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基于NSGA-Ⅱ的防排水板喷胶工艺参数优化研究OA

Study on optimization of glue spraying process parameters of waterproof and drainage board based on NSGA-Ⅱ

中文摘要英文摘要

为解决防排水板喷胶工艺中多参数耦合导致的喷胶质量不稳定、位置偏差大等问题,提出一种基于 NSGA-Ⅱ的多目标优化方法.首先,构建喷胶质量、X 方向偏差、Y 方向偏差的耦合目标函数模型;其次,通过归一化处理热熔胶压力、压缩空气压力、生产线速度、喷胶阀开口直径、喷胶阀开闭时间等 5 个关键参数;最后,利用 NSGA-Ⅱ算法对 9 种工况进行优化,结合快速非支配排序与拥挤度计算筛选 Pareto 最优解.实验结果表明:优化后喷胶质量稳定在(5±3)g,X、Y 方向偏差均控制在 0.45 mm 以内,为防排水板智能制造提供了参数优化框架;同时,实施该方法后的废品率降低 20%,生产效率提高 15%,具有显著的工程应用价值.

To solve the problems of unstable spraying quality and large positional deviation caused by multi-parameter coupling in the spraying process of waterproof and drainage boards,a multi-objective optimization method based on NSGA-Ⅱ is proposed.Firstly,a coupled objective function model for spray adhesive quality,X-direction deviation,and Y-direction deviation was construc-ted.Secondly,five key parameters including hot melt adhesive pressure,compressed air pressure,production line speed,spray valve opening diameter,and spray valve opening and closing time were normalized.Finally,the NSGA-Ⅱ algorithm was used to optimize nine operating conditions,combined with fast non dominated sorting and congestion calculation to screen for Pareto optimal solutions.The experimental results show that the optimized spray adhesive quality is stable at(5±3)g,and the deviation in the X、Y direction is controlled within 0.45 mm,providing a parameter optimization framework for intelligent manufacturing of waterproof and drainage boards.At the same time,after implementing this method,the scrap rate decreased by 20%and the production efficiency increased by 15%,which has significant engineering application value.

张震;张加冀;张雷;于浩;姚鹏辉

河北省机电一体化中试基地有限公司,河北 石家庄,050052||河北省智能测控技术创新中心,河北 石家庄,050052河北省机电一体化中试基地有限公司,河北 石家庄,050052||河北省智能测控技术创新中心,河北 石家庄,050052河北省机电一体化中试基地有限公司,河北 石家庄,050052||河北省智能测控技术创新中心,河北 石家庄,050052河北省机电一体化中试基地有限公司,河北 石家庄,050052||河北省智能测控技术创新中心,河北 石家庄,050052河北省机电一体化中试基地有限公司,河北 石家庄,050052||河北省科学院,河北 石家庄,050052

建筑与水利

NSGA-Ⅱ防排水板喷胶工艺多目标优化智能制造

NSGA-Ⅱdrainage boardglue spraying processmulti-objective optimizationintel-ligent manufacturing

《西安工程大学学报》 2026 (2)

55-62,8

河北省"三三三人才工程"资助项目(C2024010)河北省科学院科技计划高层次人才培养与资助项目(2022G22)石家庄市中试熟化平台项目(234790134A)

10.13338/j.issn.1674-649x.2026.02.007

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