Spray characteristics of diesel, biodiesel, polyoxymethylene dimethyl ethers blends and prediction of spray tip penetration using artificial neural network-Reference-Cited by-同舟云学术

Spray characteristics of diesel, biodiesel, polyoxymethylene dimethyl ethers blends and prediction of spray tip penetration using artificial neural network

Published:2022-01 Issue:1 Volume:34 Page:015117
ISSN:1070-6631
Container-title:Physics of Fluids
language:en
Short-container-title:Physics of Fluids

Author:

Liu Yu¹,Tian Junjian¹,Song Zhihui¹,Li Fengyu²,Zhou Wenliang¹,Lin Qizhao¹^ORCID

Affiliation:

1. Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230026, China

2. State Key Laboratory of Compressor Technology, Hefei General Machinery Research Institute Co, Ltd, Hefei 230031, China

Funder

National Key Research and Development Program of China

Publisher

AIP Publishing

Subject

Condensed Matter Physics,Fluid Flow and Transfer Processes,Mechanics of Materials,Computational Mechanics,Mechanical Engineering

Link

https://aip.scitation.org/doi/pdf/10.1063/5.0077405

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2. Flue gas-to-ash desulfurization of combustion of textile dyeing sludge: Its dependency on temperature, lignocellulosic residue, and CaO

3. Do FeCl3 and FeCl3/CaO conditioners change pyrolysis and incineration performances, emissions, and elemental fates of textile dyeing sludge?

4. Coupled mechanisms of reaction kinetics, gas emissions, and ash mineral transformations during combustion of AlCl3-conditioned textile dyeing sludge

5. Evaluation of reaction mechanisms and emissions of oily sludge and coal co-combustions in O2/CO2 and O2/N2 atmospheres

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