This invention discloses an automated
system and method for cold
extrusion camera
housing design driven by
artificial intelligence, belonging to the field of intelligent
manufacturing technology. The
system includes a preprocessing module, a parameter generation module, a
verification and prediction module, and an optimization module. The preprocessing module converts a 3D
product model into signed distance
field data; the parameter generation module, based on a conditional variational
autoencoder model, samples from the latent space to generate SDF data for the cold extruded part and process parameters for the billet; the
verification and prediction module performs geometric constraint
verification and forming quality prediction; and the optimization module achieves closed-
loop optimization of the design by adjusting the latent space sampling strategy. Through a self-learning
closed loop of product SDF, latent space encoding, cold
extrusion part generation, verification and prediction, and optimization feedback, end-to-end
intelligent design from product geometry to cold extruded parts and billets is achieved, significantly reducing reliance on manual labor and
simulation costs, and improving design efficiency and quality.