Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Modeling aerosol formation in opposed-flow diffusion flames.

Angela Violi1, Andrea D'Anna, Antonio D'Alessio

  • 1Department of Chemical and Fuels Engineering, University of Utah, 1495 E 100 S, Room 109, Salt Lake City, UT 84112, USA. violi@eng.utah.edu

Chemosphere
|April 30, 2003
PubMed
Summary

This study numerically investigated soot formation in ethylene diffusion flames. Results show aromatic formation is limited near the flame front, with soot growth influenced by nanoparticle coagulation or polycyclic aromatic hydrocarbon addition.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A deep learning architecture for metabolic pathway prediction.

Bioinformatics (Oxford, England)·2026
Same author

The 2024 International Liver Transplant Society and International Liver Cancer Association Consensus Recommendations for Liver Transplantation for Liver Cancer.

Liver cancer·2026
Same author

A myeloid immunosuppressive phenotype defines primary refractoriness to atezolizumab plus bevacizumab in hepatocellular carcinoma.

Journal of hepatology·2026
Same author

Determinants of long-term survival from atezolizumab plus bevacizumab in unresectable hepatocellular carcinoma.

European journal of cancer (Oxford, England : 1990)·2026
Same author

Dual valorization of sewage sludge ash through phosphorus recovery and wastewater remediation.

Journal of environmental management·2026
Same author

The use of advanced machine learning to predict outcomes after atezolizumab plus bevacizumab for advanced hepatocellular carcinoma: a retrospective cohort study.

The Lancet. Digital health·2026

Area of Science:

  • Combustion Science
  • Chemical Engineering
  • Computational Fluid Dynamics

Background:

  • Soot formation in flames is a critical phenomenon impacting air quality and combustion efficiency.
  • Understanding the microstructures of sooting flames is essential for developing predictive models.
  • Previous models often lack comprehensive kinetic details for hydrocarbon oxidation and pyrolysis.

Purpose of the Study:

  • To numerically study the microstructures of atmospheric pressure, counter-flow, sooting, flat, laminar ethylene diffusion flames.
  • To analyze the controlling steps of aromatic formation and soot growth.
  • To validate a new kinetic model for hydrocarbon oxidation and pyrolysis.

Main Methods:

  • Numerical simulation of atmospheric pressure, counter-flow, sooting, flat, laminar ethylene diffusion flames.

Related Experiment Videos

  • Utilized a new kinetic model for hydrocarbon oxidation and pyrolysis.
  • Compared modeling results with experimental data for stable species and aromatic compounds.
  • Main Results:

    • Modeling results showed reasonable agreement with experimental concentration profiles.
    • High molecular mass aromatic formation was confined to a narrow region near the flame front.
    • Soot formation mechanisms were identified as nanoparticle coagulation or polycyclic aromatic hydrocarbon (PAH) addition to soot nuclei.

    Conclusions:

    • The new kinetic model accurately predicts species concentration profiles in ethylene diffusion flames.
    • Aromatic formation and soot growth are strongly dependent on flame configuration and local conditions.
    • The study provides insights into the fundamental processes governing soot formation in diffusion flames.