Predicting the Temperature-Dependent Tensile properties of Polyphenylsulfone using a Machine learning approach-Reference-Cited by-同舟云学术

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Predicting the Temperature-Dependent Tensile properties of Polyphenylsulfone using a Machine learning approach

Published:2023-06 Issue: Volume:313 Page:116920
ISSN:0263-8223
Container-title:Composite Structures
language:en
Short-container-title:Composite Structures

Author:

Fragassa Cristiano^ORCID

Publisher

Elsevier BV

Subject

Civil and Structural Engineering,Ceramics and Composites

Reference64 articles.

1. Thermoplastic materials: properties, manufacturing methods, and applications;Polysulfones;CRC Press,2011

2. Processing 'exotic' thermoplastics: how much difference?;von Hassell;Plast Technol,1980

3. Polysulfones;El-Hibri,2014

4. Polysulfones;Dreger;Mach Des,1978

5. Radel polyphenylsulfone a new, tough;Domine;engineering polymer,1977

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1. Temperature and strain-rate dependent fractional constitutive model for glassy polymers;Chaos, Solitons & Fractals;2024-08

2. Effect of Stacking Sequence on Mechanical and Water Absorption Characteristics of Jute/Banana/Basalt Fabric Aluminium Fibre Laminates With Diamond Microexpanded Mesh;International Journal of Polymer Science;2024-01

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