scholarly journals Mathematical Modelling and Parameter Determination of Reluctance Synchronous Motor with Squirrel Cage

2010 ◽  
Vol 61 (6) ◽  
pp. 357-364 ◽  
Author(s):  
Peter Hudák ◽  
Valéria Hrabovcová
Keyword(s):  
Mathematical Model ◽  
Mathematical Modelling ◽  
Synchronous Motor ◽  
Parameter Determination ◽  
Model Parameters ◽  
Squirrel Cage ◽  
Rotor Cage

Mathematical Modelling and Parameter Determination of Reluctance Synchronous Motor with Squirrel Cage The paper provides an analysis of reluctance synchronous motor (RSM) with asymmetrical rotor cage. Its performances during its starting up is investigated. A mathematical model is created on the basis of detailed investigation of model parameters. The RSM starting up by switching it directly across the line was simulated and verified by measurements.

Application of Torsion Test for Determination of Rheological Properties of 5019 Aluminium Alloy

2016 ◽  
Vol 682 ◽  
pp. 356-361 ◽  
Author(s):  
Konrad Laber ◽  
Anna Kawałek ◽  
Sylwester Sawicki ◽  
Henryk Dyja ◽  
Jacek Borowski ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Mathematical Modelling ◽  
Aluminium Alloy ◽  
Rheological Properties ◽  
Torsion Test ◽  
Hot Torsion ◽  
Hot Torsion Test

The paper presents the results of the study aimed at determination of plasticity of hard-deformed aluminium alloy grade 5019 in terms of parameters characteristic for the process of extrusion. The examinations were carried out in hot torsion test. Using the developed mathematical model of the analyzed alloy the mathematical modelling of torsion test was also performed.

scholarly journals Mathematical modelling of the CHP plant-10 power unit No 5 of “Baikal Energy Company” LLC to assess the efficiency of its modernisation

2021 ◽  
Vol 25 (2) ◽  
pp. 183-195
Author(s):  
F. V. Zabuga ◽  
V. E. Alekseyuk
Keyword(s):  
Mathematical Model ◽  
Power Plant ◽  
Mathematical Modelling ◽  
Power Unit ◽  
Low Pressure ◽  
Operating Conditions ◽  
Computer Assisted ◽  
Model Parameters ◽  
Programming System ◽  
Energy Company

The work aims to study the effect of changes in the drain scheme of the low-pressure regeneration on the energy and economic efficiency of the CHP plant-10 power unit No 5 of “Baikal Energy Company” LLC. In this study, we used a mathematical model of the power unit adjusted to the measurements results. The mathematical modelling of the power unit was performed using the “Computer-assisted programming system” application package. The created matematical model of the heat and power plant was tailored to the current state of the study object according to the three-stage identification procedure of the mathematical model parameters. We proposed a cycle arrangement under which three streams of the low-pressure drainages were redirected to the pump suction of the low-pressure heater. The improved mathematical model of the power unit allows the calculation of the parameters of both the existing and proposed cycle arrangements. According to the calculations, the temperature difference between the main condensate after the low-pressure heater 1 and the investigated drains after mixing is minimal and amounts to 3.2 °C. The suggested modernisation increases the energy efficiency of the power unit by 0.007% under the nominal operating conditions of the existing and proposed thermal circuit. In addition, the specific standard fuel consumption for electric generation is reduced by 0.052 g.s.s.f./kWh. The operating costs to implement the proposed engineering solutions amounted to 34,191 roubles. Considering the annual power plant extensive consumption factor, the payback period of the proposed modernisation will be 5.5 months. The savings for the first operation year are estimated at 18,423 roubles, based on the rate of return and depreciation expenses. The proposed approach combines mathematical modelling of operating power plants with a technique of increasing the efficiency of technical decision-making. The proposed versatile approach can be used for the modernisation of CHPs and other plants.

Theoretical and Experimental Research on Design of Non-Resonant Gear Transformer

2014 ◽  
Author(s):  
Wang Shiying ◽  
Lv Ming ◽  
Ya Gang ◽  
Liu Jiancheng ◽  
Liang Guoxing
Keyword(s):  
Mathematical Model ◽  
Experimental Research ◽  
Surface Finish ◽  
Fem Analysis ◽  
Theoretical Method ◽  
Parameter Determination ◽  
Design Parameters ◽  
Ultrasonic Assisted ◽  
Low Efficiency

Honing process is widely used to improve the surface finish of hardened gears. The existing challenging for this manufacturing process includes its low efficiency and excessive forces exerted on both of engaged gears and tools. Ultrasonic assisted honing has a number of superior advantages over the traditional methods. This paper presents a new theoretical method for the parameter determination of non-resonant gear transformer, which is the key component of ultrasonic assisted honing systems. A mathematical model for the ultrasonic assisted honing system is first established and solved with different design parameters by using the numerical method. The numerated results then are verified by the FEM analysis and experiments. It is found that the proposed method is effective and useful. The details will be addressed in the paper.

scholarly journals Graph-Demonstration of The Solutions of Engineering Tasks

2018 ◽  
Vol 9 (1) ◽  
pp. 103-106
Author(s):  
Fruzsina Horváth ◽  
László Pokorádi
Keyword(s):  
Mathematical Model ◽  
Mathematical Modelling ◽  
Main Part ◽  
Technical Education ◽  
Modelling Method ◽  
Calculation Task ◽  
Logical Tree ◽  
Optimal Set

Abstract During technical education it is a very difficult yet essential task to develop the good logical engineering thinking of students or pupils. One main part of this thinking is the determination of the optimal set of required input parameters for the calculation task mentioned above. The LogTreeMM (Logical Tree of Mathematical Modelling) method can help to solve this task. The aim of this paper is to show modification of the LogTreeMM method to determine the required parameters of a mathematical model by a simple case study.

scholarly journals An analytical approach to the HEMT noise wave model parameter determination

2017 ◽  
Vol 14 (1) ◽  
pp. 35-49
Author(s):  
Vladica Djordjevic ◽  
Zlatica Marinkovic ◽  
Olivera Pronic-Rancic ◽  
Vera Markovic
Keyword(s):  
Analytical Approach ◽  
Wave Model ◽  
High Electron Mobility Transistor ◽  
Intrinsic Noise ◽  
Parameter Determination ◽  
Second Step ◽  
Model Parameters ◽  
High Electron ◽  
Noise Parameters

This paper presents an analytical approach to determination of the noise wave model parameters for a high electron-mobility transistor working under different temperature and frequency conditions. The presented approach is composed of two steps and provides more efficient determination of these parameters than in the case of optimization procedures commonly applied for that purpose in circuit simulators. The first step is extraction of the noise parameters of transistor intrinsic circuit from the measured noise parameters of whole transistor using an analytical noise de-embedding procedure. The second step is calculation of the noise wave model parameters from the de-embedded intrinsic noise parameters using existing formulas. The accuracy of the presented approach is validated in a wide frequency and temperature range by comparison of the transistor noise parameters simulated for the determined noise wave model parameters with the measured noise parameters.

scholarly journals On the Application of the Particle Swarm Optimization to the Inverse Determination of Material Model Parameters for Cutting Simulations

Modelling ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 129-148
Author(s):  
Marvin Hardt ◽  
Deepak Jayaramaiah ◽  
Thomas Bergs
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Material Model ◽  
Cutting Process ◽  
Parameter Determination ◽  
Model Parameters ◽  
Swarm Optimization ◽  
Cutting Simulations ◽  
Number Of Iterations

The manufacturing industry is confronted with increasing demands for digitalization. To realize a digital twin of the cutting process, an increase of the model reliability of the virtual representation becomes necessary. Thereby, different models are required to represent the experimental behavior of the workpiece material or frictional interactions. One of the most utilized material models is the Johnson–Cook material model. The material model parameters are determined either by conventional or by non-conventional material tests, or inversely from the cutting process. However, the inverse parameter determination, where the model parameters are iteratively modified until a sufficient agreement between experimental and numerical results is reached, is not robust and requires a high number of iterations. In this paper, an approach for the inverse determination of material model parameters based on the Particle Swarm Optimization (PSO) is presented. The approach was investigated by the inverse re-identification of an initial parameter set. The conducted investigations showed that a material model parameter set can be determined within a small number of iterations. Thereby, the determined material model parameters resulted in deviations of approximately 1% in comparison to their target values. It was shown that the PSO is suitable for the inverse material parameter determination from cutting simulations.

Automated Parameter Determination of Advanced Constitutive Models

2005 ◽  
Author(s):  
Syed M. Rahman ◽  
Tasnim Hassan ◽  
S. Ranji Ranjithan
Keyword(s):  
Heuristic Search ◽  
Constitutive Models ◽  
Cyclic Stress ◽  
Cyclic Plasticity ◽  
Parameter Determination ◽  
Model Parameters ◽  
Optimization Approach ◽  
Analysis And Design ◽  
Chaboche Model

Parameter determination of advanced cyclic plasticity models which are developed for simulation of cyclic stress-strain and ratcheting responses is complex. This is mainly because of the large number of model parameters which are interdependent and three or more experimental responses are used in parameter determination. Hence the manual trial and error approach becomes quite tedious and time consuming for determining a reasonable set of parameters. Moreover, manual parameter determination for an advanced plasticity model requires in-depth knowledge of the model and experience with its parameter determination. These are few of the primary reasons for advanced cyclic plasticity models not being widely used for analysis and design of fatigue critical structures. These problems could be overcome through developing an automated parameter optimization system using heuristic search technique (e.g. genetic algorithm). This paper discusses the development of such an automatic parameter determination scheme for improved Chaboche model developed by Bari and Hassan [4]. A new stepped GA optimization approach which is found to be more efficient over the conventional GA approach in terms of fitness quality and optimization time is presented.

scholarly journals Research based on mathematical modeling of CHP-10 power unit No 5 “Baikal Energy Company” LLC to assess the efficiency of its modernization

2021 ◽  
Vol 289 ◽  
pp. 02002
Author(s):  
Fedor Zabuga ◽  
Vitalii Alekseiuk
Keyword(s):  
Mathematical Model ◽  
Power Plant ◽  
Mathematical Modelling ◽  
Power Unit ◽  
Low Pressure ◽  
Operating Conditions ◽  
Computer Assisted ◽  
Model Parameters ◽  
Programming System ◽  
Energy Company

The work aims to study the effect of changes in the drain scheme of the low-pressure regeneration on the energy and economic efficiency of the CHP plant-10 power unit No 5 of “Baikal Energy Company” LLC. In this study, we used a mathematical model of the power unit adjusted to the measurements results. The mathematical modelling of the power unit was performed using the “Computer-assisted programming system” application package. The created mathematical model of the heat and power plant was tailored to the current state of the study object according to the threestage identification procedure of the mathematical model parameters. We proposed a cycle arrangement under which three streams of the low-pressure drainages were redirected to the pump suction of the low-pressure heater. The improved mathematical model of the power unit allows the calculation of the parameters of both the existing and proposed cycle arrangements. According to the calculations, the temperature difference between the main condensate after the low-pressure heater 1 and the investigated drains after mixing is minimal and amounts to 3.2 °C. The suggested modernisation increases the energy efficiency of the power unit by 0.007% under the nominal operating conditions of the existing and proposed thermal circuit. In addition, the specific standard fuel consumption for electric generation is reduced by 0.052 gram of conventional fuel / kW·h. The operating costs to implement the proposed engineering solutions amounted to 34191 roubles. Considering the annual power plant extensive consumption factor, the payback period of the proposed modernisation will be 5.5 months. The savings for the first operation year are estimated at 18423 roubles, based on the rate of return and depreciation expenses. The proposed approach combines mathematical modelling of operating power plants with a technique of increasing the efficiency of technical decision-making. The proposed versatile approach can be used for the modernisation of CHPs and other plants.

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