TORQUE DETERMINATION OF A FACE MAGNETIC COUPLING AT THE ENGINEERING DESIGN STAGE

2020 ◽  
pp. 27-31
Author(s):  
A. Ya. Krasilnikov ◽  
A. A. Krasilnikov
Keyword(s):  
Engineering Design ◽  
Electric Motor ◽  
Permanent Magnets ◽  
Mathematical Expression ◽  
Magnetic Coupling ◽  
Design Stage ◽  
Torsional Moment ◽  
Phase Shift Angle ◽  
The Face ◽  
Highly Coercive Permanent Magnets

In article the determination possibility of the transferring torsional moment of the face magnetic coupling with highly coercive permanent magnets is considered. The received mathematical expression allows at a stage of the engineering design to define the transferring torsional moment of the face magnetic coupling depending on the asynchronous electric motor maximum torque data given by the directory on electric motors, and to calculate a phase shift angle of semicouplings taking into account their inertia moments, driven and slave rotating masses of machine, the operating torques of the electric motor, magnetic coupling and the machine itself on the stages of documentation development work.

scholarly journals Automatic control system of the mechatronic module

2021 ◽  
Vol 29 (3) ◽  
pp. 122-136
Author(s):  
Vladimir E. Lysov ◽  
Vasily A. Polyakov
Keyword(s):  
Control System ◽  
Automatic Control ◽  
Automatic Control System ◽  
Electric Motor ◽  
Permanent Magnets ◽  
New Approach ◽  
Positioning Control ◽  
The Face ◽  
Face Plate ◽  
Deformation Compensation

The paper discusses a new approach to improving the accuracy of reproducing the task signal by a precision circular transfer table based on the implementation in the form of a mechatronic module. This design eliminates the disadvantages of the traditional design, such as backlash, failure when fixing the face-plate. The mechatronic module is a gearless connection between the face-plate and the electric motor. The new design required a new approach to the operation of the automatic tracking and stage positioning control system. In the process of stage positioning, thermal deformations occur, and therefore, a feature is the inclusion of an additional automatic control system for the cooling of an executive synchronous electric motor with permanent magnets in the rotor. The paper deals with the issue of the interrelationship between the positioning and tracking systems with the thermal deformation compensation system. Simulation of the operation of two systems has been carried out.

Genetic algorithm application for optimization of geometry of synchronous electric motor with permanent magnets by criterion of electromagnetic torque

2019 ◽  
pp. 56-62
Author(s):  
I. N. Belezyakov ◽  
K. G. Arakancev
Keyword(s):  
Genetic Algorithm ◽  
Electric Motor ◽  
Permanent Magnets ◽  
Evolutionary Optimization ◽  
Electric Machines ◽  
Geometric Parameters ◽  
Geometrical Parameters ◽  
Electromagnetic Torque ◽  
Automatic Control Systems ◽  
Optimization Of Geometry

At present time there is a need to develop a methodology for electric motors design which will ensure the optimality of their geometrical parameters according to one or a set of criterias. With the growth of computer calculating power it becomes possible to develop methods based on numerical methods for electric machines computing. The article describes method of a singlecriterion evolutionary optimization of synchronous electric machines with permanent magnets taking into account the given restrictions on the overall dimensions and characteristics of structural materials. The described approach is based on applying of a genetic algorithm for carrying out evolutionary optimization of geometric parameters of a given configuration of electric motor. Optimization criteria may be different, but in automatic control systems high requirements are imposed to electromagnetic torque electric machine produces. During genetic algorithm work it optimizes given geometric parameters of the electric motor according to the criterion of its torque value, which is being calculated using finite element method.

Determination of the shear force of high-coercive permanent magnets from an alloy of neodymium—iron—boron rare-earth elements of 5 mm thickness

2020 ◽  
pp. 7-10
Author(s):  
A.Ya. Krasil'nikov ◽  
A.A. Krasilnikov ◽  
D.V. Taranov
Keyword(s):  
Rare Earth ◽  
Shear Force ◽  
Permanent Magnets ◽  
Magnetic System ◽  
Magnetic Coupling ◽  
Magnetic Systems ◽  
Neodymium Iron Boron ◽  
Magnetic Couplings ◽  
Standard Calculation

The possibility of applying the standard calculation of the shear force of thin high-coercive neodymium— iron—boron permanent magnets in magnetic systems and magnetic couplings is considered. A correction factor is proposed for calculating the shear force in systems with thin magnets, which allows at the stage of developing sealed equipment to calculate the shear force of permanent magnets in these systems. Keywords: magnetic system, magnetic coupling, permanent magnet, shear force. [email protected]

scholarly journals Development of a high-quality brushless dc electric drive systems model

Vestnik IGEU ◽  
2020 ◽  
pp. 31-45
Author(s):  
T.H. Abuziarov ◽  
A.S. Plehov ◽  
A.B. Dar’enkov ◽  
A.I. Ermolaev
Keyword(s):  
Electric Drive ◽  
Electric Motor ◽  
Permanent Magnets ◽  
Structural Features ◽  
Bldc Motor ◽  
Electric Drives ◽  
Brushless Dc ◽  
Systems Model ◽  
Semiconductor Converter ◽  
Torque Pulsations

When designing electric drives based on brushless DC motors with permanent magnets (BLDC), which have low level torque pulsations, the problem of modelling non-standard topological solutions appears. The known models of BLDC motors are either based on the assumptions about the symmetry of the stator pa-rameters of the electric motor and/or the ideal form of the phase back-EMF waveform, which reduce the accuracy of evaluating the effectiveness of the proposed solutions or prove unusable for modelling an operation of the electric motor with a non-standard semiconductor converter. It is necessary to develop a mathematical model of the BLDC motor-based electric drive that takes into account the structural features of the electric motor and allows for semiconductor converter configuration variability. The model is designed in the Matlab Simulink environment. The verification is carried out by comparing the modelling results with experimental data obtained previously by other researchers. The proposed method for generating phase back-EMF in the BLDC motor model provides the possibility for the user to set the EMF form templates independent for each phase. The proposed method for stator circuit simulating provides the user with access to each of the stator windings leads as well as with the possibility of asymmetric determination of each parameter of the electric motor. Upon verification, it has been shown that the difference in the control points between the simulated and experimental speed-torque curves does not exceed 3,5 %. The developed model allows analyzing the static and dynamic characteristics of operation modes of non-standard topology BLDC motor-based electric drives taking into account the stator pa-rameters asymmetry and the real phase back-EMF waveform. The specified features of the model allow exploring the operation of the designed electric drive, taking into account the BLDC motor and converter design. The model can be applied when checking atypical design decisions and when changing the set parameters of the electric drive and restrictions on working conditions and target functions to refine the control system algorithms and automate the search for optimal parameters of the motor and the semiconductor converter.

Highly coercive permanent magnets in standard magnetic clutches

2009 ◽  
Vol 29 (4) ◽  
pp. 342-344
Author(s):  
Ya. A. Krasil’nikov ◽  
A. A. Krasil’nikov
Keyword(s):  
Permanent Magnets ◽  
Highly Coercive Permanent Magnets

scholarly journals How Concept Selection Tools Impact the Development of Creative Ideas in Engineering Design Education

2018 ◽  
Vol 140 (5) ◽  
Author(s):  
Xuan Zheng ◽  
Sarah C. Ritter ◽  
Scarlett R. Miller
Keyword(s):  
Decision Making ◽  
Engineering Design ◽  
Design Education ◽  
Cognitive Biases ◽  
Design Stage ◽  
Concept Selection ◽  
Engineering Design Education ◽  
Student Teams ◽  
The Impact ◽  
Selection Tools

Concept selection tools have been heavily integrated into engineering design education in an effort to reduce the risks and uncertainties of early-phase design ideas and aid students in the decision-making process. However, little research has examined the utility of these tools in promoting creative ideas or their impact on student team decision making throughout the conceptual design process. To fill this research gap, the current study was designed to compare the impact of two concept selection tools, the concept selection matrix (CSM) and the tool for assessing semantic creativity (TASC) on the average quality (AQL) and average novelty (ANV) of ideas selected by student teams at several decision points throughout an 8-week project. The results of the study showed that the AQL increased significantly in the detailed design stage, while the ANV did not change. However, this change in idea quality was not significantly impacted by the concept selection tool used, suggesting other factors may impact student decision making and the development of creative ideas. Finally, student teams were found to select ideas ranked highly in concept selection tools only when these ideas met their expectations, indicating that cognitive biases may be significantly impeding decision making.

scholarly journals A Requirement Engineering Framework for Electric Motors Development

2018 ◽  
Vol 8 (12) ◽  
pp. 2391 ◽  
Author(s):  
Christian Rivera ◽  
Javier Poza ◽  
Gaizka Ugalde ◽  
Gaizka Almandoz
Keyword(s):  
Electric Motor ◽  
Development Process ◽  
Requirement Engineering ◽  
Requirements Specification ◽  
Design Stage ◽  
Electric Motors ◽  
Critical Part ◽  
Design Requirements

The applications using electric motors have increased in the last decade. Some of these applications encounter the need for tailor-made motors that must meet demanding requirements. Therefore, the specification stage of an electric motor is a critical part of its development. If this stage is properly addressed, then future failures in the development process can be avoided. This paper presents a requirement engineering framework to support small-medium electric motors designers/manufacturers with the development of their product. The framework identifies the stakeholders and the tasks that they should undertake to finish a successful requirements specification stage. The framework is made from the designer/manufacturer’s perspective and it emphasizes the derivation of specialized requirements (lower-level). The result of the framework is well-defined requirements that form the design requirements specification of the motor that leads to the beginning of the design stage.

An Approach to Identify Six Sigma Robust Solutions of Multi/Many-Objective Engineering Design Optimization Problems

2015 ◽  
Vol 137 (5) ◽  
Author(s):  
Tapabrata Ray ◽  
Md Asafuddoula ◽  
Hemant Kumar Singh ◽  
Khairul Alam
Keyword(s):  
Design Optimization ◽  
Engineering Design ◽  
Optimization Problems ◽  
Product Family ◽  
Latin Hypercube Sampling ◽  
General Aviation ◽  
Design Variables ◽  
Engineering Design Optimization ◽  
The Face ◽  
And Performance

In order to be practical, solutions of engineering design optimization problems must be robust, i.e., competent and reliable in the face of uncertainties. While such uncertainties can emerge from a number of sources (imprecise variable values, errors in performance estimates, varying environmental conditions, etc.), this study focuses on problems where uncertainties emanate from the design variables. While approaches to identify robust optimal solutions of single and multi-objective optimization problems have been proposed in the past, we introduce a practical approach that is capable of solving robust optimization problems involving many objectives building on authors’ previous work. Two formulations of robustness have been considered in this paper, (a) feasibility robustness (FR), i.e., robustness against design failure and (b) feasibility and performance robustness (FPR), i.e., robustness against design failure and variation in performance. In order to solve such formulations, a decomposition based evolutionary algorithm (DBEA) relying on a generational model is proposed in this study. The algorithm is capable of identifying a set of uniformly distributed nondominated solutions with different sigma levels (feasibility and performance) simultaneously in a single run. Computational benefits offered by using polynomial chaos (PC) in conjunction with Latin hypercube sampling (LHS) for estimating expected mean and variance of the objective/constraint functions has also been studied in this paper. Last, the idea of redesign for robustness has been explored, wherein selective component(s) of an existing design are altered to improve its robustness. The performance of the strategies have been illustrated using two practical design optimization problems, namely, vehicle crash-worthiness optimization problem (VCOP) and a general aviation aircraft (GAA) product family design problem.

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