Optimization of reed-based polyol production driven by response surface methodology and machine learning: Process modeling and hydroxyl value prediction

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成果类型：

期刊论文

作者：

Wu, Songlin;Zhao, Jinping;Li, Chengjun;Li, Xianjun;Wang, Hanqing

通讯作者：

Wang, HQ

作者机构：

[Wu, Songlin; Li, Xianjun] Cent South Univ Forestry & Technol, Sch Mat Sci & Engn, Changsha 410004, Peoples R China.

[Wang, HQ; Zhao, Jinping; Wang, Hanqing; Li, Chengjun] Cent South Univ Forestry & Technol, Sch Civil Engn, Changsha 410004, Peoples R China.

[Zhao, Jinping; Wu, Songlin; Wang, Hanqing; Li, Xianjun; Li, Chengjun] Hunan Engn Res Ctr Full Life Cycle Energy Efficien, Changsha 410004, Peoples R China.

通讯机构：

[Wang, HQ ] C

Cent South Univ Forestry & Technol, Sch Civil Engn, Changsha 410004, Peoples R China.

语种：

英文

关键词：

Biomass Liquefaction;Phragmites australis;Response surface methodology;Artificial neural network;Bio-based Polyols

期刊：

Industrial Crops and Products

ISSN：

0926-6690

年：

2024

卷：

222

页码：

119752

DOI：

10.1016/j.indcrop.2024.119752

基金类别：

CRediT authorship contribution statement Chengjun Li: Writing – review & editing. Xianjun Li: Writing – review & editing, Resources, Investigation. Hanqing Wang: Writing – review & editing, Supervision, acquisition, Conceptualization. Songlin Wu: Writing – original draft, Software, Methodology, acquisition, Data curation, Conceptualization. Jinping Zhao: Writing – review & editing, acquisition.

机构署名：

本校为第一且通讯机构

院系归属：

材料科学与工程学院

土木工程学院

摘要：

In pursuit of sustainable development goals, the transformation of biomass resources into high-value chemicals has become a focal point within the academic community. Despite being a biomass resource, reed (Phragmites australis) has not yet fully realized its potential in the production of bio-based polyols. This study utilized Response Surface Methodology (RSM) and an Artificial Neural Network (ANN) enhanced by a Genetic Algorithm (GA) to model and optimize the liquefaction process of reeds. Furthermore, this study employed a pre-existing predictive model to estimate the hydroxyl value of ree...

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Optimization of reed-based polyol production driven by response surface methodology and machine learning: Process modeling and hydroxyl value prediction

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