The assembly accuracy of flanges mounted on the spherical shell holes directly affects the overall assembly quality and performance in laser inertial confinement fusion (LICF) systems. In the flange assembly process, manufacturing errors in both the flange mounting holes and the flange body make it difficult to accurately evaluate the optimal assembly pose of flanges. To solve this problem, this study proposes an evaluation method for determining the optimal flange assembly. In this method, a pose evaluation model of flange assembly is developed, and the regulation mechanism derived from the Hunter Prey Optimization (HPO) algorithm is integrated into the Particle Swarm Optimization (PSO) framework. The objective is to minimize alignment deviations and determine the optimal flange assembly pose. First, key measurement points (MPs) on both the flange mounting holes and the flange surface are acquired to characterize the manufacturing errors and determine the actual initial pose of the flange. Based on these identified deviations and the assembly accuracy requirements, a set of assembly constraints is formulated. A pose evaluation model is then constructed, aiming to minimize the overall assembly error under these constraints. Subsequently, the proposed PSO
HPO algorithm is used to determine the optimal pose parameters of the flange. Finally, a simulation case of flange pose adjustment demonstrates that the proposed algorithm substantially outperforms the singular value decomposition(SVD) and conventional PSO algorithm in terms of pose estimation accuracy. Specifically, the proposed method reduces the flange’s collinearity error by 78.86 % and coplanar error by 58.66 %. All constraint errors derived from the pose evaluation model are within the prescribed design tolerances, thereby ensuring higher assembly precision.
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