Study on waste tire pyrolysis product characteristics based on machine learning-Reference-Cited by-同舟云学术

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Study on waste tire pyrolysis product characteristics based on machine learning

Published:2023-12 Issue:6 Volume:11 Page:111314
ISSN:2213-3437
Container-title:Journal of Environmental Chemical Engineering
language:en
Short-container-title:Journal of Environmental Chemical Engineering

Author:

Qi Jingwei,Zhang Kaihong,Hu Ming,Xu Pengcheng,Huhe Taoli,Ling Xiang,Yuan Haoran,Wang Yijie,Chen Yong

Publisher

Elsevier BV

Subject

Process Chemistry and Technology,Pollution,Waste Management and Disposal,Chemical Engineering (miscellaneous)

Reference52 articles.

1. Use of pyrolytic gas from waste tire as a fuel: a review;Czajczyńska;Energy,2017

2. A comprehensive review on the applications of waste tire rubber in cement concrete;Thomas;Renew. Sustain. Energy Rev.,2016

3. Study on pyrolysis of waste tires and condensation characteristics of products in a pilot scale screw-propelled reactor;Qi;Fuel,2023

4. The production of fuel oil and combustible gas by catalytic pyrolysis of waste tire using waste heat of blast-furnace slag;Luo;Energy Convers. Manag.,2017

5. Waste truck-tyre processing by flash pyrolysis in a conical spouted bed reactor;Lopez;Energy Convers. Manag.,2017

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1. Machine learning constructs the microstructure and mechanical properties that accelerate the development of CFRP pyrolysis for carbon-fiber recycling;Waste Management;2024-12

2. Enhancing rubber concrete with supercritical fluid-assisted Nano-SiO2 embedding and high-temperature stirred waste rubber;Journal of Building Engineering;2024-11

3. Optimization and prediction of dye adsorption utilising cross-linked chitosan-activated charcoal: Response Surface Methodology and machine learning;Journal of Molecular Liquids;2024-10

4. Waste tire valorization: Advanced technologies, process simulation, system optimization, and sustainability;Science of The Total Environment;2024-09

5. Thermal Plasma Medical Waste Treatment: Data-ML Driven System Performance and Product Prediction;Waste and Biomass Valorization;2024-07-24

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