pyleecan.Classes.Notch module¶

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

class Notch(init_dict=None, init_str=None)[source]¶

Bases: FrozenClass

Abstract class for notches

VERSION = 1¶

get_Rbo()¶

Return the parent lamination bore radius (to make lam.notch[ii].notch_shape match lam.slot parent)

Parameters:: self (Notch) – A Notch object
Returns:: Rbo – The parent lamination bore radius [m]
Return type:: float

get_Ryoke()¶

Return the parent lamination yoke radius (to make lam.notch[ii].notch_shape match lam.slot parent)

Parameters:: self (Notch) – A Notch object
Returns:: Ryoke – The parent lamination yoke radius [m]
Return type:: float

is_outwards()¶

Return if the notch is outwards (on an external lamination) or inwards (on an internal lamination). (to make lam.notch[ii].notch_shape match lam.slot parent)

Parameters:: self (Notch) – A Notch object
Returns:: is_outwards – True if the Lamination is not internal and false if not. For yoke notch, result is negated.
Return type:: bool

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)[source]¶: Compare two objects and return list of differences

as_dict(type_handle_ndarray=0, keep_function=False, **kwargs)[source]¶

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()[source]¶: Creates a deepcopy of the object