In order to optimize the wall thickness distribution of medical balloon, kyphoplasty balloon was chosen as the research object, the uniformity of wall thickness distribution was taken as the evaluation index, and the influence of stretch blow molding process on the uniformity of kyphoplasty balloon was investigated. In this paper, 16 sets of orthogonal test schemes were studied by selecting four main parameters such as forming temperature, forming pressure, stretching distance, and holding time of stretch blow molding process based on the L₁₆(4⁴) Taguchi method orthogonal table. The statistical analysis showed that the forming temperature was an utmost parameter on the uniformity, while an optimal scheme was obtained and an optimal balloon with the uniformity of 95.86% was formed under the scheme. To further quantify the relationship between the uniformity and the parameters, artificial neural network (ANN) and nonlinear regression (NLR) models were developed to predict the uniformity of the balloon based on orthogonal test results. A feed-forward neural network based on backpropagation (BP) was made up of 4 input neurons, 11 hidden neurons, and one output neuron, an objective function of the NLR model was developed using second-order polynomial, and the BFGS method was used to solve the function. Adequacy of models was tested using hypothesis tests, and their performances were evaluated using the R² value. Results show that both predictive models can be used for predicting the uniformity of the balloon with a higher reliability. However, the NLR model showed a slightly better performance than the ANN model.

中文翻译：

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基于正交试验的后凸成形术球囊壁厚均匀性预测模型

为了优化医用球囊壁厚分布，选择后凸成形球囊为研究对象，以壁厚分布的均匀性为评价指标，研究了拉伸吹塑成型工艺对后凸球囊均匀性的影响。 。本文基于L ₁₆（4 ⁴），通过选择成形温度，成形压力，拉伸距离和吹塑成型过程的保持时间等四个主要参数，研究了16套正交试验方案。田口法正交表。统计分析表明，成形温度是均匀度的最大参数，同时获得了最优方案，形成了均匀度为95.86％的最优球囊。为了进一步量化均匀性和参数之间的关系，开发了人工神经网络（ANN）和非线性回归（NLR）模型，以基于正交测试结果预测球囊的均匀性。基于反向传播（BP）的前馈神经网络由4个输入神经元，11个隐藏神经元和一个输出神经元组成，使用二阶多项式建立了NLR模型的目标函数，并使用了BFGS方法解决功能。使用假设检验检验模型的充分性，R ²值。结果表明，两种预测模型均可用于以更高的可靠性预测球囊的均匀性。但是，NLR模型显示出比ANN模型更好的性能。