Evaluation Method of Dispersion Uniformity in Blended Composite Films Using Fusion Algorithms
YANG Qing1,2, LIN Jiajun1, ZHU Benshuo1, HAN Jing1,2, WU Liwei1,2, JIANG Qian1,2,*
1 School of Textile Science and Engineering, Tiangong University, Tianjin 300387, China 2 Tianjin and Ministry of Education Key Laboratory for Advanced Textile Composite Materials, Tiangong University, Tianjin 300387, China
Abstract: This work established an integrated evaluation method for assessing dispersion homogeneity in blended composite films by combining a natural genetic algorithm (NGA), watershed segmentation algorithm and neural network. Using maleic anhydride (MAH)-modified polypropy-lene (PP)/polylactic acid (PLA) films as a model system, a standardized pre-processing of microscopic images involving grayscale adjustment and contrast enhancement was firstly conducted to normalize brightness and contrast. Then, a precision threshold optimization via NGA was achieved with the optimal threshold of 52.785 9. Combining marker-controlled watershed segmentation for image partitioning, morphological screening of segmented regions was conducted to extract the particle size of dispersed phase targets. A three-layer backpropagation (BP) neural network was utilized to validate the accuracy of particle identification. Numerical analysis revealed that the particle size distribution of films with 0.8% MAH exhibits enhanced stability in the dispersed phase, achieving an adjusted coefficient of determination (R2=0.998 0) and a distribution closer to normal distribution. Tensile tests further demonstrated that films with 0.8% MAH simultaneously reach maximum values in both the inverse coefficient of variation (CV-1=2.632) and tensile strength (25.076 MPa), confirming the high consistency between the evaluation results and the physical properties of the films. These findings validate the reliability and applicability of the proposed method for dispersion homogeneity analysis in composite materials.
1 Li X G, Huang M R, Gu G F, et al. Journal of Applied Polymer Science, 2000, 75(3), 458. 2 Sepúlveda F A, Sánchez J, Oyarzun D P, et al. Journal of Inclusion Phenomena and Macrocyclic Chemistry, 2022, 102(1-2), 65. 3 Srithar S, Rao S S. Bulletin of Materials Science, 2019, 42(4), 149. 4 Zanrosso C D, Piazza D, Lansarin M A. Polymer Engineering and Science, 2020, 60(6), 1146. 5 Kolonelou E, Loupou E, Klonos P A, et al. Polymer, 2021, 224, 123731. 6 Chen X L, Gao S, Fan B Y, et al. Journal of Anhui Jianzhu University, 2022, 30(4), 72 (in Chinese). 陈鑫亮, 高尚, 樊炳宇, 等. 安徽建筑大学学报, 2022, 30(4), 72. 7 Gao S, Xie Y J, Chen X L, et al. Petrochemical Technology, 2022, 51(1), 45 (in Chinese). 高尚, 谢永健, 陈鑫亮, 等. 石油化工, 2022, 51(1), 45. 8 Wang N, Chi C L. Shanghai Textile Science & Technology, 2020, 48(11), 48 (in Chinese). 王娜, 迟长龙. 上海纺织科技, 2020, 48(11), 48. 9 Yang G Y, Ou-Yang G, Li S J, et al. China Plastics Industry, 2020, 48(7), 29 (in Chinese). 杨光远, 欧阳纲, 李世健, 等. 塑料工业, 2020, 48(7), 29. 10 Yang G Y, Yang J P, Li Z M, et al. China Synthetic Resin and Plastics, 2022, 39(5), 24 (in Chinese). 杨光远, 杨俊鹏, 李哲铭, 等. 合成树脂及塑料, 2022, 39(5), 24. 11 Zhang J, Wang L, Xu Y W, et al. Journal of Wuhan Polytechnic University, 2020, 39(4), 42 (in Chinese). 张军, 王蕾, 许宇威, 等. 武汉轻工大学学报, 2020, 39(4), 42. 12 Zhang T, Cao M, Miao J B, et al. New Chemical Materials, 2023, 51(10), 167 (in Chinese). 张涛, 曹明, 苗继斌, 等. 化工新型材料, 2023, 51(10), 167. 13 Lu X, Huang J T, Kang B H, et al. Solar Energy Materials and Solar Cells, 2019, 192, 170. 14 Chu H, Yang L X, Hu S F, et al. Materials Reports, 2011, 25(11), 93 (in Chinese). 褚衡, 杨力行, 胡圣飞, 等. 材料导报, 2011, 25(11), 93. 15 Zhang T, Cao M, Miao J B, et al. Applied Chemical Industry, 2022, 51(9), 2608 (in Chinese). 张涛, 曹明, 苗继斌, 等. 应用化工, 2022, 51(9), 2608. 16 Zhang L, Chen Z W, Mao J L, et al. Journal of Materials Research and Technology, 2020, 9(3), 6790. 17 Han Y, Li Z Y, Wang A S, et al. Plastics Science and Technology, 2022, 50(9), 1(in Chinese). 韩越, 李振宇, 王傲松, 等. 塑料科技, 2022, 50(9), 1. 18 Huang R G, Tao Z, Shen J J, et al. Materials Reports, 2023, 37(S2), 604 (in Chinese). 黄荣贵, 陶忠, 沈金金, 等. 材料导报, 2023, 37(S2), 604. 19 Jin X, Feng C M, Jia Q Q, et al. Plastics Science and Technology, 2023, 51(4), 59 (in Chinese). 金霞, 冯春明, 贾倩倩, 等. 塑料科技, 2023, 51(4), 59. 20 Niu D X, Pan D Q, Zhong M, et al. The Chinese Journal of Nonferrous Metals, 2022, 32(2), 396 (in Chinese). 牛冬鑫, 潘德清, 钟敏, 等. 中国有色金属学报, 2022, 32(2), 396. 21 Lyu Y L, Zheng W X, Li R J, et al. Infrared Technology, 2024, 46(8), 965 (in Chinese). 吕永林, 郑万祥, 李汝劼, 等. 红外技术, 2024, 46(8), 965. 22 Zhang Y Y, Li Q H, Wen Y T. Acta Metrologica Sinica, 2024, 45(2), 246 (in Chinese). 张玉燕, 李启航, 温银堂. 计量学报, 2024, 45(2), 246. 23 Chen L H, Lan C W, Xu B, et al. Advanced Composites and Hybrid Materials, 2021, 4(2), 235. 24 Merayo D, Rodríguez-Prieto A, Camacho A M. Metals, 2020, 10(7), 904. 25 Lian Z Z, Zhao H, Zhang Q J, et al. Computers Materials & Continua, 2022, 72(1), 1515. 26 Yang J T, Yao H M. Extreme Mechanics Letters, 2020, 39, 100771. 27 He X, Zhang H, Wei R F, et al. Physica E-Low-Dimensional Systems & Nanostructures, 2016, 81, 71. 28 Yin Z M, Chen S Y, Guan Y W, et al. ACS Applied Materials & Interfaces, 2019, 11(5), 5264. 29 Madhumitha S, Manikandan M. Current Science, 2018, 114(5), 1007. 30 Bhardwaj A, Tiwari A, Bhardwaj H, et al. Expert Systems with Applications, 2016, 60, 211.
渝公网安备50019002502923号 版权所有：《材料导报》编辑部
2026, Vol. 40 
