Educational Test Rig for Non-Standard Electric Machines

Author(s):  
Z. Frank ◽  
J. Stepanek ◽  
K. Hruska
2013 ◽  
Vol 332 ◽  
pp. 297-304
Author(s):  
Liviu Ciupitu

The noncircular gears are used more and more in industrial applications. The paper presents an educational test rig for the kinematic study of non-circular gears. Two gears are studied from kinematic theoretically point of view: a gear with identically oval spur gears and another gear with identically elliptical spur gears, and simulation diagrams are presented. As for the testing rig, a gear with identically oval spur gears has been used. The researchers are able to draw with high precision the variation curve of output angle with respect to input angle. By using numerical methods for integration and differentiation other diagrams could be drawn and a comparation with simulation diagrams could be made.


Author(s):  
Fernando Augusto de Noronha Castro Pinto ◽  
Thiago Ritto ◽  
David Julian Gonzalez Maldonado ◽  
Diego Alejandro Godoy Diaz
Keyword(s):  

2019 ◽  
Vol 61 (12) ◽  
pp. 1192-1196
Author(s):  
Daniel Loos ◽  
Endre Barti ◽  
Rainer Wagener ◽  
Tobias Melz

2013 ◽  
Vol 41 (2) ◽  
pp. 501-516
Author(s):  
Abdullah Mohammed ◽  
Karam M. Emara ◽  
Mahmoud M. Nemat-Alla
Keyword(s):  

Author(s):  
I. N. Belezyakov ◽  
K. G. Arakancev

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.


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