Chaotic Diagnostics in a Biodiesel Combustion System Using PLIF and Nonlinear Time Series Analysis ▴-Reference-Cited by-同舟云学术

Chaotic Diagnostics in a Biodiesel Combustion System Using PLIF and Nonlinear Time Series Analysis ▴

Published:2020-10-15 Issue:1 Volume:21 Page:109-118
ISSN:1615-6846
Container-title:Fuel Cells
language:en
Short-container-title:Fuel Cells

Author:

Gao S.¹²³,Li F.¹³,Xiao Q.¹³,Zhu J.¹³

Affiliation:

1. Kunming University of Science and Technology State Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization 650093 Kunming P.R. China

2. Yunnan Agricultural University School of Mechanical and Electrical Engineering 650201 Kunming P.R. China

3. Kunming University of Science and Technology Faculty of Metallurgical and Energy Engineering 650093 Kunming P.R. China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Yunnan Province

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/fuce.202000085

Reference41 articles.

1. Potential of biodiesel as a renewable energy source in Bangladesh

2. Necessity of biodiesel utilization as a source of renewable energy in Malaysia

3. Effect of different percentages of biodiesel–diesel blends on injection, spray, combustion, performance, and emission characteristics of a diesel engine

4. Absolute OH concentration profiles measurements in high pressure counterflow flames by coupling LIF, PLIF, and absorption techniques

5. Simultaneous stereo particle image velocimetry and double-pulsed planar laser-induced fluorescence of turbulent premixed flames

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