Academic Journal

Exploring Gel-Point Identification in Epoxy Resin Using Rheology and Unsupervised Learning

التفاصيل البيبلوغرافية
العنوان: Exploring Gel-Point Identification in Epoxy Resin Using Rheology and Unsupervised Learning
المؤلفون: Eddie Gazo Hanna, Khaled Younes, Semaan Amine, Rabih Roufayel
المصدر: Gels, Vol 9, Iss 828, p 828 (2023)
بيانات النشر: MDPI AG
سنة النشر: 2023
المجموعة: Directory of Open Access Journals: DOAJ Articles
مصطلحات موضوعية: epoxy, rheology, gel point, thermoset, principal component analysis (PCA), Science, Chemistry, QD1-999, Inorganic chemistry, QD146-197, General. Including alchemy, QD1-65
الوصف: Any thermoset resin’s processing properties and end-use performance are heavily influenced by the gel time. The complicated viscosity of resin as a function of temperature is investigated in this work, with a particular emphasis on identifying the gel point and comprehending polymerization. Rheology studies carried out using a plate-plate controlled stress rheometer under isothermal conditions were used to compare three experimental techniques for figuring out an epoxy resin’s gel point. We also look at the basic modifications that take place during polymerization. We verify the reliability of the three strategies by including Principal Component Analysis (PCA), an unsupervised machine learning methodology. PCA assists in uncovering hidden connections between these methods and various affecting factors. PCA serves a dual role in our study, confirming method validity and identifying patterns. It sheds light on the intricate relationships between experimental techniques and material properties. This concise study expands our understanding of resin behavior and provides insights that are essential for optimizing resin-based processes in a variety of industrial applications.
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 2310-2861
Relation: https://www.mdpi.com/2310-2861/9/10/828; https://doaj.org/toc/2310-2861; https://doaj.org/article/f6e58bd90188482da101608e7ceeff93
DOI: 10.3390/gels9100828
الاتاحة: https://doi.org/10.3390/gels9100828
https://doaj.org/article/f6e58bd90188482da101608e7ceeff93
رقم الانضمام: edsbas.91AB9927
قاعدة البيانات: BASE
الوصف
تدمد:23102861
DOI:10.3390/gels9100828