Abstract: To address problems of tape edge deformation and gap control in the process of automatic winding forming of heat insulation, this paper proposes an optimization strategy of winding path of heat insulation based on particle swarm optimization algorithm. Firstly, the parametric model of variable curvature mandrel is established, and a calculation method of segmented geodesic winding path is proposed based on geodesic differential equations. Then, the multi-objective performance evaluation index is introduced to evaluate the performance of the winding path, so that the path planning problem is transformed into a multi-objective optimization problem. Finally, the optimization model of heat insulation winding is established, and the particle swarm optimization algorithm is used to solve the optimization problem. The simulation results show that compared with the ant colony optimization algorithm, the particle swarm optimization algorithm reduces the average number of iterations by 53.4%, shortens the average running time by 63.4%, and improves the quality of the winding path by 10.6%. It has higher solution efficiency and better path optimization ability, can meet the control requirements of tape edge deformation and gap, and ensure the winding quality of heat insulation winding forming.

Key words: heat insulation, winding path, segmented geodesic, multi-objective optimization, particle swarm optimization algorithm, composites