pyleecan.Classes.BoreSinePole module

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

class BoreSinePole(N=8, k=1, delta_d=0.001, delta_q=None, W0=None, type_merge_slot=1, alpha=0, init_dict=None, init_str=None)

Bases: Bore

Class for Sine Field Pole Bore shape adapted from ‘Muller, Germar, et al. Berechnung Elektrischer Maschinen. Hoboken, NJ, United States, Wiley, 2008.’

VERSION = 1

get_bore_line(prop_dict=None)

Return the bore line description adapted sine field pole geometry from the text book: “Müller, Germar, et al. Berechnung Elektrischer Maschinen. Hoboken, NJ, United States, Wiley, 2008.” (“Calculation of electric machines”)

Parameters:

• self (BoreSinePole) – A BoreSinePole object

• prop_dict (dict) – Property dictionary to apply on the lines

Returns:

bore_list – List of bore lines

Return type:

list

get_pole_shape(phi)

Return the complex coordinates of the point at phi

Parameters:

• self (BoreSinePole) – A BoreSinePole object

• phi (float) – Angle where to compute the point [rad]

Returns:

Z – Coordinates of the requested point

Return type:

complex

comp_periodicity_spatial()

Compute the periodicity factor of the Bore

Parameters:

self (BoreSinePole) – A BoreSinePole object

Returns:

• per_a (int) – Number of spatial periodicities of the bore

• is_antiper_a (bool) – True if an spatial anti-periodicity is possible after the periodicities

plot_schematics(is_default=False, is_add_schematics=True, is_add_main_line=True, save_path=None, is_show_fig=True, fig=None, ax=None)

Plot the schematics of the slot

Parameters:

• self (BoreSinePole) – A BoreSinePole object

• is_default (bool) – True: plot default schematics, else use current slot values

• is_add_schematics (bool) – True to display the schematics information (W0, H0…)

• is_add_main_line (bool) – True to display “main lines” (slot opening and 0x axis)

• save_path (str) – full path including folder, name and extension of the file to save if save_path is not None

• is_show_fig (bool) – To call show at the end of the method

• fig (Matplotlib.figure.Figure) – existing figure to use if None create a new one

• ax (Matplotlib.axes.Axes object) – Axis on which to plot the data

Returns:

• fig (Matplotlib.figure.Figure) – Figure containing the schematics

• ax (Matplotlib.axes.Axes object) – Axis containing the schematics

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

property N

Number of Poles

Type:

int

Min:

0

property k

pole width modifier

Type:

float

Min:

0

property delta_d

d-axis air gap width

Type:

float

Min:

0

property delta_q

q-axis air gap width

Type:

float

Min:

0

property W0

Width of the pole

Type:

float

Min:

0