• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用图像和遗传算法识别瓦楞纸板的几何特征。

Identification of Geometric Features of the Corrugated Board Using Images and Genetic Algorithm.

机构信息

Institute of Applied Mechanics, Poznan University of Technology, Jana Pawla II 24, 60-965 Poznan, Poland.

Department of Biosystems Engineering, Poznan University of Life Sciences, Wojska Polskiego 50, 60-627 Poznan, Poland.

出版信息

Sensors (Basel). 2023 Jul 7;23(13):6242. doi: 10.3390/s23136242.

DOI:10.3390/s23136242
PMID:37448090
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10346967/
Abstract

The corrugated board is a versatile and durable material that is widely used in the packaging industry. Its unique structure provides strength and cushioning, while its recyclability and bio-degradability make it an environmentally friendly option. The strength of the corrugated board depends on many factors, including the type of individual papers on flat and corrugated layers, the geometry of the flute, temperature, humidity, etc. This paper presents a new approach to the analysis of the geometric features of corrugated boards. The experimental set used in the work and the created software are characterized by high reliability and precision of measurement thanks to the use of an identification procedure based on image analysis and a genetic algorithm. In the applied procedure, the thickness of each layer, corrugated cardboard thickness, flute height and center line are calculated. In most cases, the proposed algorithm successfully approximated these parameters.

摘要

瓦楞纸板是一种用途广泛且耐用的材料,广泛应用于包装行业。其独特的结构提供了强度和缓冲性,而其可回收性和生物降解性使其成为一种环保选择。瓦楞纸板的强度取决于许多因素,包括平板和瓦楞层上的个别纸张类型、波纹形状、温度、湿度等。本文提出了一种新的瓦楞纸板几何特征分析方法。由于采用了基于图像分析和遗传算法的识别程序,该工作中使用的实验装置和创建的软件具有很高的可靠性和测量精度。在应用程序中,计算了每层的厚度、瓦楞纸板的厚度、波纹高度和中心线。在大多数情况下,所提出的算法成功地逼近了这些参数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/3a0bda7a8af7/sensors-23-06242-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/4eac92d534e0/sensors-23-06242-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/9ebdefe1af37/sensors-23-06242-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/58f32033c4ed/sensors-23-06242-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/259614d4c363/sensors-23-06242-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/3079a2d7bdc4/sensors-23-06242-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/8807faabac0f/sensors-23-06242-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/cd5ac950a28b/sensors-23-06242-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/1dd0f24e851a/sensors-23-06242-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/c999b3c995aa/sensors-23-06242-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/3ee814332ca8/sensors-23-06242-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/0908f361835d/sensors-23-06242-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/5fc93a140a15/sensors-23-06242-g012a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/f13e64117b85/sensors-23-06242-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/4b17ed56d32e/sensors-23-06242-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/f5f28b0722e3/sensors-23-06242-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/5e3caa818faf/sensors-23-06242-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/3a0bda7a8af7/sensors-23-06242-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/4eac92d534e0/sensors-23-06242-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/9ebdefe1af37/sensors-23-06242-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/58f32033c4ed/sensors-23-06242-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/259614d4c363/sensors-23-06242-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/3079a2d7bdc4/sensors-23-06242-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/8807faabac0f/sensors-23-06242-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/cd5ac950a28b/sensors-23-06242-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/1dd0f24e851a/sensors-23-06242-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/c999b3c995aa/sensors-23-06242-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/3ee814332ca8/sensors-23-06242-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/0908f361835d/sensors-23-06242-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/5fc93a140a15/sensors-23-06242-g012a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/f13e64117b85/sensors-23-06242-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/4b17ed56d32e/sensors-23-06242-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/f5f28b0722e3/sensors-23-06242-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/5e3caa818faf/sensors-23-06242-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/10346967/3a0bda7a8af7/sensors-23-06242-g017.jpg

相似文献

1
Identification of Geometric Features of the Corrugated Board Using Images and Genetic Algorithm.使用图像和遗传算法识别瓦楞纸板的几何特征。
Sensors (Basel). 2023 Jul 7;23(13):6242. doi: 10.3390/s23136242.
2
Deciphering Double-Walled Corrugated Board Geometry Using Image Analysis and Genetic Algorithms.利用图像分析和遗传算法解析双壁波纹纸板几何形状
Sensors (Basel). 2024 Mar 9;24(6):1772. doi: 10.3390/s24061772.
3
In-Situ Classification of Highly Deformed Corrugated Board Using Convolution Neural Networks.基于卷积神经网络的高度变形瓦楞纸板原位分类
Sensors (Basel). 2024 Feb 6;24(4):1051. doi: 10.3390/s24041051.
4
Optimal Design of Double-Walled Corrugated Board Packaging.双层瓦楞纸板包装的优化设计
Materials (Basel). 2022 Mar 15;15(6):2149. doi: 10.3390/ma15062149.
5
Full-Field Measurements in the Edge Crush Test of a Corrugated Board-Analytical and Numerical Predictive Models.瓦楞纸板边缘抗压强度测试中的全场测量——解析与数值预测模型
Materials (Basel). 2021 May 26;14(11):2840. doi: 10.3390/ma14112840.
6
Evaluation of wave configurations in corrugated boards by experimental analysis (EA) and finite element modeling (FEM): the role of the micro-wave in packaging design.通过实验分析(EA)和有限元建模(FEM)评估瓦楞纸板中的波状结构:微波在包装设计中的作用。
Int J Adv Manuf Technol. 2023;126(11-12):4963-4982. doi: 10.1007/s00170-023-11397-y. Epub 2023 Apr 25.
7
Simplified Modelling of the Edge Crush Resistance of Multi-Layered Corrugated Board: Experimental and Computational Study.多层瓦楞纸板边缘抗压强度的简化建模:实验与计算研究
Materials (Basel). 2023 Jan 3;16(1):458. doi: 10.3390/ma16010458.
8
Numerical Homogenization of Multi-Layered Corrugated Cardboard with Creasing or Perforation.带有压痕或穿孔的多层瓦楞纸板的数值均匀化
Materials (Basel). 2021 Jul 6;14(14):3786. doi: 10.3390/ma14143786.
9
Analytical Determination of the Bending Stiffness of a Five-Layer Corrugated Cardboard with Imperfections.具有缺陷的五层瓦楞纸板弯曲刚度的解析测定
Materials (Basel). 2022 Jan 16;15(2):663. doi: 10.3390/ma15020663.
10
Estimation of the Edge Crush Resistance of Corrugated Board Using Artificial Intelligence.基于人工智能的瓦楞纸板边压强度估计
Materials (Basel). 2023 Feb 15;16(4):1631. doi: 10.3390/ma16041631.

引用本文的文献

1
Graph-Based Analysis for the Characterization of Corrugated Board Compression.基于图形的瓦楞纸板压缩特性分析
Materials (Basel). 2024 Dec 12;17(24):6083. doi: 10.3390/ma17246083.
2
Deciphering Double-Walled Corrugated Board Geometry Using Image Analysis and Genetic Algorithms.利用图像分析和遗传算法解析双壁波纹纸板几何形状
Sensors (Basel). 2024 Mar 9;24(6):1772. doi: 10.3390/s24061772.
3
In-Situ Classification of Highly Deformed Corrugated Board Using Convolution Neural Networks.基于卷积神经网络的高度变形瓦楞纸板原位分类

本文引用的文献

1
Evaluation of wave configurations in corrugated boards by experimental analysis (EA) and finite element modeling (FEM): the role of the micro-wave in packaging design.通过实验分析(EA)和有限元建模(FEM)评估瓦楞纸板中的波状结构:微波在包装设计中的作用。
Int J Adv Manuf Technol. 2023;126(11-12):4963-4982. doi: 10.1007/s00170-023-11397-y. Epub 2023 Apr 25.
2
Influence of Imperfections on the Effective Stiffness of Multilayer Corrugated Board.缺陷对多层瓦楞纸板有效刚度的影响。
Materials (Basel). 2023 Feb 2;16(3):1295. doi: 10.3390/ma16031295.
3
Analytical Determination of the Bending Stiffness of a Five-Layer Corrugated Cardboard with Imperfections.
Sensors (Basel). 2024 Feb 6;24(4):1051. doi: 10.3390/s24041051.
具有缺陷的五层瓦楞纸板弯曲刚度的解析测定
Materials (Basel). 2022 Jan 16;15(2):663. doi: 10.3390/ma15020663.
4
Visual design intuition: predicting dynamic properties of beams from raw cross-section images.视觉设计直觉:从原始截面图像预测梁的动态特性。
J R Soc Interface. 2021 Nov;18(184):20210571. doi: 10.1098/rsif.2021.0571. Epub 2021 Nov 24.