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Predicting Mechanical Properties of Polymer Films after Extrusion Coating using Supervised Machine Learning Algorithms

Khayyami, Sara LU (2019) MMTM01 20191
Production and Materials Engineering
Abstract
Tetra Pak is a world leader in providing innovative packaging solutions and processing technologies and has been so for a very long time. It is well – known that the material used for packaging purposes gets subjected to high temperature and pressure during folding and filling which could compromise the integrity of the material. The polymer layer in the packaging material acts as a barrier, and thus a break in the polymer layer will influence the barrier properties. The process by which the polymer layer is applied on to the paperboard is called extrusion coating. The barrier properties of the polymer are affected by the process conditions in the extruder. It is therefore important to understand how the processing affects the mechanical... (More)
Tetra Pak is a world leader in providing innovative packaging solutions and processing technologies and has been so for a very long time. It is well – known that the material used for packaging purposes gets subjected to high temperature and pressure during folding and filling which could compromise the integrity of the material. The polymer layer in the packaging material acts as a barrier, and thus a break in the polymer layer will influence the barrier properties. The process by which the polymer layer is applied on to the paperboard is called extrusion coating. The barrier properties of the polymer are affected by the process conditions in the extruder. It is therefore important to understand how the processing affects the mechanical properties of the polymer and hence the barrier properties.

In this thesis, polyethylene films are created by varying the process settings, line speed and melt temperature, in the extruder. The mechanical properties are measured by the use of tensile tests and the effect from processing on the mechanical properties are investigated. A model for predicting the mechanical properties of polymer films is built using the collected data. The primary tool for data processing used in this thesis is Python, and the predictive model is built using machine learning algorithms. In the data, there is clear and visible effect from line speed on the mechanical properties but effect from melt temperature is not as strong. The predictive capacity of the simplest model based on linear regression has been found to predict with highest accuracy. Predictive models built on random forest regression has also been found to predict fairly well. The complex models are overall sensitive and require more data than was collected in this study to provide reliable predictions. (Less)
Popular Abstract
The polymer layer of the packaging material acts as a barrier against moisture and thus a break in the polymer can lead to food contamination. A common knowledge is that extrusion coating affects the mechanical properties of the polymer film which compromises the integrity of the material. Predicting and determining the mechanical properties after processing is therefore important. In this thesis, the relationship between process settings and mechanical properties have been identified and a predictive model has been built.
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author
Khayyami, Sara LU
supervisor
organization
course
MMTM01 20191
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Machine Learning, Predicting Polymer Properties, Mechanical Properties, Stress – Strain, Processed Polymer, Extrusion Coating
language
English
id
8979024
date added to LUP
2019-06-05 08:36:02
date last changed
2019-06-05 08:36:02
@misc{8979024,
  abstract     = {Tetra Pak is a world leader in providing innovative packaging solutions and processing technologies and has been so for a very long time. It is well – known that the material used for packaging purposes gets subjected to high temperature and pressure during folding and filling which could compromise the integrity of the material. The polymer layer in the packaging material acts as a barrier, and thus a break in the polymer layer will influence the barrier properties. The process by which the polymer layer is applied on to the paperboard is called extrusion coating. The barrier properties of the polymer are affected by the process conditions in the extruder. It is therefore important to understand how the processing affects the mechanical properties of the polymer and hence the barrier properties. 

In this thesis, polyethylene films are created by varying the process settings, line speed and melt temperature, in the extruder. The mechanical properties are measured by the use of tensile tests and the effect from processing on the mechanical properties are investigated. A model for predicting the mechanical properties of polymer films is built using the collected data. The primary tool for data processing used in this thesis is Python, and the predictive model is built using machine learning algorithms. In the data, there is clear and visible effect from line speed on the mechanical properties but effect from melt temperature is not as strong. The predictive capacity of the simplest model based on linear regression has been found to predict with highest accuracy. Predictive models built on random forest regression has also been found to predict fairly well. The complex models are overall sensitive and require more data than was collected in this study to provide reliable predictions.},
  author       = {Khayyami, Sara},
  keyword      = {Machine Learning,Predicting Polymer Properties,Mechanical Properties,Stress – Strain,Processed Polymer,Extrusion Coating},
  language     = {eng},
  note         = {Student Paper},
  title        = {Predicting Mechanical Properties of Polymer Films after Extrusion Coating using Supervised Machine Learning Algorithms},
  year         = {2019},
}