A predictive model for the relationship between processing conditions and properties of thermoplastic vulcanizates (TPVs) via machine learning-Reference-Cited by-同舟云学术

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A predictive model for the relationship between processing conditions and properties of thermoplastic vulcanizates (TPVs) via machine learning

Published:2023-07 Issue: Volume:240 Page:110095
ISSN:0266-3538
Container-title:Composites Science and Technology
language:en
Short-container-title:Composites Science and Technology

Author:

Xu Xinhu,Ma Lifeng,Guo Hui,Feng Changping,Wang YanSong,Mao Zhian

Funder

National Natural Science Foundation of China

Program of Shanghai Academic Research Leader

Publisher

Elsevier BV

Subject

General Engineering,Ceramics and Composites

Reference56 articles.

1. Unique microstructure of an oil resistant nitrile butadiene rubber/polypropylene dynamically vulcanized thermoplastic elastomer;Ning;RSC Adv.,2017

2. Nonlinear and linear viscoelastic behaviors of thermoplastic vulcanizates containing rubber nanoparticle agglomerates;Li;Polymer,2019

3. Preparation, microstructure, and microstructure-properties relationship of thermoplastic vulcanizates (TPVs): a review;Ning;Prog. Polym. Sci.,2018

4. Effects of shear during injection molding on the anisotropic microstructure and properties of EPDM/PP TPV containing rubber nanoparticle agglomerates;Li;Polymer,2021

5. Stretchable conductors of multi-walled carbon nanotubes (MWCNTs) filled thermoplastic vulcanizate (TPV) composites with enhanced electromagnetic interference shielding performance;Ma;Compos. Sci. Technol.,2020

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1. From processing to properties: Enhancing machine learning models with microstructural information in polymer nanocomposites;Composites Communications;2024-11

2. Morphology and properties of carbon black‐filled thermoplastic vulcanizate (TPV) composites based on hydrogenated acrylonitrile butadiene rubber and thermoplastic polyester elastomer;Journal of Applied Polymer Science;2024-09-09

3. Electrical insulation and dielectric properties of aramid fiber reinforced epoxy composites under mechanical stress;Composites Science and Technology;2024-08

4. Dynamic modeling and vibration control optimization of a rotating hollow beam with ESACLD treatment;Thin-Walled Structures;2024-06

5. Water Absorption Behavior of Dual-Sponge Structure Sealing Elastomers Assisted by Machine Learning;ACS Applied Polymer Materials;2024-05-30

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