Abstract
Metal containers (both food and beverage cans) are made from huge steel or aluminum coils that are transformed into two-or three-piece products. During the manufacturing process, the metal is sprayed on both sides and the aerosol acts as insulation, but unfortunately produces volatile organic compounds (VOCs). The present work presents a different way to manufacture these containers using a novel prelaminated two-layer polymer steel. It was experimentally possible to verify that the material survives all the involved manufacturing processes. Thus tests were carried out in an ironing simulator to measure roughness, friction coefficient and surface quality. In addition, two theoretical ironing models were developed: upper bound model and artificial neural network. These models are useful for packaging designers and manufacturers.
| Original language | English |
|---|---|
| Article number | 222 |
| Number of pages | 15 |
| Journal | Polymers |
| Volume | 13 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2 Jan 2021 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Artificial neural network (ANN)
- Can
- Coating
- Friction
- Ironing
- Polymer
- Upper bound
- VOC
- Wear
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