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Surface Response Methodology-Based Mixture Design to Study the Influence of Polyol Blend Composition on
Said Arévalo-Alquichire1,2, Maria Morales-Gonzalez3, Luis E Diaz4
1Energy, Materials and Environment Group, Faculty of Engineering, Universidad de La Sabana, Chia 140013, Colombia. saidaral@unisabana.edu.co.
Molecules (Basel, Switzerland)
|August 8, 2018
Summary
This study models polyurethane properties based on polyol blend composition. Mathematical models reveal how material characteristics like water absorption and tensile strength are influenced by specific polyol components.
Area of Science:
- Materials Science
- Polymer Chemistry
Background:
- Polyurethanes exhibit a strong correlation between their structure and properties.
- Understanding this relationship is crucial for material design and application.
Purpose of the Study:
- To investigate the impact of polyol blend composition on polyurethane properties.
- To develop mathematical models predicting these properties based on composition.
- To elucidate the structure-property relationships in polyurethanes.
Main Methods:
- Utilized a mixture design approach to systematically vary polyol blend compositions.
- Evaluated properties including water absorption, hydrolytic degradation, contact angle, tensile strength, hardness, and modulus.
- Assessed thermal stability using thermogravimetric analysis (TGA) and analyzed kinetics via area under the curve.
- Employed least squares regression and ANOVA for model development and validation.
Main Results:
- Developed significant mathematical models for material properties with good fit and prediction capabilities.
- Water absorption, hydrolytic degradation, and contact angle were primarily influenced by the hydrophilic nature of polyols.
- Tensile strength, modulus, and hardness were controllable via polyethylene (PE) content and polyol characteristics.
- Increased polycaprolactone (PCL) and PE content enhanced thermal stability.
- Three-component interactions significantly affected bulk properties, while PEG*PCL interaction influenced surface properties (contact angle).
Conclusions:
- The study successfully established quantitative structure-property relationships in polyurethanes using mixture design.
- Predictive mathematical models provide a valuable tool for tailoring polyurethane properties.
- The findings offer insights into controlling material performance through strategic polyol blend formulation.