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Reims, France

Otari S.,University of Reims Champagne Ardenne | Candore J.-C.,University of Reims Champagne Ardenne | Odof S.,University of Reims Champagne Ardenne | Nolot J.-B.,University of Reims Champagne Ardenne | And 3 more authors.
18th IAPRI World Packaging Conference | Year: 2012

Random vibrations test is an effective means to reproduce the vibratory mechanical effects due to the transport. This method, although very used, consider only the frequency distribution of the signal and neglects an essential part of the information contained in the signal of origin: the distribution of the acceleration levels. S. Otari proposes an additional method based on the fine analysis of the acceleration levels during a real road transport, allowing to model the statistical distribution of these levels [1]. Knowing the law of distribution of the vibratory signal, it is possible to estimate the severity of a transport by calculating the probability of appearance of the levels of acceleration superior to a threshold, by calculating the statistical moments and also by calculating novel indicators of severity. In this work, we present an example of application of this method on a European road and railroad transport. We shall present the indicators of severity and we shall discuss results. Source


Otari S.,University of Reims Champagne Ardenne | Odof S.,University of Reims Champagne Ardenne | Nolot J.B.,University of Reims Champagne Ardenne | Vasseur P.,University of Reims Champagne Ardenne | And 3 more authors.
Packaging Technology and Science | Year: 2011

Random vibration tests are an efficient way to simulate the mechanical vibratory effects caused by transportation. The usual method is only concerned with the frequency distribution pattern of the signal using the average power spectral density. This work offers an additional method based on detailed analysis of instantaneous acceleration levels of a real road transport, which enables modelling of the statistical distribution of these levels. Continuous recording of acceleration signal all along the journey permits confirmation that this statistical distribution is not a Gaussian distribution but a modified Gaussian distribution, for which parameters are estimated and discussed. Therefore, it is possible to evaluate the transport severity by working out the appearance probability of acceleration levels greater than a fixed threshold and also the statistical moments, i.e. second order moment which gives the root mean square value together with fourth order moment (kurtosis) which evaluates the difference between the experimental distribution and the Gaussian distribution. Copyright © 2011 John Wiley & Sons, Ltd. This work offers an additional method for random vibration tests based on detailed analysis of instantaneous acceleration levels of real road transport which enables modelling the statistical distribution of these levels. Therefore, it's possible to evaluate the transport severity by working out the appearance probability of acceleration levels which is a modified Gaussian distribution. Copyright © 2011 John Wiley & Sons, Ltd. Source


Huart V.,ESIReims ESIEC | Huart V.,University of Reims Champagne Ardenne | Candore J.-C.,University of Reims Champagne Ardenne | Nolot J.-B.,ESIReims ESIEC | And 6 more authors.
Packaging Technology and Science | Year: 2015

In packaging science, the study of transport is important in determining the viability of a package/product pair. Many load breaks occur (e.g. handling and storage) along a supply chain. Transport also generates various physical stresses (e.g. shocks, shakes and vibrations). These physical phenomena can be recorded using a variety of customized sensors (e.g. tri-axial accelerometers, temperature sensors and pressure sensors). This study focuses on a transport phase that has not been studied in depth to date. Transportation operations on tarmacs include many handling and transportation machines, which are characterized by typical constraints that are often more stringent than airlift phase constraints. For comparison, acceleration distributions were estimated and analysed for the tarmac phase and road phase. Severity indicators were calculated based on existing methods. The second part of this study addresses the study of shakes. The shake distributions at 90 and 95% were another indicator of the shakes' severity and probability of occurrence. These elements allow us to characterize the impact of the tarmac area during air transport. © 2015 John Wiley & Sons, Ltd. Source


Huart V.,METROPACK | Nolot J.-B.,University of Reims | Candore J.-C.,University of Reims | Pellot J.,METROPACK | And 3 more authors.
Packaging Technology and Science | Year: 2016

Packaging systems always endure some type of damage during transportation, and Wöhler curves are typically used to determine the mechanical wear evolution of a packaging system. Damage estimations can be performed using a Rainflow method, but continuous stress recording is required. However, this recording is not always possible, so global transportation vibrations are represented by the power spectral density (PSD). In this paper, the damage of a system according to the Wöhler curve was studied. The Basquin model was used to determine the mechanical wear evolution of the system, and the mechanical behaviour was established by extracting the Basquin coefficient b and the constant system C from the Wöhler curves. A Wöhler curve was further realized for a packaging system, and its Basquin coefficient b and system constant C were also extracted. Damage is estimated by the accumulation of the stress cycles using the Palmgren-Miner rules. In this paper, the maximum peaks of the cycle were detected in a signal. The density probability of the maximum stress apparition was also constructed from a multivariate Gaussian model. PSDs have the same statistical properties as the corresponding temporal events, so these statistical properties were extracted by the spectral moment method. Furthermore, a damage equation was proposed using the PSD, and the damage induced by different PSDs was determined from the damage equation and compared with the actual duration on a vibration table. This paper focuses on packaging damage estimations using PSD. It describes the conditions of stress cycles apparition and their probability densities. Then, statistical parameters are extracted from PSD using spectral moments to complete the model and estimate the damage. The damage model is experimented on carboardbox. © Copyright 2016 John Wiley & Sons, Ltd. Source

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