The application discloses a rubber part
vulcanization deformation prediction and mold compensation method based on multi-field
coupling data and belongs to the technical field of rubber component
vulcanization data processing. In view of defects such as simplification of a traditional
simulation dynamics model, multi-field step-by-step decoupling, fixed material parameters, and mold relying on experience for mold modification, the application first constructs a standardized
data set through multi-dimensional testing, trains a temperature and
vulcanization degree double-factor
machine learning model, establishes a multi-field finite
element model containing a high-order viscoelastic and viscoplastic
coupling constitutive relation, adopts a segmented multi-factor correction Kamal equation, introduces pressure, auxiliary agent, heating rate, and thermal
oxygen aging correction factors, realizes synchronous
coupling solution of four fields of temperature, vulcanization dynamics,
mechanics and shrinkage, can expand flow and damage fields, extracts deformation,
residual stress, plastic strain and internal damage data through
simulation, reversely maps and differentially compensates a mold surface according to different zones, and iterates multiple indexes in a
closed loop until tolerances reach the standard.