Quantitative Analysis and Control of Key Indexes of Bonding Performance of Water-based Adhesives

ZHONG Lin, ZHAN Ni, ZHANG Nan, CHU Wei, PANG Quanli, XIE Mingli, CHEN Ziyong, ZHANG Shasha, LIU Xinghai

Packaging Engineering ›› 2025, Vol. 46 ›› Issue (21) : 78-84.

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Packaging Engineering ›› 2025, Vol. 46 ›› Issue (21) : 78-84. DOI: 10.19554/j.cnki.1001-3563.2025.21.009
Advanced Materials

Quantitative Analysis and Control of Key Indexes of Bonding Performance of Water-based Adhesives

  • ZHONG Lin1, ZHAN Ni1, ZHANG Nan1, CHU Wei1, PANG Quanli2, XIE Mingli1, CHEN Ziyong1, ZHANG Shasha3, LIU Xinghai3*
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Abstract

The work aims to address the issue that the bonding performance of water-based adhesives in the packaging field is affected by multiple physical properties but there is a lack of quantitative analysis and clear control ranges. With packaging adhesives as an example, initial tack and peel strength were taken as indexes, and Pearson correlation analysis, principal component analysis, and random forest algorithm were adopted comprehensively to systematically analyze the effects of physical properties such as particle size, contact angle, open time, and viscosity on their bonding performance from both single-factor and multi-factor dimensions, so as to screen out key indexes and clarify their weights. On this basis, the 3σ criterion was used to identify and remove outliers, and the confidence interval was used to determine the recommended range of each key index. The contact angle, viscosity, open time, and particle size were the main control factors, with the recommended ranges being contact angle 49°-78°, viscosity 371-590 mPa·s, open time 10-24 s, and particle size 1.2-1.4 μm. This study clarifies the effect mechanism of physical properties on adhesive bonding, and the reasonable intervals obtained from the experimental results can provide quantitative basis for product quality control and process optimization. It not only provides scientific theoretical support for the stability assessment of water-based adhesives, but also has practical reference value for promoting the efficient application of water-based adhesives in the packaging field.

Key words

water-based adhesive / bonding performance / multi-factor analysis method / statistical analysis method / performance control

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ZHONG Lin, ZHAN Ni, ZHANG Nan, CHU Wei, PANG Quanli, XIE Mingli, CHEN Ziyong, ZHANG Shasha, LIU Xinghai. Quantitative Analysis and Control of Key Indexes of Bonding Performance of Water-based Adhesives[J]. Packaging Engineering. 2025, 46(21): 78-84 https://doi.org/10.19554/j.cnki.1001-3563.2025.21.009

References

[1] 杨飞, 周芸, 张玉璞, 等. 水基胶中多种化合物的同时测定[J]. 中国胶粘剂, 2023, 32(5): 46-52.
YANG F, ZHOU Y, ZHANG Y P, et al.Simultaneous Determination of Multiple Compounds in Water-Based Adhesive[J]. China Adhesives, 2023, 32(5): 46-52.
[2] 何屹, 杨本刚, 蔡持, 等. 聚乙烯醇水基胶对卷烟中空滤棒的粘接强度影响因素研究[J]. 塑料工业, 2024, 52(1): 129-135.
HE Y, YANG B G, CAI C, et al.Study on Influence Factors of Polyvinyl Alcohol Water-Based Adhesives on the Bonding Strength of Cigarette Hollow Filter Rod[J]. China Plastics Industry, 2024, 52(1): 129-135.
[3] 岳敏. 烟用包装胶应用现状及发展前景探究[J]. 绿色包装, 2024(10): 24-27.
YUE M.Application Status and Development Prospect of Tobacco Packaging Adhesive[J]. Green Packaging, 2024(10): 24-27.
[4] 项磊, 郑丰, 徐志强, 等. 烟用包装材料与包装胶的基础配合选型研究[J]. 中国胶粘剂, 2019, 28(9): 34-37.
XIANG L, ZHENG F, XU Z Q, et al.Study on Basic Matching Selection of Cigarette Packaging Material and Packaging Glue[J]. China Adhesives, 2019, 28(9): 34-37.
[5] YESSIMBEKOV Z, KAKIMOV A, KABDYLZHAR B, et al.Chemical, Physical Properties, Microstructure and Granulometric Composition of Ultra-Finely Ground Chicken Bone Paste[J]. Applied Food Research, 2023, 3(2): 100318.
[6] WANG Y Q, WEI Y J, WEI S Y, et al.A Facile Strategy for Fabricating High-Temperature Soybean Meal-Based Adhesive with Reduced Viscosity, Prolonged Open Time, and Improved Water Resistance[J]. International Journal of Adhesion and Adhesives, 2025, 140: 104038.
[7] EL-DIB Y O. Modeling Efficient Fractal Features to Simulate the Impact of Porosity and Viscosity on Fluid Interfacial Stability[J]. Journal of Low Frequency Noise, Vibration and Active Control, 2025, 44(3): 1414-1435.
[8] BURIAN S, SHPORTUN Y, YAROSHCHUK A, et al.Size-Dependent Wetting Contact Angles at the Nanoscale Defined by Equimolar Surfaces and Surfaces of Tension[J]. Scientific Reports, 2024, 14: 31340.
[9] 程传玲, 周耕耘, 李洪涛, 等. 基于纸胶体系及烘干模式的水基胶固化时间测定及影响因素研究[J]. 包装工程, 2023, 44(15): 202-209.
CHENG C L, ZHOU G Y, LI H T, et al.Curing Time Measurement and Influencing Factors of Water-Based Adhesives Based on Paper Adhesive System and Drying Mode[J]. Packaging Engineering, 2023, 44(15): 202-209.
[10] JIN F G, LIU G Q, SHI Q G, et al.Preparation and Characterization of Water-Based Adhesive and Its Application in Radiation-Cooling Coatings[J]. Journal of Physics: Conference Series, 2024, 2713(1): 012080.
[11] 胡少东, 李国政, 杨帆, 等. 国内烟用水基胶改性研制进展[J]. 烟草科技, 2020, 53(8): 105-112.
HU S D, LI G Z, YANG F, et al.Research Progress on Modification and Development of Domestic Water-Based Adhesives for Cigarettes[J]. Tobacco Science & Technology, 2020, 53(8): 105-112.
[12] PERRIN H, EDDI A, KARPITSCHKA S, et al.Peeling an Elastic Film from a Soft Viscoelastic Adhesive: Experiments and Scaling Laws[J]. Soft Matter, 2019, 15(4): 770-778.
[13] 郭鑫珠, 李泽珩, 万正威, 等. 天然胶黏剂的研究进展[J]. 高校化学工程学报, 2021, 35(4): 579-588.
GUO X Z, LI Z H, WAN Z W, et al.Research Progress of Natural Adhesives[J]. Journal of Chemical Engineering of Chinese Universities, 2021, 35(4): 579-588.
[14] ALLARD J, BURGERS S, RODRÍGUEZ GONZÁLEZ M C, et al. Effects of Particle Roughness on the Rheology and Structure of Capillary Suspensions[J]. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2022, 648: 129224.
[15] 马军翔, 陈毅鹏, 罗静, 等. 活性稀释剂对电子束(EB)固化压敏胶性能的影响[J]. 涂料工业, 2024, 54(4): 1-8.
MA J X, CHEN Y P, LUO J, et al.Effect of Reactive Diluent on Properties of Electron Beam(EB)Cured Pressure Sensitive Adhesives[J]. Paint & Coatings Industry, 2024, 54(4): 1-8.
[16] 黄康杰, 熊斌, 崔刚, 等. 基于Pearson相关性分析的双V型永磁同步电机失磁故障动态识别方法[J]. 电工技术学报, 2024, 39(22): 7111-7125.
HUANG K J, XIONG B, CUI G, et al.Dynamic Identification Method of Demagnetization Fault of Double V-Shaped PMSM Based on Pearson Correlation Analysis[J]. Transactions of China Electrotechnical Society, 2024, 39(22): 7111-7125.
[17] 许浩, 田才艳, 毛瑞柯. 基于PCA-IPSO-LSSVM的航材备件需求预测模型[J]. 科学技术与工程, 2025, 25(9): 3938-3944.
XU H, TIAN C Y, MAO R K.Prediction Model of Aviation Spare Parts Demand Based on PCA-IPSO-LSSVM[J]. Science Technology and Engineering, 2025, 25(9): 3938-3944.
[18] VERMA P, SINGH G, SINGH S K, et al.Correlation, Path-Coefficient and Principal Component Analysis Association among Quantitative Traits in Strawberry to Unlock Potential of Vertical Farming System[J]. Kuwait Journal of Science, 2025, 52(1): 100303.
[19] SUN Z G, WANG G T, LI P F, et al.An Improved Random Forest Based on the Classification Accuracy and Correlation Measurement of Decision Trees[J]. Expert Systems with Applications, 2024, 237: 121549.
[20] PARK J, CHUNG I, JEONG H, et al.Data-Driven Catalyst Design for Oxidative Dehydrogenation of Propane with CO2 Using Decision Tree Regression[J]. Applied Catalysis B: Environment and Energy, 2025, 361: 124622.
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