pyleecan.Classes.LossFEA module

Method code available at https://github.com/Eomys/pyleecan/tree/master/pyleecan/Methods/Loss/LossFEA

class LossFEA(k_ed=None, k_hy=None, k_p=None, type_skin_effect=1, logger_name='Pyleecan.Loss', model_dict=None, Tsta=20, Trot=20, is_get_meshsolution=False, init_dict=None, init_str=None)

Bases: Loss

Simplified loss module, with predefined loss models for a quick setup

VERSION = 1

run()

Run the LossFEA module

selfLossFEA

A LossFEA object

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 k_ed

eddy current loss coefficients

Type:

float

property k_hy

hysteresis loss coefficients

Type:

float

property k_p

proximity loss coefficients

Type:

float

property type_skin_effect

Skin effect for resistance calculation (0 to ignore skin effect, 1 to consider it)

Type:

int