»ΡΡΠΈΠΈ, ΡΠ»Π΅ΠΊΡΡΠΎΡΠ»ΠΎΡΠ°ΡΠΈΠΈ ΠΈ ΡΠ»Π΅ΠΊΡΡΠΎΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎΠ³ΠΎ Π³ΠΈΠ΄ΡΠΎΡΠΈΠΊΠ»ΠΎΠ½Π°, ΡΠ΅Π°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π½ΡΠΉ Π½Π° Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΠΎΠΉ ΡΡΡΠ°Π½ΠΎΠ²ΠΊΠ΅ (ΠΏΠ°ΡΠ΅Π½Ρ Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠΈ ΠΠ΅Π»Π°ΡΡΡΡ Π½Π° ΠΈΠ·ΠΎΠ±ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ β 21229). ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈΡΡ Ρ ΡΠ΅Π»ΡΡ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ ΡΠ΄Π΅Π»ΡΠ½ΡΡ
ΡΠ½Π΅ΡΠ³ΠΎΠ·Π°ΡΡΠ°Ρ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΎΡΠΈΡΡΠΊΠΈ ΡΡΠΎΠΊΠΎΠ² ΠΎΡ ΡΠΎΠΏΠ»ΠΈΠ²Π½ΠΎ-ΡΠΌΠ°Π·ΠΎΡΠ½ΡΡ
Π²Π΅ΡΠ΅ΡΡΠ². ΠΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΠ»ΠΈΡΡ ΠΎΠ±Π·ΠΎΡ Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΡ, ΡΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ·, ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½Ρ, ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅. Π‘ΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ Π½Π΅ΡΡΠ΅ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ² Π² ΡΡΠΎΡΠ½ΡΡ
Π²ΠΎΠ΄Π°Ρ
Π΄ΠΎ ΠΈ ΠΏΠΎΡΠ»Π΅ ΠΎΡΠΈΡΡΠΊΠΈ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π»ΠΎΡΡ Π² Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠΈΠΈ ΠΠ΅Π»ΠΎΡΡΡΡΠΊΠΎΠ³ΠΎ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ Π°Π³ΡΠ°ΡΠ½ΠΎΠ³ΠΎ ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ½ΠΈΠ²Π΅ΡΡΠΈΡΠ΅ΡΠ° ΠΏΠΎ ΡΡΠ°Π½Π΄Π°ΡΡΠ½ΡΠΌ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ°ΠΌ. ΠΡΠΏΠΎΠ»Π½Π΅Π½Π° ΠΎΡΠΈΡΡΠΊΠ° Π½Π΅ΡΡΠ΅ΡΠΎΠ΄Π΅ΡΠΆΠ°ΡΠΈΡ
ΡΡΠΎΠΊΠΎΠ² Π½Π° Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΠΎΠΉ ΡΡΡΠ°Π½ΠΎΠ²ΠΊΠ΅ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΌΠ΅ΡΠΎΠ΄Π° ΡΠ»Π΅ΠΊΡΡΠΎΡΠ»ΠΎΡΠΎΠΊΠΎΠ°Π³ΡΠ»ΡΡΠΈΠΈ Ρ ΡΠ΄Π°Π»Π΅Π½ΠΈΠ΅ΠΌ Π²ΡΠΏΠ»ΡΠ²ΡΠ΅Π³ΠΎ ΡΠ»Π°ΠΌΠ° Π² ΡΠ»Π΅ΠΊΡΡΠΎΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎΠΌ Π³ΠΈΠ΄ΡΠΎΡΠΈΠΊΠ»ΠΎΠ½Π΅. ΠΠ°Π½Π½ΡΠΉ ΡΠΏΠΎΡΠΎΠ± ΠΎΡΠΈΡΡΠΊΠΈ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΠΏΠΎΠ²ΡΡΠΈΡΡ ΡΡΠ΅ΠΏΠ΅Π½Ρ ΠΎΠ±Π΅Π·Π·Π°ΡΠ°ΠΆΠΈΠ²Π°Π½ΠΈΡ Π²ΠΎΠ΄Ρ, ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°Π΅Ρ Π·Π°ΠΌΠΊΠ½ΡΡΠΎΠ΅ Π²ΠΎΠ΄ΠΎΡΠ½Π°Π±ΠΆΠ΅Π½ΠΈΠ΅, ΡΠ°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ΅ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ Π²ΠΎΠ΄Π½ΡΡ
ΡΠ΅ΡΡΡΡΠΎΠ², ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ Π²ΡΠ΅Π΄Π½ΠΎΠ³ΠΎ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ Π·Π°Π³ΡΡΠ·Π½ΡΡΡΠΈΡ
Π²Π΅ΡΠ΅ΡΡΠ² Π½Π° ΠΎΠΊΡΡΠΆΠ°ΡΡΡΡ ΡΡΠ΅Π΄Ρ. ΠΡΠΎΠ²Π΅Π΄Π΅Π½ΠΎ ΠΏΠ»Π°Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°. Π Π΅Π°Π»ΠΈΠ·ΠΎΠ²Π°Π½ ΡΡΠ΅Ρ
ΡΡΠΎΠ²Π½Π΅Π²ΡΠΉ ΠΏΠ»Π°Π½ ΠΠΎΠΊΡΠ° β ΠΠ΅Π½ΠΊΠ΅Π½Π°. Π Π΅ΡΠ΅Π½Π° Π·Π°Π΄Π°ΡΠ° ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΎΡΠΈΡΡΠΊΠΈ ΠΏΠΎ ΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΠΌ Π·Π°ΡΡΠ°ΡΠ°ΠΌ, Π½Π΅ ΡΡ
ΡΠ΄ΡΠ°Ρ ΡΡΠ΅Π±ΡΠ΅ΠΌΡΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΈ Π½Π΅ΡΡΠ΅ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ² Π² Π²ΠΎΠ΄Π΅ ΠΏΠΎΡΠ»Π΅ ΠΎΡΠΈΡΡΠΊΠΈ. ΠΠΎΠ»ΡΡΠ΅Π½Ρ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΠ΅ ΡΠ΅ΠΆΠΈΠΌΡ ΠΎΡΠΈΡΡΠΊΠΈ ΠΏΡΠΈ Π½Π°ΠΈΠΌΠ΅Π½ΡΡΠΈΡ
ΡΠ΄Π΅Π»ΡΠ½ΡΡ
ΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π·Π°ΡΡΠ°ΡΠ°Ρ
ΠΈ Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎ Π²ΡΡΠΎΠΊΠΎΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΠΎΡΠΈΡΡΠΊΠΈ. ΠΠ½Π°ΡΠΈΠΌΠΎΡΡΡ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠΎΠ² ΡΠ΅Π³ΡΠ΅ΡΡΠΈΠΈ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π»Π°ΡΡ ΠΏΠΎ ΠΊΡΠΈΡΠ΅ΡΠΈΡ Π‘ΡΡΡΠ΄Π΅Π½ΡΠ°. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ Π½Π° ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠΉ ΡΡΡΠ°Π½ΠΎΠ²ΠΊΠ΅ ΡΡΠ΅ΠΏΠ΅Π½Ρ ΠΎΡΠΈΡΡΠΊΠΈ ΡΡΠΎΠΊΠΎΠ² ΠΏΠΎΡΡΠΎΠ² ΠΌΠΎΠΉΠΊΠΈ Π°Π²ΡΠΎΡΡΠ°ΠΊΡΠΎΡΠ½ΠΎΠΉ ΡΠ΅Ρ
Π½ΠΈΠΊΠΈ ΠΌΠΎΠΆΠ½ΠΎ Π΄ΠΎΡΡΠΈΡΡ ΠΏΡΠΈ Π΅Π΅ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈΒ GΒ = 0,7 Π»/Ρ, ΠΏΠ»ΠΎΡΠ½ΠΎΡΡΠΈ ΡΠΎΠΊΠ°Β jΒ = 150 Π/ΠΌ2. Π‘ΡΠ΅ΠΏΠ΅Π½Ρ ΠΎΡΠΈΡΡΠΊΠΈ, ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ΅ΠΌΠ°Ρ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ΠΌ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΉ Π·Π°Π³ΡΡΠ·Π½ΠΈΡΠ΅Π»Ρ Π΄ΠΎ ΠΈ ΠΏΠΎΡΠ»Π΅ ΠΎΡΠΈΡΡΠΊΠΈ, ΡΠΎΡΡΠ°Π²Π»ΡΠ΅Ρ 99,9 %. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ ΠΏΡΠΈ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΌΠΈΠΊΡΠΎΠΏΡΠΎΡΠ΅ΡΡΠΎΡΠ½ΠΎΠ³ΠΎ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠ΅ΠΆΠΈΠΌΠΎΠΌ ΠΎΡΠΈΡΡΠΊΠΈ, ΠΏΡΠΈΠ½ΡΠ² Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΡΠΏΡΠ°Π²Π»ΡΡΡΠ΅Π³ΠΎ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ ΡΠ°ΠΊΠΈΠ΅ ΡΠ°ΠΊΡΠΎΡΡ, ΠΊΠ°ΠΊ ΠΈΡΡ
ΠΎΠ΄Π½Π°Ρ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΡ Π·Π°Π³ΡΡΠ·Π½Π΅Π½ΠΈΠΉ, ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡ ΡΡΡΠ°Π½ΠΎΠ²ΠΊΠΈ, ΠΏΠ»ΠΎΡΠ½ΠΎΡΡΡ ΡΠΎΠΊΠ° ΡΠ»Π΅ΠΊΡΡΠΎΡΠ»ΠΎΡΠΎΠΊΠΎΠ°Π³ΡΠ»ΡΡΠΎΡΠ°
ΠΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΡ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎ-ΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΏΡΠΎΡΠ½Π΅Π½ΠΈΡ
In order to determine the optimal values of technological factors for electromagnetic hardening process (EMHP), an experimental study of the process of applying ferromagnetic Fe β 2 % V powder coating on 30Π₯ΠΠ‘ (GOST 4543- 71) steel parts was conducted. The process productivity and coating continuity were selected as the target parameters for the EMHP optimization. By applying the experimental design method, based on 5-factor central composite rotatable uniform plan, we have created stochastic models, expressed in regression functions of the second order. It has been determined that the magnetic induction value in the working gap is the most significant technological factor, affecting both target parameters. With the increasing induction magnitude the process productivity and the coating continuity increase non-linearly until theΒ maximum limit value, which was attributed to the forming of current-conductive chains in the working gap, that have varying electrical conductivity and different directions relative to the lines of magnetic field forces. In order to determine the optimal EMHP mode we have solved the problems of finding maximums for greatest productivity and coating continuity within the constraints of the studied factor range. The discovered EMHP-modes, optimal for each separate parameter, coincide only in the value of the magnetic induction and the discharge density. The optimal values for the other control factors belong to different areas of factor range for different optimization parameters. To determine the EMHP modes, balanced against the both parameters, the problem of multicriteria optimization was solved. The obtained solution reveals that the density of discharge currents produces the biggest impact on the process productivity and the coating continuity within the balanced modes. At the same time the high continuity of the coating is achieved by the supplementing increase of peripheral speed of the processed workpiece, which leads to evener distribution of the intensively supplied mass of the ferromagnetic powder on the treated surface. The recommended technological modes of EMHP have been determined, based on the generalized optimality criteria.. Π‘ ΡΠ΅Π»ΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΡ
Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎ-ΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΏΡΠΎΡΠ½Π΅Π½ΠΈΡ (ΠΠΠ£) Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΎ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΡΠΎΡΠ΅ΡΡΠ° Π½Π°Π½Π΅ΡΠ΅Π½ΠΈΡ ΠΏΠΎΠΊΡΡΡΠΈΡ ΠΈΠ· ΡΠ΅ΡΡΠΎΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΡΠΎΡΠΊΠ° Fe β 2 % V Π½Π° Π΄Π΅ΡΠ°Π»ΠΈ ΠΈΠ· ΡΡΠ°Π»ΠΈ 30Π₯ΠΠ‘ (ΠΠΠ‘Π’ 4543-71). Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ ΠΠΠ£ ΠΏΡΠΈΠ½ΡΡΡ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΈ ΡΠΏΠ»ΠΎΡΠ½ΠΎΡΡΡ ΠΏΠΎΠΊΡΡΡΠΈΡ. ΠΠ΅ΡΠΎΠ΄ΠΎΠΌ ΠΏΠ»Π°Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠΎΠ² Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ 5-ΡΠ°ΠΊΡΠΎΡΠ½ΠΎΠ³ΠΎ ΡΠ΅Π½ΡΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΊΠΎΠΌΠΏΠΎΠ·ΠΈΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΡΠΎΡΠ°ΡΠ°Π±Π΅Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ½ΠΈΡΠΎΡΠΌ-ΠΏΠ»Π°Π½Π° ΠΏΠΎΠ»ΡΡΠ΅Π½Ρ ΡΡΠΎΡ
Π°ΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈ Π² Π²ΠΈΠ΄Π΅ ΡΠ΅Π³ΡΠ΅ΡΡΠΈΠΎΠ½Π½ΡΡ
ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΉ Π²ΡΠΎΡΠΎΠ³ΠΎ ΠΏΠΎΡΡΠ΄ΠΊΠ°. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΌ ΡΠ°ΠΊΡΠΎΡΠΎΠΌ, Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π²Π»ΠΈΡΡΡΠΈΠΌ Π½Π° ΠΎΠ±Π° ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°, ΡΠ²Π»ΡΠ΅ΡΡΡ Π²Π΅Π»ΠΈΡΠΈΠ½Π° ΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎΠΉ ΠΈΠ½Π΄ΡΠΊΡΠΈΠΈ Π² ΡΠ°Π±ΠΎΡΠ΅ΠΌ Π·Π°Π·ΠΎΡΠ΅. Π‘ Π΅Π΅ Π²ΠΎΠ·ΡΠ°ΡΡΠ°Π½ΠΈΠ΅ΠΌ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΈ ΡΠΏΠ»ΠΎΡΠ½ΠΎΡΡΡ ΠΏΠΎΠΊΡΡΡΠΈΡ ΡΠ²Π΅Π»ΠΈΡΠΈΠ²Π°ΡΡΡΡ Π½Π΅Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎ Π΄ΠΎ ΠΏΡΠ΅Π΄Π΅Π»ΡΠ½ΠΎΠ³ΠΎ ΠΌΠ°ΠΊΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΠ³ΠΎ Π·Π½Π°ΡΠ΅Π½ΠΈΡ, ΡΡΠΎ ΠΎΠ±ΡΡΡΠ½Π΅Π½ΠΎ ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠΌ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π² ΡΠ°Π±ΠΎΡΠ΅ΠΌ Π·Π°Π·ΠΎΡΠ΅ ΡΠΎΠΊΠΎΠΏΡΠΎΠ²ΠΎΠ΄ΡΡΠΈΡ
ΡΠ΅ΠΏΠΎΡΠ΅ΠΊ Ρ ΡΠ°Π·Π»ΠΈΡΠ½ΠΎΠΉ ΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠΌΠΎΡΡΡΡ ΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠΌ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ΠΌ ΠΎΡΠ½ΠΎΡΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΌΠ°Π³Π½ΠΈΡΠ½ΡΡ
ΡΠΈΠ»ΠΎΠ²ΡΡ
Π»ΠΈΠ½ΠΈΠΉ. ΠΠ»Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ΅ΠΆΠΈΠΌΠ° ΠΠΠ£ ΡΠ΅ΡΠ΅Π½Ρ Π·Π°Π΄Π°ΡΠΈ ΠΏΠΎΠΈΡΠΊΠ° ΠΌΠ°ΠΊΡΠΈΠΌΡΠΌΠΎΠ² Π½Π°ΠΈΠ±ΠΎΠ»ΡΡΠ΅ΠΉ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΈ ΡΠΏΠ»ΠΎΡΠ½ΠΎΡΡΠΈ ΠΏΠΎΠΊΡΡΡΠΈΡ Π² Π³ΡΠ°Π½ΠΈΡΠ°Ρ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΡΠ°ΠΊΡΠΎΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π°. ΠΠ°ΠΉΠ΄Π΅Π½Π½ΡΠ΅ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΠ΅ ΠΏΠΎ ΠΊΠ°ΠΆΠ΄ΠΎΠΌΡ ΠΎΡΠ΄Π΅Π»ΡΠ½ΠΎΠΌΡ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡ ΡΠ΅ΠΆΠΈΠΌΡ ΠΠΠ£ ΡΠΎΠ²ΠΏΠ°Π΄Π°ΡΡ ΡΠΎΠ»ΡΠΊΠΎ ΠΏΠΎ Π²Π΅Π»ΠΈΡΠΈΠ½Π΅ ΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎΠΉ ΠΈΠ½Π΄ΡΠΊΡΠΈΠΈ ΠΈ ΠΏΠ»ΠΎΡΠ½ΠΎΡΡΠΈ ΡΠ°Π·ΡΡΠ΄Π½ΠΎΠ³ΠΎ ΡΠΎΠΊΠ°. ΠΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΡ ΠΎΡΡΠ°Π»ΡΠ½ΡΡ
ΡΠΏΡΠ°Π²Π»ΡΡΡΠΈΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² Π»Π΅ΠΆΠ°Ρ Π² ΡΠ°Π·Π½ΡΡ
ΠΎΠ±Π»Π°ΡΡΡΡ
ΡΠ°ΠΊΡΠΎΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π° Π΄Π»Ρ ΡΠ°Π·Π½ΡΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ. ΠΠ»Ρ ΠΏΠΎΠΈΡΠΊΠ° ΠΊΠΎΠΌΠΏΡΠΎΠΌΠΈΡΡΠ½ΡΡ
ΠΏΠΎ ΠΎΠ±ΠΎΠΈΠΌ ΠΊΡΠΈΡΠ΅ΡΠΈΡΠΌ ΡΠ΅ΠΆΠΈΠΌΠΎΠ² ΠΠΠ£ ΡΠ΅ΡΠ΅Π½Π° Π·Π°Π΄Π°ΡΠ° ΠΌΠ½ΠΎΠ³ΠΎΠΊΡΠΈΡΠ΅ΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΠΎΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ ΡΠΊΠ°Π·ΡΠ²Π°Π΅Ρ, ΡΡΠΎ Π½Π°ΠΈΠ±ΠΎΠ»ΡΡΠ΅Π΅ Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π½Π° ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΈ ΡΠΏΠ»ΠΎΡΠ½ΠΎΡΡΡ ΠΏΠΎΠΊΡΡΡΠΈΡ Π² ΠΎΠ±Π»Π°ΡΡΠΈ ΠΊΠΎΠΌΠΏΡΠΎΠΌΠΈΡΡΠ½ΡΡ
ΡΠ΅ΠΆΠΈΠΌΠΎΠ² ΠΎΠΊΠ°Π·ΡΠ²Π°Π΅Ρ ΠΏΠ»ΠΎΡΠ½ΠΎΡΡΡ ΡΠ°Π·ΡΡΠ΄Π½ΠΎΠ³ΠΎ ΡΠΎΠΊΠ°. ΠΡΠΈ ΡΡΠΎΠΌ Π²ΡΡΠΎΠΊΠ°Ρ ΡΠΏΠ»ΠΎΡΠ½ΠΎΡΡΡ ΠΏΠΎΠΊΡΡΡΠΈΡ Π΄ΠΎΡΡΠΈΠ³Π°Π΅ΡΡΡ ΠΏΡΠΈ ΠΎΠ΄Π½ΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΌ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΠΈ ΠΏΠ»ΠΎΡΠ½ΠΎΡΡΠΈ ΡΠ°Π·ΡΡΠ΄Π½ΠΎΠ³ΠΎ ΡΠΎΠΊΠ° ΠΈ ΠΎΠΊΡΡΠΆΠ½ΠΎΠΉ ΡΠΊΠΎΡΠΎΡΡΠΈ ΠΎΠ±ΡΠ°Π±Π°ΡΡΠ²Π°Π΅ΠΌΠΎΠΉ Π΄Π΅ΡΠ°Π»ΠΈ, ΡΡΠΎ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΡΠ΅Ρ Π±ΠΎΠ»Π΅Π΅ ΡΠ°Π²Π½ΠΎΠΌΠ΅ΡΠ½ΠΎΠΌΡ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΈΠ½ΡΠ΅Π½ΡΠΈΠ²Π½ΠΎ Π½Π°Π½ΠΎΡΠΈΠΌΠΎΠΉ ΠΌΠ°ΡΡΡ ΡΠ΅ΡΡΠΎΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΡΠΎΡΠΊΠ° Π½Π° ΠΎΠ±ΡΠ°Π±Π°ΡΡΠ²Π°Π΅ΠΌΡΡ ΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΡ. ΠΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ ΠΏΡΠ΅Π΄ΠΏΠΎΡΡΠΈΡΠ΅Π»ΡΠ½ΡΠ΅ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ΅ΠΆΠΈΠΌΡ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΠΠ£ ΠΏΠΎ ΠΎΠ±ΠΎΠ±ΡΠ΅Π½Π½ΠΎΠΌΡ ΠΊΡΠΈΡΠ΅ΡΠΈΡ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΡΡΠΈ
ΠΠ»ΠΈΡΠ½ΠΈΠ΅ ΡΠ²ΠΎΠΉΡΡΠ² ΡΠ°Π±ΠΎΡΠ΅ΠΉ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΠ΅Π΄Ρ Π½Π° ΡΠ΅ΡΠΎΡ ΠΎΠ²Π°ΡΠΎΡΡΡ ΠΏΠΎΠ²Π΅ΡΡ Π½ΠΎΡΡΠΈ ΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡ ΠΏΡΠΈ ΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎ-Π°Π±ΡΠ°Π·ΠΈΠ²Π½ΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠ΅
The results of experimental studies of the surface roughness parameters of ball bearing treadmills made of steel SHX-15 and the performance of the magnetic abrasive treatment process depending on the properties of the components of the working process medium are presented. The research used methods of mathematical modeling of the technological process of magnetic abrasive processing, subsequent analysis of the obtained multivariate regression equations to identify the most significant technological factors according to the criteria of their interaction and relative influence on surface roughness and processing performance. The relative total contribution to the change in the roughness of the treated surface (Ra, microns) and processing performance (ΞG, mg/min) was established: single control technological factors affect 29,1 % and 48,2 %, respectively; interacting control technological factors 46.8 % and 45.9 %, respectively. The controlling technological factors in descending order of the degree of influence by generalized significance are arranged in the sequence: hydrogen pH, gradient of magnetic induction B (T/mm), microhardness of abrasive HV (GPa), coolant viscosity Ξ³ (cSt), processing time t (s) and magnetic permeability Β΅ (mH/m). The interpretation of the physical mechanisms of interaction of controlling technological factors is given. The obtained results of a quantitative assessment of the relative total contribution of single control technological factors can be used in assigning modes of magnetic abrasive treatment of bearing rings, and their interaction β in studies of the synergism of the parameters of the working technological environment, which allows obtaining a much greater effect than using each parameter separately.ΠΡΠΈΠ²Π΅Π΄Π΅Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΡΠ΅ΡΠΎΡ
ΠΎΠ²Π°ΡΠΎΡΡΠΈ ΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΠ΅ΠΉ Π±Π΅Π³ΠΎΠ²ΡΡ
Π΄ΠΎΡΠΎΠΆΠ΅ΠΊ ΡΠ°ΡΠΈΠΊΠΎΠ²ΡΡ
ΠΏΠΎΠ΄ΡΠΈΠΏΠ½ΠΈΠΊΠΎΠ² ΠΈΠ· ΡΡΠ°Π»ΠΈ Π¨Π₯-15 ΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎ-Π°Π±ΡΠ°Π·ΠΈΠ²Π½ΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ Π² Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ ΡΠ²ΠΎΠΉΡΡΠ² ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠΎΠ² ΡΠ°Π±ΠΎΡΠ΅ΠΉ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΠ΅Π΄Ρ. ΠΡΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡΡ
ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎ-Π°Π±ΡΠ°Π·ΠΈΠ²Π½ΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ, ΠΏΠΎΡΠ»Π΅Π΄ΡΡΡΠ΅Π³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
ΠΌΠ½ΠΎΠ³ΠΎΡΠ°ΠΊΡΠΎΡΠ½ΡΡ
ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΉ ΡΠ΅Π³ΡΠ΅ΡΡΠΈΠΈ Π΄Π»Ρ Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π·Π½Π°ΡΠΈΠΌΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΠΏΠΎ ΠΊΡΠΈΡΠ΅ΡΠΈΡΠΌ ΠΈΡ
Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ ΠΈ ΠΎΡΠ½ΠΎΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ Π²Π»ΠΈΡΠ½ΠΈΡ Π½Π° ΡΠ΅ΡΠΎΡ
ΠΎΠ²Π°ΡΠΎΡΡΡ ΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΠΈ ΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ ΠΎΡΠ½ΠΎΡΠΈΡΠ΅Π»ΡΠ½ΡΠΉ ΡΡΠΌΠΌΠ°ΡΠ½ΡΠΉ Π²ΠΊΠ»Π°Π΄ Π² ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΡΠ΅ΡΠΎΡ
ΠΎΠ²Π°ΡΠΎΡΡΠΈ ΠΎΠ±ΡΠ°Π±ΠΎΡΠ°Π½Π½ΠΎΠΉ ΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΠΈ (Ra, ΠΌΠΊΠΌ) ΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ (ΞG, ΠΌΠ³/ΠΌΠΈΠ½): ΠΎΠ΄ΠΈΠ½ΠΎΡΠ½ΡΡ
ΡΠΏΡΠ°Π²Π»ΡΡΡΠΈΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² 29,1 % ΠΈ 48,2 % ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ; Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΡΡΡΠΈΡ
ΡΠΏΡΠ°Π²Π»ΡΡΡΠΈΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² 46,8 % ΠΈ 45,9 % ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ. Π£ΠΏΡΠ°Π²Π»ΡΡΡΠΈΠ΅ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ°ΠΊΡΠΎΡΡ Π² ΠΏΠΎΡΡΠ΄ΠΊΠ΅ ΡΠ±ΡΠ²Π°Π½ΠΈΡ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ Π²Π»ΠΈΡΠ½ΠΈΡ ΠΏΠΎ ΠΎΠ±ΠΎΠ±ΡΠ΅Π½Π½ΠΎΠΉ Π·Π½Π°ΡΠΈΠΌΠΎΡΡΠΈ ΡΠ°ΡΠΏΠΎΠ»Π°Π³Π°ΡΡΡΡ Π² ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ: Π²ΠΎΠ΄ΠΎΡΠΎΠ΄Π½ΡΠΉ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Ρ pH, Π³ΡΠ°Π΄ΠΈΠ΅Π½Ρ ΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎΠΉ ΠΈΠ½Π΄ΡΠΊΡΠΈΠΈ B (Π’Π»/ΠΌΠΌ), ΠΌΠΈΠΊΡΠΎΡΠ²Π΅ΡΠ΄ΠΎΡΡΡ Π°Π±ΡΠ°Π·ΠΈΠ²Π° HV (ΠΠΠ°), Π²ΡΠ·ΠΊΠΎΡΡΡ Π‘ΠΠ Ξ³ (ΡΠ‘Ρ), Π²ΡΠ΅ΠΌΡ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ t (Ρ) ΠΈ ΠΌΠ°Π³Π½ΠΈΡΠ½Π°Ρ ΠΏΡΠΎΠ½ΠΈΡΠ°Π΅ΠΌΠΎΡΡΡ Β΅ (ΠΌΠΊΠΠ½/ΠΌ). ΠΡΠΈΠ²Π΅Π΄Π΅Π½ΠΎ ΡΠΎΠ»ΠΊΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ ΡΠΏΡΠ°Π²Π»ΡΡΡΠΈΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ². ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΎΡΠ½ΠΎΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΡΡΠΌΠΌΠ°ΡΠ½ΠΎΠ³ΠΎ Π²ΠΊΠ»Π°Π΄Π° ΠΎΠ΄ΠΈΠ½ΠΎΡΠ½ΡΡ
ΡΠΏΡΠ°Π²Π»ΡΡΡΠΈΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ ΠΏΡΠΈ Π½Π°Π·Π½Π°ΡΠ΅Π½ΠΈΠΈ ΡΠ΅ΠΆΠΈΠΌΠΎΠ² ΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎ-Π°Π±ΡΠ°Π·ΠΈΠ²Π½ΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΊΠΎΠ»Π΅Ρ ΠΏΠΎΠ΄ΡΠΈΠΏΠ½ΠΈΠΊΠΎΠ², Π° ΠΈΡ
(ΡΠ°ΠΊΡΠΎΡΠΎΠ²) Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ β Π² ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡΡ
ΡΠΈΠ½Π΅ΡΠ³ΠΈΠ·ΠΌΠ° ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΡΠ°Π±ΠΎΡΠ΅ΠΉ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΠ΅Π΄Ρ, ΡΡΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΠΏΠΎΠ»ΡΡΠΈΡΡ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎ Π±ΠΎΠ»ΡΡΠΈΠΉ ΡΡΡΠ΅ΠΊΡ, ΡΠ΅ΠΌ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΊΠ°ΠΆΠ΄ΠΎΠ³ΠΎ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ° Π² ΠΎΡΠ΄Π΅Π»ΡΠ½ΠΎΡΡΠΈ
ΠΠΠΠΠΠΠ ΠΠΠΠΠΠ ΠΠ ΠΠ¦ΠΠ‘Π‘Π ΠΠΠΠΠΠ’ΠΠ-ΠΠΠ ΠΠΠΠΠΠΠ ΠΠΠ ΠΠΠΠ’ΠΠ Π ΠΠΠ’ΠΠΠΠΠΠ¦ΠΠ― ΠΠ Π’ΠΠ₯ΠΠΠΠΠΠΠ§ΠΠ‘ΠΠΠ₯ Π ΠΠΠΠΠΠ
An optimization of magnetic-abrasive finishing process for radial cylindrical surfaces has been performed. The optimization relies on stochastic models derived from statistical analysis of experimental data obtained by applying experimental design techniques. Dependencies of surface roughness and specific material removal rate from technological modes described by regression models in the form of 3rd-degree polynomial functions have been studied. Complex relationships and interdependencies between technological modes of magnetic-abrasive finishing process for radial cylindrical surfaces of ball-bearing races have been discovered and explained. As the result of the multi-criteria optimization, such parameters of technological modes have been identified, that ensure greater specific material removal rate within the targeted surface roughness tolerances.Β Π Π΅ΡΠ΅Π½Π° Π·Π°Π΄Π°ΡΠ° ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎ-Π°Π±ΡΠ°Π·ΠΈΠ²Π½ΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ ΡΠ°Π΄ΠΈΡΡΠ½ΡΡ
ΡΠΈΠ»ΠΈΠ½Π΄ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΠ΅ΠΉ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΡΠΎΡ
Π°ΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ, ΠΏΠΎΡΡΡΠΎΠ΅Π½Π½ΡΡ
ΠΏΠΎ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°ΠΌ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΡ
Π΄Π°Π½Π½ΡΡ
, ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΠ»Π°Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠΎΠ². ΠΠ·ΡΡΠ΅Π½Ρ Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΡΠ΅ΡΠΎΡ
ΠΎΠ²Π°ΡΠΎΡΡΠΈ ΠΎΠ±ΡΠ°Π±ΠΎΡΠ°Π½Π½ΠΎΠΉ ΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΠΈ ΠΈ ΡΠ΄Π΅Π»ΡΠ½ΠΎΠ³ΠΎ ΠΌΠ°ΡΡΠΎΠ²ΠΎΠ³ΠΎ ΡΡΠ΅ΠΌΠ° ΠΎΡ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ², ΠΎΠΏΠΈΡΠ°Π½Π½ΡΠ΅ ΡΠ΅Π³ΡΠ΅ΡΡΠΈΠΎΠ½Π½ΡΠΌΠΈ ΠΌΠΎΠ΄Π΅Π»ΡΠΌΠΈ Π² Π²ΠΈΠ΄Π΅ ΠΏΠΎΠ»ΠΈΠ½ΠΎΠΌΠΎΠ² ΡΡΠ΅ΡΡΠ΅Π³ΠΎ ΠΏΠΎΡΡΠ΄ΠΊΠ°. ΠΡΡΠ²Π»Π΅Π½ΠΎ ΠΈ ΠΎΠ±ΡΡΡΠ½Π΅Π½ΠΎ ΡΠ»ΠΎΠΆΠ½ΠΎΠ΅ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ ΠΈ Π²Π·Π°ΠΈΠΌΠΎΠ²Π»ΠΈΡΠ½ΠΈΠ΅ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎ-Π°Π±ΡΠ°Π·ΠΈΠ²Π½ΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ ΡΠ°Π΄ΠΈΡΡΠ½ΡΡ
ΡΠΈΠ»ΠΈΠ½Π΄ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΠ΅ΠΉ ΠΊΠΎΠ»Π΅Ρ ΡΠ°ΡΠΈΠΊΠΎΠΏΠΎΠ΄ΡΠΈΠΏΠ½ΠΈΠΊΠΎΠ². ΠΠΎ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°ΠΌ ΠΌΠ½ΠΎΠ³ΠΎΠΊΡΠΈΡΠ΅ΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ Π·Π½Π°ΡΠ΅Π½ΠΈΡ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ΅ΠΆΠΈΠΌΠΎΠ², ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°ΡΡΠΈΡ
ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΡΠ΄Π΅Π»ΡΠ½ΠΎΠ³ΠΎ ΠΌΠ°ΡΡΠΎΠ²ΠΎΠ³ΠΎ ΡΡΠ΅ΠΌΠ° ΠΏΡΠΈ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΡΡ
Π½Π° Π΄ΠΎΠΏΡΡΡΠΈΠΌΡΡ ΡΠ΅ΡΠΎΡ
ΠΎΠ²Π°ΡΠΎΡΡΡ ΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΠΈ.
ΠΠΠ€ΠΠ ΠΠΠ¦ΠΠΠΠΠΠ ΠΠΠΠΠΠ¬Π§ΠΠΠΠ ΠΠΠ ΠΠ ΠΠΠΠ ΠΠ‘Π’Π Π£ΠΠ’Π£Π Π« ΠΠΠΠΠ ΠΠΠΠΠΠ«Π₯ Π‘Π’ΠΠΠΠ ΠΠ Π ΠΠΠ‘Π’ΠΠ¦ΠΠΠΠΠ ΠΠΠ ΠΠΠ’ΠΠΠ‘ΠΠΠΠΠ ΠΠΠΠ‘Π’ΠΠ§ΠΠ‘ΠΠΠ ΠΠΠ€ΠΠ ΠΠΠ¦ΠΠ ΠΠΠ Π«ΠΠΠ
Dependence of grain size of alloyed high-strength steels of austenitic, bainitic, maraging classes on temperature and degree of deformation at non-stationary intensive plastic deformation by explosion has been studied. A model which enables to calculate dispergating limit value considering dependence of coefficient of grain-boundary diffusion on degree of deformation and temperature is constructed. The results of calculations by the offered formula and their comparing to experimental data show satisfactory coincidence. A rejection is 3β5%. It is set that the intensive growing shallow under the action of high-speed flowage the explosion of alloyed high-strength steels takes place at the degrees of deformation 20β30%. Increase of degree of deformation to 30β40% does not cause the change of size of grain. At deformations more than 40β50% the accumulated flowage causes additional local warming-up of material and development of recrystallizational processes, sizes of grain increase as a result. At deformations higher 50β60% appearances of cracks in materials is possible.ΠΠ·ΡΡΠ΅Π½Π° Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΡ ΡΠ°Π·ΠΌΠ΅ΡΠ° Π·Π΅ΡΠ½Π° Π»Π΅Π³ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Π²ΡΡΠΎΠΊΠΎΠΏΡΠΎΡΠ½ΡΡ
ΡΡΠ°Π»Π΅ΠΉ Π°ΡΡΡΠ΅Π½ΠΈΡΠ½ΠΎΠ³ΠΎ, Π±Π΅ΠΉΠ½ΠΈΡΠ½ΠΎΠ³ΠΎ, ΠΌΠ°ΡΡΠ΅Π½ΡΠΈΡΠ½ΠΎΡΡΠ°ΡΠ΅ΡΡΠ΅Π³ΠΎ ΠΊΠ»Π°ΡΡΠΎΠ² ΠΎΡ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΡ ΠΈ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ Π΄Π΅ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΏΡΠΈ Π½Π΅ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠ΅Π½ΡΠΈΠ²Π½ΠΎΠΉ ΠΏΠ»Π°ΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π΄Π΅ΡΠΎΡΠΌΠ°ΡΠΈΠΈ Π²Π·ΡΡΠ²ΠΎΠΌ. ΠΠΎΡΡΡΠΎΠ΅Π½Π° ΠΌΠΎΠ΄Π΅Π»Ρ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠ°Ρ ΡΠ°ΡΡΡΠΈΡΠ°ΡΡ Π²Π΅Π»ΠΈΡΠΈΠ½Ρ ΠΏΡΠ΅Π΄Π΅Π»Π° Π΄ΠΈΡΠΏΠ΅ΡΠ³ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΡΡΠΈΡΡΠ²Π°ΡΡΠ°ΡΠ·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΡ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠ° Π·Π΅ΡΠ½ΠΎΠ³ΡΠ°Π½ΠΈΡΠ½ΠΎΠΉ Π΄ΠΈΡΡΡΠ·ΠΈΠΈ ΠΎΡ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ Π΄Π΅ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΈ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΡ. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΡΠ°ΡΡΠ΅ΡΠΎΠ² ΠΏΠΎ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠΉ ΡΠΎΡΠΌΡΠ»Π΅ ΠΈ ΠΈΡ
ΡΡΠ°Π²Π½Π΅Π½ΠΈΠ΅ Ρ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΠΌΠΈ Π΄Π°Π½Π½ΡΠΌΠΈ ΠΏΠΎΠΊΠ°Π·ΡΠ²Π°ΡΡ ΡΠ΄ΠΎΠ²Π»Π΅ΡΠ²ΠΎΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠ΅ ΡΠΎΠ²ΠΏΠ°Π΄Π΅Π½ΠΈΠ΅. ΠΡΠΊΠ»ΠΎΠ½Π΅Π½ΠΈΠ΅ ΡΠΎΡΡΠ°Π²Π»ΡΠ΅Ρ 3-5%. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ ΠΈΠ½ΡΠ΅Π½ΡΠΈΠ²Π½ΠΎΠ΅ ΠΈΠ·ΠΌΠ΅Π»ΡΡΠ΅Π½ΠΈΠ΅ ΠΏΠΎΠ΄ Π΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ΠΌ Π²ΡΡΠΎΠΊΠΎΡΠΊΠΎΡΠΎΡΡΠ½ΠΎΠΉ ΠΏΠ»Π°ΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π΄Π΅ΡΠΎΡΠΌΠ°ΡΠΈΠΈ Π²Π·ΡΡΠ²ΠΎΠΌ Π²ΡΡΠΎΠΊΠΎΠΏΡΠΎΡΠ½ΡΡ
ΡΡΠ°Π»Π΅ΠΉ ΠΏΡΠΎΠΈΡΡ
ΠΎΠ΄ΠΈΡ ΠΏΡΠΈ ΡΡΠ΅ΠΏΠ΅Π½ΡΡ
Π΄Π΅ΡΠΎΡΠΌΠ°ΡΠΈΠΈ 20-30%. Π£Π²Π΅Π»ΠΈΡΠ΅Π½ΠΈΠ΅ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ Π΄Π΅ΡΠΎΡΠΌΠ°ΡΠΈΠΈ Π΄ΠΎ 30-40% Π½Π΅ ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡ ΠΊ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΠ°Π·ΠΌΠ΅ΡΠ° Π·Π΅ΡΠ½Π°. ΠΡΠΈ Π΄Π΅ΡΠΎΡΠΌΠ°ΡΠΈΡΡ
Π±ΠΎΠ»Π΅Π΅ 40-50% Π½Π°ΠΊΠΎΠΏΠ»Π΅Π½Π½Π°Ρ ΠΏΠ»Π°ΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ Π΄Π΅ΡΠΎΡΠΌΠ°ΡΠΈΡ, Π²ΡΠ·ΡΠ²Π°ΡΡΠ°Ρ Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΡΠΉ Π»ΠΎΠΊΠ°Π»ΡΠ½ΡΠΉ ΡΠ°Π·ΠΎΠ³ΡΠ΅Π² ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Π°, ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»ΠΈΠ²Π°Π΅Ρ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΡΠ΅ΠΊΡΠΈΡΡΠ°Π»Π»ΠΈΠ·Π°ΡΠΈΠΎΠ½Π½ΡΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ², Π² ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ ΡΠ΅Π³ΠΎ ΡΠ°Π·ΠΌΠ΅ΡΡ Π·Π΅ΡΠ½Π° ΡΠ²Π΅Π»ΠΈΡΠΈΠ²Π°ΡΡΡΡ. ΠΡΠΈ Π΄Π΅ΡΠΎΡΠΌΠ°ΡΠΈΡΡ
Π²ΡΡΠ΅ 50-60% Π² ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Π°Ρ
Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎ ΠΏΠΎΡΠ²Π»Π΅Π½ΠΈΠ΅ ΡΡΠ΅ΡΠΈΠ½
Estimation of Chip Crushing Rate
In order to analyze chip crushing rate it is proposed to use a sieve analysis and methods of mathematical statistics which are applied in powder metallurgy, peat and coal industries and other branches. Estimation in fluctuation of chip size, stability of its crushing under various cutting conditions, materials and changes of machining conditions have been investigated on the basis of chip fractional composition. Distribution curves and histograms show dominant size of chips. The sieve analysis of chip crushing rate has been applied in deep drilling of steel and grey cast iron
Optimization of Wastewater Treatment Process on Energy Costs at Truck and Tractor Washing Posts
The paper considers a process pertaining to purification of oily effluents while using electrocoagulation, electro-flotation and an electromagnetic hydro-cyclone, implemented with the help of a laboratory unit (Patent of the Republic of Belarus for the invention No 21229). The investigations have been carried out with the purpose to optimize specific energy consumption for the process of cleaning fuel and lubricants effluents. The following investigation methods have been applied β a literature review, a comparative analysis, an experiment execution, a mathematical modeling. Content of oil products in wastewater before and after treatment has been evaluated in the analytical laboratory of the Belarusian State Agrarian Technical University in accordance with standard methods. Purification of the oily effluents has been made with the help of a laboratory unit while using electroflotocoagulation method with removal of floated sludge in an electromagnetic hydrocyclone. This cleaning method makes it possible to increase a degree of water disinfection, provides a closed water supply, rational use of water resources, reduction of harmful effects of pollutants on the environment. An experimental design technique has been worked out and a three-level Box β Behnken design has been implemented in the paper. The problem concerning optimization of the purification process on energy costs has been solved without worsening the required concentration indices of petroleum products in water after treatment . Mathematical models have been obtained and optimal purification modes have been determined at the lowest specific energy costs and with sufficiently high degree of purification. Significance of regression coefficients has been estimated by Student criterion. It has been established that while using the proposed unit it is possible to obtain a degree of wastewater purification at automotive equipment washing stations with its performanceΒ GΒ = 0.7 l/s, current densityΒ jΒ = 150 A/m2. The degree of purification, determined by ratio of pollutant concentrations before and after purification, is up to 99.9 %. The results can be used in implementation of microprocessor control of cleaning mode while taking an initial concentration of pollution, unit capability, current density of an electroflotocoagulator as control action factors
Rectification of cast through foam-ceramic filters is an effective method of metal quality improvement
The article presents comparative analysis of various classes of sponge permeable materials according to their structural, hydrodynamic, physicomechanical and filter characteristics. It is shown that foam-ceramic filters are most effective for rectification of metal alloys of nonmetal lie inclusions