6. ULUSLARARASI MUHENDİSLİK MİMARLIK VE TASARIM KONGRESİ, İstanbul, Türkiye, 17 Aralık 2020, ss.675-685
Abstract: Six types of stator winding slot forms can be used in rotating electric machines. The operation
of rotating electrical machines with minimum losses within the desired load limits is directly related to
the form of the slot where the stator windings are placed, like all other components in the machine. For
each stator winding slot form, the groove leakage flux, the tooth head leakage fluxes depending on the
slot form, the coil head leakage flux differ in characteristic terms at different loads and different stator
winding structures. In the machine design process, the stator winding slot forms are automatically decided by looking at the preferred power values of the machine to be designed. However, for designers,
considering the flute leakage in deciding the stator winding slot form can provide an important advantage in terms of the losses caused by the slot leakage fluxes and therefore the machine's performance.
Slot form is normally considered standard for three-phase cage induction motors. Therefore, the stator
and rotor winding slot forms are not parameters that can be changed immediately by the designers in
order to obtain the desired outputs, taking into account the operating conditions of the motor. Including
the groove shape among the variable parameters during the design phase, the number of components
that can be changed for designers will increase, and more advantageous (such as silent running, etc.)
advanced motors can be designed. In this study, stator winding groove shape classification has been
performed using the “k-nearest neighbor classifier”, which is one of the populer machine learning methods. From the results, it is understood that using machine learning methods in deciding the slot form
can save a significant amount of time in machine design and lead to more advanced quality machine
designs.
Keywords: Stator Winding, Slot Form, Induction Motors, K-Nearest Neighbor Classifier