Log in to save to my catalogue

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

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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9183135

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

About this item

Full title

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

Publisher

Switzerland: MDPI AG

Journal title

Polymers, 2022-05, Vol.14 (11), p.2262

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

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 composition is minimized. The study presented in this p...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9183135

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9183135

Other Identifiers

ISSN

2073-4360

E-ISSN

2073-4360

DOI

10.3390/polym14112262

How to access this item