Properties Prediction and Design of Tire Tread Composites Using Machine Learning-Reference-Cited by-同舟云学术

Properties Prediction and Design of Tire Tread Composites Using Machine Learning

Published:2020-02-26 Issue:3 Volume:29 Page:1900063
ISSN:1022-1344
Container-title:Macromolecular Theory and Simulations
language:en
Short-container-title:Macromol. Theory Simul.

Author:

Pang Song¹²,Luo Jinlian³,Wu Youping¹⁴^ORCID

Affiliation:

1. State Key Laboratory of Organic–Inorganic CompositesBeijing University of Chemical Technology Beijing 100029 China

2. Key Laboratory of Beijing City on Preparation and Processing of Novel Polymer MaterialsBeijing University of Chemical Technology Beijing 100029 China

3. DX Wind Technologies (Beijing) Co., Ltd Beijing 100029 China

4. Beijing Engineering Research Center of Advanced ElastomersBeijing University of Chemical Technology Beijing 100029 China

Funder

State Key Program of National Natural Science of China

Publisher

Wiley

Subject

Materials Chemistry,Inorganic Chemistry,Polymers and Plastics,Organic Chemistry,Condensed Matter Physics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mats.201900063

Reference34 articles.

1. Fabrication of graphene/natural rubber nanocomposites with high dynamic properties through convenient mechanical mixing

2. Rational design of multifunctional properties for styrene-butadiene rubber reinforced by modified Kevlar nanofibers

3. High-performing multi-walled carbon nanotubes/silica nanocomposites for elastomer application

4. Kevlar nanofiber-functionalized multiwalled carbon nanotubes for polymer reinforcement

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. EDT-STACK: A stacking ensemble-based decision trees algorithm for tire tread depth condition classification;Results in Engineering;2024-06

2. NNI‐SMOTE‐XGBoost: A Novel Small Sample Analysis Method for Properties Prediction of Polymer Materials;Macromolecular Theory and Simulations;2021-05-02

3. Investigation on thermokinetic suppression of ammonium polyphosphate on sucrose dust deflagration: Based on flame propagation, thermal decomposition and residue analysis;Journal of Hazardous Materials;2021-02

4. Research on different venting performance between flat and curved bursting panels;Journal of Loss Prevention in the Process Industries;2020-05

5. A Comparison Framework of Machine Learning Algorithms for Mixed-Type Variables Datasets: A Case Study on Tire-Performances Prediction;IEEE Access;2020