Application of Data Analysis in Optimization of Blend Modification Formula

GONG Lei; WANG Qi-sheng; LIU Zhen-guo; CHEN Yan-hui; XIA Wei-long

doi:10.14028/j.cnki.1003-3726.2022.12.019

您当前的位置：

首页 >

文章列表页 >

Application of Data Analysis in Optimization of Blend Modification Formula

更新时间：2022-10-17

- Application of Data Analysis in Optimization of Blend Modification Formula
- Polymer Bulletin Vol. 35, Issue 12, Pages: 163-170(2022)
- 作者机构：
  
  1.西北工业大学宁波研究院，宁波　315000
  2.西北工业大学柔性电子研究院，西安　710000
  3.西北工业大学化学与化工学院，西安　710000
- 作者简介：
- 基金信息：
- DOI：10.14028/j.cnki.1003-3726.2022.12.019
  CLC：
- Published：20 December 2022，
  
  Received：28 July 2021，
  
  Revised：16 February 2022，
扫描看全文
GONG Lei, WANG Qi-sheng, LIU Zhen-guo, CHEN Yan-hui, XIA Wei-long. Application of Data Analysis in Optimization of Blend Modification Formula. [J]. Polymer Bulletin 35(12):163-170(2022)
DOI：

GONG Lei, WANG Qi-sheng, LIU Zhen-guo, CHEN Yan-hui, XIA Wei-long. Application of Data Analysis in Optimization of Blend Modification Formula. [J]. Polymer Bulletin 35(12):163-170(2022) DOI： 10.14028/j.cnki.1003-3726.2022.12.019.

摘要

采用数据分析中的随机森林方法研究了PP/POE/

-NA/ATP共混物的冲击性能优化问题。首先通过对现有的8组样本数据的学习训练测试完成模型调参

然后将8组样本的组分颗粒度下调

使各组分的含量在8组样本含量的范围内进行细化。通过对最终得出的1750组样本数据进行预测

挑选出最优的两组进行实验验证。所得实验结果与预测值较为相符

从而实现了在较少实验次数下筛选出更优的配方

极大地扩展了实验验证的数据通量

并有效节约了材料配方优化与筛选的成本与时间。进一步

将该数值分析方法推广至分析PVDF/BaTiO

复合材料的单轴拉伸取向度

所得预测结果与实验结果基本一致

验证了Python数值分析方法在聚合物共混物配方优化中的普适性。

Abstract

The random forest method in data analysis is used to study the optimization of impact properties for PP/ POE/

-Na/ATP blends. The model parameters are adjusted by learning and training the present 8 groups samples

and then the component particle size of these samples is lowered to refine the content of each component within the range of contents for these samples. 1750 samples are selected to verify the best two groups of predicted data. The experimental results are in good agreement with the predicted values. Thus

the better formula can be selected with less experimental times. The data flux of experimental verification is greatly expanded. The cost and the time of material formulation optimization and selection are effectively saved. Furthermore

the numerical analysis method is extended to analyze the orientation of PVDF/BaTiO

composites during the uniaxial tensile. The predicted results are basically consistent with the experimental results

which verifies the universality of Python numerical analysis method in the formula optimization of polymer blends.

关键词

POEPP共混改性数据分析

Keywords

POEPPBlending modificationData analysis

references

更多指标>

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Application of Neural Network in Copolymer Modification

Research Progress in Chain Entanglement Regulation of Ultrahigh Molecular Weight Polyethylene

Comparatively Studies on Characteristics of Different Plastic-based Wood Plastic Composites with Different Processing Methods

Development of Modification of Natural Rubber

Advance in Research and Development of Ethylene/1-Octyne Copolymer and Resin Production

Related Author

No data

Related Institution

College of Environment and Chemical Engineering, Dalian University

Guangdong Provincial Key Laboratory of Technique and Equipment for Macromolecular Advanced Manufacturing, South China University of Technology

Key Laboratory of Polymer Processing Engineering, Ministry of Education, South China University of Technology

National Engineering Research Center of Novel Equipment for Polymer Processing, South China University of Technology

College of Science, Nanjing Forestry University

⁰