Sustainable Innovation in Polyolefin Elastomers: Predictive Model for Hardness, Melt Flow Index and Expansion in Cross-linked Foams
DOI:
https://doi.org/10.55965/setp.4.08.a7Keywords:
Cross-linked polyolefin foams, Polyolefin elastomers, predictive models, Expansion Ratio, Melt flow IndexAbstract
Context. This study responds to the growing demand for innovations in cross-linked polyolefin foams by developing a predictive model for cross-linked polyolefin foams, which reduces formulation times by predicting key properties, optimizing material usage and reducing waste. This contributes to more sustainable industrial production and minimizes the need for extensive experimentation, aligning with sustainable development goals.
Problem. The lack of accurate predictive models to estimate key properties in compound design makes it difficult to improve efficiency and quality, generating waste of materials and energy. How to develop an innovative and reliable predictive model that minimizes formula design times and optimizes resource use, promoting sustainable development by reducing waste and improving efficiency?
Purpose. This work seeks to establish a predictive model that optimizes the performance of polymeric materials, integrating innovation and sustainability in alignment with the UN SDGs.
Methodology. Predictive equations based on the law of mixtures were validated against experimental data to predict the properties of polyolefin compounds, as well as the change in these once the material is foamed.
Theoretical and practical Findings. The developed model accurately predicts the studied properties (
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