“…Significant advantages over various indicators have similarity criteria. Being dimensionless complexes, they are independent of the dimensions of the compared structures [4]. In works [3; 5], based on the second and third similarity theorems, the number and composition of the criteria needed to create new devices from previously developed ones are established.…”
The article presents the verification of the method for calculating acoustic-magnetic devices parameters. Periodic greenhouse complex pipe replacement makes a problem of replacing acoustic-magnetic devices. The scientific problem is the design of acoustic-magnetic devices with processing geothermal water optimal efficiency using pipes of various diameters. To calculate the device parameters using the existing methods based on the similarity theory, experimental studies were conducted with five acoustic-magnetic devices for pipes of various diameters on a special test stand. The seven similarity criteria were established and the regression analysis method was used to create a regression equation for the resulting variable -the efficiency of scale formation after geothermal water treatment with an acoustic-magnetic device. Regression equation analysis allows to determine the three significant criteria for ferrite ring properties and geometric characteristics, the acoustic-magnetic device, magnetic and acoustic components. In order to verify the considered methods of calculating the acoustic-magnetic device parameters, experimental studies were carried out according to the experiment plan on the test stand with the acoustic-magnetic device for a pipe with internal diameter of 12 mm. When experimental data were processed, regression analysis methods were used to obtain a multiple regression equation. According to the research results, it was found that indicators of the experimental and control group devices installed on pipes in the greenhouse complex with various values of the internal diameter differ insignificantly. The device's performance indicators that were found experimentally and calculated from the model, also differ insignificantly. This fact proves the efficiency of the method used for calculating parameters in the acoustic-magnetic device design and, in addition, provides an opportunity to create devices with acceptable resulting indicator value for pipes of the required range.
“…Significant advantages over various indicators have similarity criteria. Being dimensionless complexes, they are independent of the dimensions of the compared structures [4]. In works [3; 5], based on the second and third similarity theorems, the number and composition of the criteria needed to create new devices from previously developed ones are established.…”
The article presents the verification of the method for calculating acoustic-magnetic devices parameters. Periodic greenhouse complex pipe replacement makes a problem of replacing acoustic-magnetic devices. The scientific problem is the design of acoustic-magnetic devices with processing geothermal water optimal efficiency using pipes of various diameters. To calculate the device parameters using the existing methods based on the similarity theory, experimental studies were conducted with five acoustic-magnetic devices for pipes of various diameters on a special test stand. The seven similarity criteria were established and the regression analysis method was used to create a regression equation for the resulting variable -the efficiency of scale formation after geothermal water treatment with an acoustic-magnetic device. Regression equation analysis allows to determine the three significant criteria for ferrite ring properties and geometric characteristics, the acoustic-magnetic device, magnetic and acoustic components. In order to verify the considered methods of calculating the acoustic-magnetic device parameters, experimental studies were carried out according to the experiment plan on the test stand with the acoustic-magnetic device for a pipe with internal diameter of 12 mm. When experimental data were processed, regression analysis methods were used to obtain a multiple regression equation. According to the research results, it was found that indicators of the experimental and control group devices installed on pipes in the greenhouse complex with various values of the internal diameter differ insignificantly. The device's performance indicators that were found experimentally and calculated from the model, also differ insignificantly. This fact proves the efficiency of the method used for calculating parameters in the acoustic-magnetic device design and, in addition, provides an opportunity to create devices with acceptable resulting indicator value for pipes of the required range.
“…Such equations represent approximation by power function the dependence of one dimensionless number, for example, the Nusselt similarity criterion, on other dimensionless numbers (for example, on the Grashof number for free convection and on the Reynolds number for forced flow, etc.). A similar approach is used in the field of materials science (in particular, to rationalize the graphical presentation of fatigue test results [1,8] in hydraulics and in heating engineering [24]). Provisions of similarity theory, dimensional analysis, and the method of characteristic scales, which represent different areas of generalized analysis, are used in most methods [24].…”
Section: Data Exploration Based On Data Normalizationmentioning
confidence: 99%
“…A similar approach is used in the field of materials science (in particular, to rationalize the graphical presentation of fatigue test results [1,8] in hydraulics and in heating engineering [24]). Provisions of similarity theory, dimensional analysis, and the method of characteristic scales, which represent different areas of generalized analysis, are used in most methods [24]. According to [24], such a transformation of information regarding test results is a variant of a special method to reduce the difficulties associated with the multiplicity of the internal and external parameters of the task.…”
Section: Data Exploration Based On Data Normalizationmentioning
confidence: 99%
“…Provisions of similarity theory, dimensional analysis, and the method of characteristic scales, which represent different areas of generalized analysis, are used in most methods [24]. According to [24], such a transformation of information regarding test results is a variant of a special method to reduce the difficulties associated with the multiplicity of the internal and external parameters of the task. Transforming the problem parameters with further transition to their dimensionless analogues makes it possible to obtain forms of dependencies between the quantities under study that are more convenient for analytical description, to predict the behavior of the system under study, and, after restoring the traditional form of the parameters from their transformed analogues, to formulate the obtained forecast guidelines for a specific engineering system.…”
Section: Data Exploration Based On Data Normalizationmentioning
Within the scope of this research, patterns of changes in the fatigue life and limit of metals under cyclic stress were identified and the most informative parameters were determined as the basis for developing a method for the universal transformation of experimental data on the fatigue of metals and alloys for their subsequent generalization. Experimental data on metal fatigue, obtained by a large number of authors for a wide range of grades of steels and alloys, under the influence of various combinations of factors, were systematized. A generalized dependence of the recalculated parameters of fatigue life and limit was obtained, its characteristics were assessed, and a sensitivity analysis was performed, confirming the universal nature of the obtained dependence. A system of parameters has been proposed making it possible to consider and forecast high-cycle fatigue processes for a wide range of metals and alloys, under the conditions of various combinations of operating factors, from unified positions and a more general point of view.
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