A comprehensive pyrolysis study of sorghum and reed stalk: TG/IR/MS analysis and machine learning-assisted kinetic prediction DOI
Jiaxin Huang,

Zhuo’er Sun,

Xuehui Wang

et al.

Process Safety and Environmental Protection, Journal Year: 2023, Volume and Issue: 181, P. 219 - 231

Published: Nov. 10, 2023

Language: Английский

Double‐Phase‐Networking Polyimide Hybrid Aerogel with Exceptional Dimensional Stability for Superior Thermal Protection System DOI
Chun Liu, Mingkang Wang, Jing Wang

et al.

Small, Journal Year: 2024, Volume and Issue: 20(44)

Published: July 2, 2024

Abstract Polyimide aerogels have been extensively used in thermal protection domain because they possess a combination of intrinsic characteristics and unique features polyimide. However, polyimide still suffer significant thermally induced shrinkage at temperatures above 200 °C, restricting their application high temperature. Here, novel “double‐phase‐networking” strategy is proposed for fabricating lightweight mechanically robust hybrid aerogel by forming silica–zirconia‐phase networking skeletons, which exceptional dimensional stability high‐temperature environments superior insulation. The rational mechanism responsible the formation double‐phase‐networking further explained, generally attributing to chemical crosslinking reactions supramolecular hydrogen bond interactions derived from main chains silane/zirconia precursor/sol. as‐prepared exhibit excellent (270 °C) (5.09% ± 0.16%), anti‐thermal‐shock properties, low conductivity. Moreover, hydrophobic treatment provides water resistance with contact angle 136.9°, suggestive moisture content 3.6% after exposure 70 °C 85% relative humidity 64 h. solution significantly enhancing insulation great supporting foundation high‐performance organic as materials aerospace.

Language: Английский

Citations

30
Machine learning prediction of bio-oil production from the pyrolysis of lignocellulosic biomass: Recent advances and future perspectives DOI Creative Commons
Hyojin Lee, Il-Ho Choi, Kyung-Ran Hwang

et al.

Journal of Analytical and Applied Pyrolysis, Journal Year: 2024, Volume and Issue: 179, P. 106486 - 106486

Published: March 30, 2024

Bio-oil produced through pyrolysis of lignocellulosic biomass has recently received significant attention due to its possible uses as a second-generation biofuel. The yield and characteristics bio-oil are affected by reaction conditions the type feedstock that is used. Recently, machine learning (ML) techniques have been widely employed forecast performance bi-oil. In this study, comprehensive review ML research on carried out. Regression methods were most frequently build prediction models top five for random forest, artificial neural network, gradient boosting, support vector regression, linear regression. results developed quite consistent with experiment results. However, studies data had limitations such used restricted data, extraction features using their own knowledge, limited algorithms. We highlighted challenges potential cutting-edge in production.

Language: Английский

Citations

10
Sustainable production of sawdust-derived porous carbon: Distinguished roles of phosphates and polyphosphates on pore evolution and tetracycline hydrochloride purification DOI

Nian He,

Dailiu Hu,

Honglong Xie

et al.

Separation and Purification Technology, Journal Year: 2025, Volume and Issue: unknown, P. 132101 - 132101

Published: Feb. 1, 2025

Language: Английский

Citations

1
Exploring bioenergy prospects from malt bagasse: Insights through pyrolysis with multi-component kinetic analysis and thermodynamic parameter estimation DOI

Liziane Marchese,

Kauany Inaiê Pelizari Kühl,

Jean Constantino Gomes da Silva

et al.

Renewable Energy, Journal Year: 2024, Volume and Issue: 226, P. 120453 - 120453

Published: April 6, 2024

Language: Английский

Citations

8
Comprehensive investigation of almond shells pyrolysis using advance predictive models DOI

Arslan Khan,

Saad Saeed, Erum Pervaiz

et al.

Renewable Energy, Journal Year: 2024, Volume and Issue: 227, P. 120568 - 120568

Published: April 26, 2024

Language: Английский

Citations

7
Optimization of product distribution during co-pyrolysis of furfural residues and waste tyres via response surface method and infrared heating DOI

Yongfu Zeng,

Zuohua Liu,

Erfeng Hu

et al.

Separation and Purification Technology, Journal Year: 2024, Volume and Issue: 354, P. 129209 - 129209

Published: Aug. 18, 2024

Language: Английский

Citations

7
Assessment of thermokinetic behaviour of tannery sludge in slow pyrolysis process through artificial neural network DOI

Arslan Khan,

Imtiaz Ali, Salman Raza Naqvi

et al.

Chemosphere, Journal Year: 2023, Volume and Issue: 337, P. 139226 - 139226

Published: June 26, 2023

Language: Английский

Citations

16
Enhancing pyrolysis process monitoring and prediction for biomass: A machine learning approach DOI
Jingxin Liu,

Huafei Lyu,

Can Cheng

et al.

Fuel, Journal Year: 2024, Volume and Issue: 362, P. 130873 - 130873

Published: Jan. 6, 2024

Language: Английский

Citations

5
Synergistic interaction for catalytic co-pyrolysis of municipal paper and polyethylene terephthalate wastes coupling with deep learning methodology DOI
Zihang Zhang, Dan Xu, Zijian He

et al.

Journal of Analytical and Applied Pyrolysis, Journal Year: 2023, Volume and Issue: 175, P. 106193 - 106193

Published: Sept. 25, 2023

Language: Английский

Citations

12
Physicochemical properties, pyrolysis kinetics, thermodynamic parameters of activation, and evolved volatiles of mango seed waste as a bioenergy feedstock: A potential exploration DOI
José Luiz Francisco Alves, Jean Constantino Gomes da Silva, Guilherme Davi Mumbach

et al.

Thermochimica Acta, Journal Year: 2023, Volume and Issue: 725, P. 179519 - 179519

Published: April 28, 2023

Language: Английский

Citations

11