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Analytical Prediction of Package Collapse Loads - Basic considerations

Ristinmaa, Matti LU ; Ottosen, Niels Saabye LU and Korin, Christer (2012) In Nordic Pulp & Paper Research Journal 27(4). p.806-813
Abstract
Calculation of Box Compression Resistance (BCR) is a challenging task and here the possibility of an engineering approach is considered. The strive has been towards obtaining a simple and general predictive tool with as few parameters as possible and still obtaining an accurate estimate of the BCR. The model proposed is based on the concept of dividing the package into panels and corner panels. With these remarkably few structural elements it is possible to obtain simple explicit formulas where the only material parameters are given by standard tests in terms of short span compression test and bending resistance. The BCR for different packages is then obtained by a simply summation of the load from the panels and corner panels. A... (More)
Calculation of Box Compression Resistance (BCR) is a challenging task and here the possibility of an engineering approach is considered. The strive has been towards obtaining a simple and general predictive tool with as few parameters as possible and still obtaining an accurate estimate of the BCR. The model proposed is based on the concept of dividing the package into panels and corner panels. With these remarkably few structural elements it is possible to obtain simple explicit formulas where the only material parameters are given by standard tests in terms of short span compression test and bending resistance. The BCR for different packages is then obtained by a simply summation of the load from the panels and corner panels. A validation against experimental data indicates that, despite its remarkably simplicity, the predictions are very accurate for a wide range of package types, package dimensions, board qualities and loading directions. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Analytical prediction tool, BCR, Box Compression Resistance, Collapse loads, Package
in
Nordic Pulp & Paper Research Journal
volume
27
issue
4
pages
806 - 813
publisher
Arbor Publishing AB
external identifiers
  • wos:000315063800017
  • scopus:84871729968
ISSN
0283-2631
DOI
10.3183/NPPRJ-2012-27-04-p806-813
language
English
LU publication?
yes
id
1b9e73f9-6c5b-48ff-b500-f0915c3e02be (old id 3158620)
date added to LUP
2012-10-29 14:42:57
date last changed
2017-08-27 05:43:41
@article{1b9e73f9-6c5b-48ff-b500-f0915c3e02be,
  abstract     = {Calculation of Box Compression Resistance (BCR) is a challenging task and here the possibility of an engineering approach is considered. The strive has been towards obtaining a simple and general predictive tool with as few parameters as possible and still obtaining an accurate estimate of the BCR. The model proposed is based on the concept of dividing the package into panels and corner panels. With these remarkably few structural elements it is possible to obtain simple explicit formulas where the only material parameters are given by standard tests in terms of short span compression test and bending resistance. The BCR for different packages is then obtained by a simply summation of the load from the panels and corner panels. A validation against experimental data indicates that, despite its remarkably simplicity, the predictions are very accurate for a wide range of package types, package dimensions, board qualities and loading directions.},
  author       = {Ristinmaa, Matti and Ottosen, Niels Saabye and Korin, Christer},
  issn         = {0283-2631},
  keyword      = {Analytical prediction tool,BCR,Box Compression Resistance,Collapse loads,Package},
  language     = {eng},
  number       = {4},
  pages        = {806--813},
  publisher    = {Arbor Publishing AB},
  series       = {Nordic Pulp & Paper Research Journal},
  title        = {Analytical Prediction of Package Collapse Loads - Basic considerations},
  url          = {http://dx.doi.org/10.3183/NPPRJ-2012-27-04-p806-813},
  volume       = {27},
  year         = {2012},
}