| 摘要: |
| 目的 通过数值模拟技术，仿真某医用泡罩包装热成型容器在柱塞辅助热成型工艺过程中，不同时刻片材的厚度变化规律及分布情况，并验证有限元仿真模拟结果的可靠性。仿真拉伸头不同预拉伸深度下的热成型容器的壁厚分布情况，找出使壁厚分布更加均匀的最佳预拉伸深度值，以优化工艺参数。 方法 利用 SolidWorks 软件建立了有限元模型，通过 Ansys Polyflow 软件仿真该医用泡罩包装容器的热成型工艺过程。并通过对实际热成型产品进行热成型实验，验证了有限元仿真模拟结果的可靠性。结果 仿真值与实验值的相对误差约为 2%，仿真结果与实际情况大体一致，仿真结果比较可靠。结论 通过有限元仿真模拟得到该医用泡罩包装制品的最佳热成型预拉伸深度值为 6.5 mm。 |
| 关键词: 医用泡罩包装容器 热成型 仿真 工艺参数优化 |
| DOI： |
| 分类号:TB482.2 |
| 基金项目:国家自然科学基金（51475311） |
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| Simulation Study on Thermoforming of a Blister Packaging Container for Medical Use and Process Parameter Optimization |
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CHEN Xiang-li, ZHANG Suo-huai, HAN Qing-hong
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Shanghai Institute of Technology, Shanghai 201400, China
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| Abstract: |
| Through the numerical simulation technology, a medical blister packaging containers thermoforming, based on sheet thickness variation and distribution at various points, was simulated during the plug-assisted thermoforming process, verifying the reliability of the finite element simulation methods. The simulation presenting vessel wall thickness distribution of the stretching core at different pre-stretching depth was also conducted, finding out the best pre-stretching depth contributing to more uniform values of thickness distribution, resulting in optimization of process parameters. The finite element model was established using SolidWorks software, and Ansys Polyflow software was applied for the simulation of the thermoforming process of medical blister packaging container. Through the experimental study of thermoforming on the actual molding products, the reliability of finite element simulation results was verified. The relative error of the results between the simulation value and test value was about 2%, representing that the simulation results was in accordance with the actual situation, and the simulation was quite reliable. Through the finite element simulation for the medical blister packaging products, the results were verified that the best pre-stretching depth value of this thermoforming was 6.5 mm. |
| Key words: blister packaging container for medical use thermoforming simulation process parameter optimization |
