Fourier-Transform-Infrared-Spectroscopy-Based Approach to Predict Engine Fuel Properties of Biodiesel-Reference-Cited by-同舟云学术

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Fourier-Transform-Infrared-Spectroscopy-Based Approach to Predict Engine Fuel Properties of Biodiesel

Published:2021-04-23 Issue:9 Volume:35 Page:7993-8005
ISSN:0887-0624
Container-title:Energy & Fuels
language:en
Short-container-title:Energy Fuels

Author:

Bukkarapu Kiran Raj¹,Krishnasamy Anand¹^ORCID

Affiliation:

1. Indian Institute of Technology Madras, Chennai 600036, India

Funder

Department of Science and Technology, Ministry of Science and Technology

Publisher

American Chemical Society (ACS)

Subject

Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.energyfuels.0c03927

Reference60 articles.

1. Evaluation of comparative combustion, performance, and emission of soybean-based alternative biodiesel fuel blends in a CI engine

2. Performance and regulated gaseous emissions of a Euro 6 diesel vehicle with Lean NOx Trap at different ambient conditions: Sensitivity to the type of fuel

3. Real world emissions performance of heavy-duty Euro VI diesel vehicles

4. Effect of biodiesel origin on regulated and particle-bound PAH (polycyclic aromatic hydrocarbon) emissions from a Euro 4 passenger car

5. Effects of fuel properties on particulate emissions of diesel cars equipped with diesel particulate filters

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1. Evaluating the feasibility of machine learning algorithms for combustion regime classification in biodiesel-fueled homogeneous charge compression ignition engines;Fuel;2024-10

2. Evaluation of waste plastic and waste cooking oil as a potential alternative fuel in diesel engine;Next Energy;2024-10

3. Advancements in In-Cylinder and After-Treatment Strategies for Mitigating Pollutants from Diesel Engines: A Critical Review;Energy & Fuels;2024-05-28

4. Spectroscopy-Based Machine Learning Approach to Predict Engine Fuel Properties of Biodiesel;SAE International Journal of Engines;2024-04-11

5. Investigations on the applicability of machine learning algorithms to optimize biodiesel composition for improved engine fuel properties;International Journal of Engine Research;2024-02-05

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