Ship welding process optimization method based on RBF and MOPSO

• Main Authors: XIE YANG, LIU XIAOJUN, CAO XUWU, CHEN YU, ZHOU HONGGEN, LIU JINFENG, KANG CHAO, LI LEI
• Format: Patent
• Language: Chinese; English
• Published: 12.11.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention discloses a ship welding process optimization method based on an RBF and MOPSO, and belongs to the technical field of computer integrated manufacturing. The method comprises the following specific operation steps: establishing a welding process test scheme based on an orthogonal experimental design method; carrying out a welding process simulation test based on a thermal elastic-plastic finite element analysis method, and tracking and measuring to obtain an effective experimental data set of welding process parameters and quality of a welding joint; adopting an RBF algorithm to accurately predict the quality of the welding joint, and generalizing a function relation between the welding process parameters and welding quality; and taking welding forming coefficients and excess weld metal coefficients as optimization targets. According to an established multi-objective particle swarm optimization algorithm combining an RBF neural network and a self-adaptive weight strategy provided by the invention