The invention belongs to the technical field of complex sheet
metal part bending, and discloses a
machine learning-based complex sheet
metal part bending device and a bending parameter optimization process, the
machine learning-based complex sheet
metal part bending device comprises a bending frame body, a reinforcing table and a bending table, the reinforcing table is arranged in the bending frame body, and the bending table is fixedly mounted in the bending frame body; two reinforcing rods are fixedly mounted in each of the bending frame body and the reinforcing table, through cooperation of a fitting plate, a two-way
threaded rod, a reinforcing strip, a contact block, a leveling plate, a protective cover, a twisting strip and an arc-shaped plate, the complex sheet metal part is placed on the surface of the fitting plate for subsequent bending, the twisting strip is rotated
clockwise, and therefore the complex sheet metal part is bent. According to the sheet metal part bending device, the two-way
threaded rod connected with the two-way
threaded rod is driven to rotate, workers are prevented from being accidentally injured in the sheet metal part bending process, the safety of the bending device is improved, the contact block moves at one end of the reinforcing strip, and the contact block is supported through the two-way threaded rod and the reinforcing strip, so that the moving stability of the contact block is improved.