First-Order Prediction of the Relative Performance of Infrared (IR) Absorption, Raman, and Combined (IR + Raman) Spectroscopy for Estimating Composition and Bulk Properties of Fuel Mixtures-Reference-Cited by-同舟云学术

First-Order Prediction of the Relative Performance of Infrared (IR) Absorption, Raman, and Combined (IR + Raman) Spectroscopy for Estimating Composition and Bulk Properties of Fuel Mixtures

Published:2022-08-15 Issue:16 Volume:22 Page:16046-16054
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Okada Haruna¹^ORCID,Sanders Scott T.¹

Affiliation:

1. Department of Mechanical Engineering, University of Wisconsin–Madison, Madison, WI, USA

Funder

Army Research Laboratory and was accomplished under Cooperative

Army Research Laboratory or the U.S. Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9857501/09829028.pdf?arnumber=9829028

Reference27 articles.

1. Fourier Transform Infrared Spectroscopy Models to Predict Cetane Number of Different Biodiesels and Their Blends

2. Predicting fuel research octane number using Fourier-transform infrared absorption spectra of neat hydrocarbons

3. Excess Infrared Absorption Spectroscopy and its Applications in the Studies of Hydrogen Bonds in Alcohol-Containing Binary Mixtures

4. Characterization of gasoline/ethanol blends by infrared and excess infrared spectroscopy

5. Using Oxygenated Gasoline Surrogate Compositions to Map RON and MON

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