pyleecan.Classes.WindingSC module

Method code available at https://github.com/Eomys/pyleecan/tree/master/pyleecan/Methods/Machine/WindingSC

class WindingSC(is_reverse_wind=False, Nslot_shift_wind=0, qs=3, Ntcoil=7, Npcp=2, type_connection=0, p=3, Lewout=0.015, conductor=- 1, coil_pitch=1, wind_mat=None, Nlayer=1, per_a=None, is_aper_a=None, end_winding=- 1, is_reverse_layer=False, is_change_layer=False, is_permute_B_C=False, dual_tri_phase_shift=None, is_wye=True, init_dict=None, init_str=None)

Bases: Winding

short-circuit winding (e.g. squirrel cage type)

VERSION = 1

NAME = 'short-circuit'

comp_connection_mat(Zs=None, p=None)

Compute the Winding Matrix (for winding type 10) type 10 : Squirrel cage Winding (elementary circuit loop involving bar n°1 and bar n°Zr for alphar0_rad=0) (Nlay_rad=Nlay_tan=1)

Parameters:

• self (Winding) – A: Winding object

• Zs (int) – Number of Slot (Integer >0)

• p (int) – Number of pole pairs (Integer >0)

Returns:

Winding Matrix (Nlay_rad, Nlay_tan, Zs, qs)

Return type:

numpy.ndarray

Raises:

WindingT10DefQsError – qs must be equal to Zs

get_dim_wind()

Get the two first dimension of the winding matrix

Parameters:

self (Winding) – A Winding object

Returns:

(Nrad, Ntan) – Number of layer in radial and tangential direction

Return type:

tuple

comp_periodicity()

Computes the winding matrix (anti-)periodicity

Parameters:

self (WindingSC) – A WindingSC object

Returns:

• per_a (int) – Number of spatial periods of the winding

• is_aper_a (bool) – True if the winding is anti-periodic over space

save(save_path='', is_folder=False, type_handle_old=2, type_compression=0)

Save the object to the save_path

Parameters:

• self – A pyleecan object

• save_path (str) – path to the folder to save the object

• is_folder (bool) – to split the object in different files: separate simulation machine and materials (json only)

• type_handle_old (int) – How to handle old file in folder mode (0:Nothing, 1:Delete, 2:Move to “Backup” folder)

• type_compression (int) – Available only for json, 0: no compression, 1: gzip

get_logger()

Get the object logger or its parent’s one

Parameters:

obj – A pyleecan object

Returns:

logger – Pyleecan object dedicated logger

Return type:

logging.Logger

compare(other, name='self', ignore_list=None, is_add_value=False)

Compare two objects and return list of differences

as_dict(type_handle_ndarray=0, keep_function=False, **kwargs)

Convert this object in a json serializable dict (can be use in __init__). type_handle_ndarray: int

How to handle ndarray (0: tolist, 1: copy, 2: nothing)

keep_functionbool

True to keep the function object, else return str

Optional keyword input parameter is for internal use only and may prevent json serializability.

copy()

Creates a deepcopy of the object