The application discloses an AI shoe
structure generation design method based on feature decoupling and topology maintenance, relates to the technical field of
digital manufacturing, and comprises the following steps: constructing condition
control parameters according to
crosstalk measurement parameters, and performing topology consistency measurement on a structure state constrained by the condition
control parameters to generate a topology risk field map; evaluating the
risk level of the topology risk field map, freezing high-risk areas on the topology risk field map, generating a
local structure freezing
mask and a freezing curve index set, performing selected area consistency write-back
processing and process constraint checking on the
local structure freezing
mask and the freezing curve index set, and outputting a manufacturable material mapping table. The application synchronously generates a topology risk field map by calculating
crosstalk measurement parameters, quantitatively predicts potential influences of style creativity on structure integrity, and realizes end-to-end connection from digital space
risk evaluation to manufacturing constraints in the physical world.