| Title | On Estimating Physical and Chemical Properties of Hydrocarbon Fuels Using Mid-Infrared FTIR Spectra and Regularized Linear Models |
|---|---|
| Record ID | 81692 |
| Personal Name Creator |
Wang, Yu; Ding, Yiming; Wei, Wei; Cao, Yi; Davidson, David F; Hanson, Ronald K |
| Corporate Creator | United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment; Stanford University |
| Corporate Contributor |
United States. Department of Transportation. Federal Aviation Administration. Office of Environment and Energy |
| Publisher | Elsevier |
| Publication Date | 20190700 |
| Language | English |
| Abstract | The concept of a compact, economical FTIR-based analyzer for estimating the properties of hydrocarbon fuels with small amounts of fuel is proposed. The high correlations between mid-IR FTIR absorption spectra of fuel vapor in the range 3300–3550 nm and 15 physical and chemical properties, such as density, initial boiling point, surface tension, kinematic viscosity, number of carbon and hydrogen per average molecule, and derived cetane number, for 64 hydrocarbon fuels are demonstrated. Lasso-regularized linear models based on linear combination of absorption cross sections at selected wavelengths are built for each of these physical and chemical properties, yielding accurate estimations. |
| Public Note | his manuscript is made available under the Elsevier user license https://www.elsevier.com/open-access/userlicense/1.0/ |
| Rosap ID | dot:56931 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/56931 |
| TRT Terms | Hydrocarbon based materials; Alternate fuels; Chemical properties; Physical properties; Combustion; Spectroscopy; Linear systems; Machine learning |
| General Subjects | Hydrocarbon fuel; Mid-IR spectroscopy; Generalized linear model; ASCENT |
| Geographical Coverage |
United States |
| TRIS Online Accession No |
1780700 |
| Contract Number | 13-C-AFJE-SU-15 |
| Report Number | j.fuel.2019.115715 |
| Resource type | Manuscript |
| URL | https://ntlrepository.blob.core.windows.net/lib/81000/81600/81692/25-j.fuel.2019.115715_pub_On_estimating_physical.pdf |
| Format | |
| Database | NTL Digital Repository |