Out-of-plane shearing characteristics of coated paperboard

Nagasawa, Shigeru; Yamashita, Yuudai; Hamid, Darulihsan Abdul; Fukuzawa, Yasushi; Hine, Akira

doi:10.1016/j.ijmecsci.2009.12.006

Cited by 6 publications

(2 citation statements)

References 7 publications

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“…A practical classification of the corrugated layer, called fluting, based on wave height is usually adopted; it is denoted by capital letters, typical wave heights are from A to F. Due to constitutive material properties and internal composite structure, the layered corrugated board typically displays two characteristic in-plane directions of orthotropy, namely, the machine direction (MD), perpendicular to the main axis of the 2 fluting, and cross direction (CD), parallel to the fluting, directly affecting the mechanical response of the paperboard, both in elasticity range and for strength thresholds. In recent literature, numerous works are available to accurately model the mechanical constitutive behaviour of corrugated board, upon computational developments, accounting for anisotropic behaviour, [3,4] plastic behaviour, [5] creep response, [6] forming process, [7,8] creasing and folding conditions, [9][10][11][12][13] as also effectively supported by experimental testing (see, e.g., [9,14,15]). Consistently, a crucial role in the design of corrugated board packaging is played also by the evaluation of paperboard strength and buckling resistance, e.g., in [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

On the use of artificial intelligence in predicting the compressive strength of various cardboard packaging

Gajewski,

Grabski,

Cornaggia

et al. 2023

Packag Technol Sci

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Artificial intelligence is increasingly used in various branches of engineering. In this article, artificial neural networks are used to predict the crush resistance of corrugated packaging. Among the analysed packages were boxes with ventilation openings, packages with perforations and typical flap boxes, which make the proposed estimation method very universal. Typical shallow feedforward networks were used, which are perfect for regression problems, mainly when the set of input and output parameters is small, so no complicated architecture or advanced learning techniques are required. The input parameters of the neural networks are selected so as to take into account not only the material used for the production of the packaging but also the dimensions of the box and the impact of ventilation holes and perforations on the load capacity of individual walls of the packaging. In order to maximize the effectiveness of neural network training process, the group of input parameters was changed so as to eliminate those to which the sensitivity of the model was the lowest. This allowed the selection of the optimal configuration of training pairs for which the estimation error was on the acceptable level. Finally, models of neural networks were selected, for which the training and testing error did not exceed 10%. The demonstrated effectiveness allows us to conclude that the proposed set of universal input parameters is suitable for efficient training of a single neural network model capable of predicting the compressive strength of various types of corrugated packaging.

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Section: Introductionmentioning

confidence: 99%

On the use of artificial intelligence in predicting the compressive strength of various cardboard packaging

Gajewski,

Grabski,

Cornaggia

et al. 2023

Packag Technol Sci

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show abstract

“…Namely, an out-of-plane tearing of paper by using an uni-axial tensile testing method shows a similar tearing resistance as the Elmendor testing. The outof-plane shear breaking behavior of white-coated paperboard, the thickness of which was 0.47mm, was experimentally investigated and the out-of-plane shear strength was reported as the twice or triple times larger as that of in-plane tensile strength (Nagasawa et al, 2010). Also, an in-plane tensile test of a small connecting portion of a 0.47mm thickness paperboard was reported by Nagasawa et al (2008).…”

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confidence: 99%

Effects of mechanical conditions on tearing characteristics of zipper band made of white-clay-coated paperboard (Dependency of tearing characteristics on length of connecting portions, width of band and pulling direction)

Nagasawa

Uehara

Matsumoto

2021

JAMDSM

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Coated-recycled paperboard is considered to be a fundamental material for the packaging industry due to its advantages such as high strength-to-weight ratio, high surface smoothness, printability, sustainability, recyclability, and so on. To convert paperboard into a packaging container, a raw paperboard is first printed at a printing line. Then, it is subjected to cutting and creasing processes (Kirwan, 2013). The stripped blank is folded and glued to obtain a packaging carton, the structure of which is designed in several styles (Kirwan, 2013). For examples, there are a seal end, tuck top auto bottom, tuck end, sleeve, lock corner tray, walker lock tray (All packaging company, 2016). Since a closed packaging box is considered to be easily or smoothly opened by customers, a sort of tearing band (zipper pull tab), which is formed in the die-cutting process, is often designed and implemented on the packaging box flap. The zipper band for opening a box flap normally consists of two parallel dashed lines, which are perforation for tearing. Although such a zipper band is widely used for opening a sealed carton, there seemed to be not any standardized cutting patterns of zipper band yet. There are empirically various cutting patterns of zipper band for each manufacturer. However, there are not any public designing methods and theoretical discussion on mechanics of tearing characteristics of zipper band. Regarding the failure behavior of paper, the mode III tear test as the Elmendorf test is known and standardized

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Material Science and Chemistry

2020

Packaging Technology and Engineering

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Out-of-plane shearing characteristics of coated paperboard

Cited by 6 publications

References 7 publications

On the use of artificial intelligence in predicting the compressive strength of various cardboard packaging

On the use of artificial intelligence in predicting the compressive strength of various cardboard packaging

Effects of mechanical conditions on tearing characteristics of zipper band made of white-clay-coated paperboard (Dependency of tearing characteristics on length of connecting portions, width of band and pulling direction)

Material Science and Chemistry

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