Natural Rubber Blend Optimization via Data-Driven Modeling: The Implementation for Reverse Engineering

Natural Rubber Blend Optimization via Data-Driven Modeling: The Implementation for Reverse Engineering

Natural rubber formulation methodologies implemented within industry primarily implicate a high dependence on the formulator’s experience as it involves an educated guess-and-check process. The formulator must leverage their experience to ensure that the number of iterations to the final blend compo...

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Bibliographic Details
Main Authors: Allen Jonathan Román, Shiyi Qin, Julio C. Rodríguez, Leonardo D. González, Victor M. Zavala, Tim A. Osswald
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Polymers
Subjects:
viscoelasticity
machine learning
response surface methodology
natural rubber
reverse engineering
formulation
Online Access:https://www.mdpi.com/2073-4360/14/11/2262

Internet

https://www.mdpi.com/2073-4360/14/11/2262

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