Rapid Assessment of Autoignition Propensity in Novel Fuels and Blends

Technical Report · Tue Sep 01 00:00:00 EDT 2020

DOI:https://doi.org/10.2172/1671001· OSTI ID:1671001

Sheps, Leonid ^[1]; Buras, Zachary ^[1]; Au, Kendrew ^[1]; Zador, Judit ^[1]; Safta, Cosmin ^[1]

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1. Sandia National Lab. (SNL-CA), Livermore, CA (United States)

We developed a computational strategy to correlate bulk combustion metrics of novel fuels and blends in the low-temperature autoignition regime with measurements of key combustion intermediates in a small-volume, dilute, high-pressure reactor. We used neural net analysis of a large simulation dataset to obtain an approximate correlation and proposed experimental and computational steps needed to refine such a predictive correlation. We also designed and constructed a high-pressure laboratory apparatus to conduct the proposed measurements and demonstrated its performance on three canonical fuels: n-heptane, i-octane, and dimethyl ether.

• Research Organization: Sandia National Laboratories (SNL-CA), Livermore, CA (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• DOE Contract Number: AC04-94AL85000; NA0003525
• OSTI ID: 1671001
• Report Number(s): SAND--2020-10342; 691164
• Country of Publication: United States
• Language: English

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