Articles | Volume 4, issue 2
https://doi.org/10.5194/ar-4-279-2026
https://doi.org/10.5194/ar-4-279-2026
Research article
 | 
06 Jul 2026
Research article |  | 06 Jul 2026

Soot growth by monodisperse particle dynamics coupled with computational fluid dynamics

Arash Fakharnezhad, Joseph D. Berry, and Eirini Goudeli

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on ar-2025-40', Anonymous Referee #1, 05 Jan 2026
  • RC2: 'Comment on ar-2025-40', Anonymous Referee #2, 20 Feb 2026

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Arash Fakharnezhad on behalf of the Authors (27 Mar 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (30 Mar 2026) by Jonas Elm
RR by Anonymous Referee #1 (08 Apr 2026)
RR by Anonymous Referee #2 (24 Apr 2026)
ED: Publish as is (26 Apr 2026) by Jonas Elm
AR by Arash Fakharnezhad on behalf of the Authors (05 May 2026)
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Short summary
A computationally efficient monodisperse particle dynamics–computational fluid dynamics simulation is developed to predict soot particle growth in flames without use of reaction kinetic models. The proposed model is in good agreement with soot volume fraction and mobility size measurements, demonstrating a level of accuracy comparable to that of sectional models. This model can be readily used for design applications of engines and industrial burners.
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