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Doctoral Student

Milad Kianpisheh

Homogenization of polyolefins using material science and machine learning

The purpose of the Project is to create new knowledge for academia and industry in polymer technology. The motivation for the research stems from Circular Economy: there is a need to increase the amount and quality of recycled polyolefin (PE, PP) feedstock. Currently, there is significant variation in the feedstock quality and purity, which negatively affects the level and consistency of the end product quality.

Thus, the objective of the project is to study means to homogenize the recycled feedstock to achieve constant and high-quality end products. As a result of the project, we will better understand the variation within the feedstock, ways to control it and procedures to ensure the targeted end product quality.

Borealis

The purpose of the Project is to create new knowledge for academia and industry in polymer technology. The motivation for the research stems from Circular Economy: there is a need to increase the amount and quality of recycled polyolefin (PE, PP) feedstock. Currently, there is significant variation in the feedstock quality and purity, which negatively affects the level and consistency of the end product quality.

Thus, the objective of the project is to study means to homogenize the recycled feedstock to achieve constant and high-quality end products. As a result of the project, we will better understand the variation within the feedstock, ways to control it and procedures to ensure the targeted end product quality.

Academic supervisor
Essi Sarlin
Ilari Jönkkäri
Tomi Männistö
Industry partner
Anssi Aarnio
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