Hao Xinyu, Zhang Guangdong, Deng Tong
School of Mechanical Engineering, Yancheng Institute of Technology, Yancheng 224051, China.
The Wolfson Centre for Bulk Solids Handling Technology, Faculty of Engineering and Science, University of Greenwich, Chatham ME4 4TB, UK.
Polymers (Basel). 2023 Aug 4;15(15):3310. doi: 10.3390/polym15153310.
The main challenge in a polymer coextrusion process is to have a good die design prior to the process, which can minimize the geometric errors that are caused by extrusion swell and interface motion. For this purpose, a coupling method of optimization and inverse design for a coextrusion die was studied for a medical striped catheter. In the study, the main material was thermoplastic polyurethane (TPU), and the auxiliary material was TPU filled with 30 wt% barium sulfate. An overall optimization design method was used to optimize the geometry of the extrusion die channel for the striped catheter, which had a complex geometry. In the global optimization process, the local inverse design method was used to design the inlet of the auxiliary material. The non-linear programming by quadratic Lagrangian (NLPQL) algorithm was used to obtain the optimal geometric solution of the coextrusion die runner. The experimental verification results showed that the coupling method for coextrusion die design improved the design efficiency of the coextrusion die remarkably. The value of the objective function, which was used to measure the geometric error of the product, was reduced by 72.3% compared with the initial die design.
聚合物共挤出工艺中的主要挑战是在工艺之前要有一个良好的模具设计，这可以将由挤出膨胀和界面运动引起的几何误差降至最低。为此，针对医用条纹导管，研究了一种共挤出模具的优化与逆向设计耦合方法。在该研究中，主要材料是热塑性聚氨酯（TPU），辅助材料是填充了30 wt%硫酸钡的TPU。采用整体优化设计方法对具有复杂几何形状的条纹导管挤出模具通道的几何形状进行优化。在全局优化过程中，采用局部逆向设计方法设计辅助材料的入口。使用二次拉格朗日非线性规划（NLPQL）算法获得共挤出模具流道的最优几何解。实验验证结果表明，共挤出模具设计的耦合方法显著提高了共挤出模具的设计效率。与初始模具设计相比，用于测量产品几何误差的目标函数值降低了72.3%。
