Practical assessment of homothetic dimensioning criteria for induction motors

Autor: M. Bailoni, M. De Martin, Alberto Tessarolo, M. Branz, D. Diffen
Přispěvatelé: IET, Tessarolo, Alberto, Branz, M., Bailoni, Martino, Diffen, D., DE MARTIN, Matteo
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Engineering
sizing (materials processing)
sizing equations
Sample (statistics)
electric machinery
electric machine dimensioning
four pole machine
Homothetic transformation
Set (abstract data type)
homothetic dimensioning criteria
induction motors
Electric machinery
Dimensioning
specification requirements
homothety
business.industry
Control engineering
homotetic laws
Sizing
industrial application
Power (physics)
size estimation
weight estimation
induction motors
sizing (materials processing)
electric machinery
four pole machine
homotetic laws
homothetic dimensioning criteria
induction motor sizing approach
industrial application
size estimation
specification requirements
weight estimation
electric machine dimensioning
homothety
induction motors
sizing equations

induction motor sizing approach
business
Induction motor
Popis: Induction motors are presently the most widespread kind of electric machinery used in industrial applications. In the engineering practice, it frequently happens that designers or final users have to roughly estimate the size, weight and some basic performance data of an induction motor based on few specification requirements such as its rated speed and power. This paper describes homothety as an effective answer to this problem. The main principles of homothety as an induction motor sizing approach are discussed and quantitative formulas are derived based on theoretical considerations. The homotetic laws are finally assessed considering a set of sample built four-pole machines (whose data are fully available). The assessment confirms homothety as an actually powerful approach for a first-attempt estimation of many motor data including size, weight, utilization factor, current density, electric loading, etc.
Databáze: OpenAIRE