Extending the Multiphysics Modelling of Electric Machines in a Digital Twin Concept

Author(s):  
Gabriel Mendes ◽  
Angela Ferreira
Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1006-P
Author(s):  
BENYAMIN GROSMAN ◽  
ANIRBAN ROY ◽  
DI WU ◽  
NEHA PARIKH ◽  
LOUIS J. LINTEREUR ◽  
...  

2019 ◽  
Vol 2019 (1) ◽  
pp. 27-30 ◽  
Author(s):  
Andreas Deuter ◽  
◽  
Florian Pethig ◽  
Keyword(s):  

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

The neural network models series used in the development of an aggregated digital twin of equipment as a cyber-physical system are presented. The twins of machining accuracy, chip formation and tool wear are examined in detail. On their basis, systems for stabilization of the chip formation process during cutting and diagnose of the cutting too wear are developed. Keywords cyberphysical system; neural network model of equipment; big data, digital twin of the chip formation; digital twin of the tool wear; digital twin of nanostructured coating choice


2020 ◽  
Author(s):  
Dedy Ariansyaha ◽  
Iñigo Fernàndez del Amo ◽  
John Ahmet Erkoyuncu ◽  
Merwan Agha ◽  
Dominik Bulka ◽  
...  
Keyword(s):  

2020 ◽  
Author(s):  
Ali Al-Yacoubb ◽  
Will Eaton ◽  
Melanie Zimmer ◽  
Achim Buerkle ◽  
Dedy Ariansyaha ◽  
...  

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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