【摘要】 在木门窗加工过程中，密封胶涂刷是影响产品防水防腐性能的关键工序。为提高密封胶涂刷质量，针对现有施胶嘴结构进行优化。优化过程以出胶均匀性作为评价指标，基于有限元方法，首先使用正交实验设计方法缩小优化范围，再使用BP神经网络方法对胶嘴结构参数进一步优化。最终优化得到胶嘴结构参数分别为角度60°、长度20.6 mm、锥度12°。通过木框涂胶实验验证，优化后的胶嘴显著改善了涂胶质量，为提升木门窗密胶涂刷质量提供了有效解决方案。更多还原

【Abstract】 In the wood door and window manufacturing process, the application of sealant is a critical procedure that affects the product’s waterproof and anti-corrosion performance. To enhance the quality of sealant application, this study focuses on optimizing the structure of the existing glue dispensing nozzle. The optimization process uses the uniformity of glue output as the evaluation criterion and is based on the finite element method. Initially, the orthogonal experimental design method is employed to narrow down the optimization range, followed by further optimization of the nozzle’s structural parameters using the BP neural network method. The final optimized nozzle structural parameters are an angle of 60°, a length of 20.6 mm, and a taper of 12°. Through wood frame glue application experiments, the optimized nozzle significantly improves the quality of glue application, providing an effective solution for enhancing the sealant coating quality of wood doors and windows.更多还原