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To evaluate the forces required for the suture of skin wounds quickly and effectively, the nonlinear finite element method was used to calculate the suture forces for skin wounds with different sizes and material parameters. With the calculated results as samples, the prediction model for skin wound suture forces was constructed by means of the EBF neural network model. Given the uncertain skin material parameters influencing the reliability of numerical results, the Monte-Carlo method was used to analyze the uncertainty propagation of skin material parameters. Finally, the prediction analysis and measuring experiment of wound suture forces were carried out with pig skin specimens to verify the reliability of the method. The results showed that, the suture force increases first and then decreases according to the suture point sequence, and the peak force occurs before the center of the wound. For a 40 mm×10 mm wound, the peak suture force is about 1.7 N, and that for a 40 mm×14 mm wound is about 2.5 N. Influenced by the uncertainty of material parameters, the prediction results of suture forces fluctuate by as much as ±0.6 N. The proposed theoretical prediction model provides an effective solution to the problem of parameter uncertainty propagation for biological soft tissue materials such as skins, and makes an important mechanical reference for robotic surgical suture. © 2023 Editorial Office of Applied Mathematics and Mechanics. All rights reserved.  相似文献   
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铝塑复合膜是锂离子电池可以实现外形尺寸灵活变化的关键,其热封性能的优劣会影响到电池在使用过程中的安全。针对152μm厚的PA/Al/CPP铝塑复合膜,研究了在不同热封条件(热封温度、热封时间和热封压力)下铝塑膜的热封强度,通过理论计算选取合理的参数范围,利用万能材料试验机测试了热封后铝塑膜能承受的最大拉伸载荷,并将此作为衡量热封强度大小的标准;根据单因素实验结果分析热封强度在不同热封工艺参数下的变化规律,并设计了正交实验,依据正交实验结果,对热封工艺参数进行显著性分析,同时通过响应曲面法拟合影响显著的参数与热封强度之间的关系,构建了热封强度关于热封温度与热封时间的数学模型。结果表明,在铝塑膜有效封合的范围内,热封温度、热封时间和热封压力对铝塑膜热封强度的增加均起着正向作用,其中影响显著的参数为热封温度和热封时间。本研究得到的模型可以为企业生产过程中热封参数的选择提供依据。  相似文献   
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