Modeling quenching distance and flame propagation speed through an iron dust cloud with spatially random distribution of particles. (September 2016)

• Record Type: Journal Article
• Authors: Bidabadi, Mehdi; Mohebbi, Mohammad; Poorfar, Alireza Khoeini; Hochgreb, Simone; Lin, Cheng-Xian; Biouki, Saeed Amrollahy; Hajilou, Mohammadhadi
• Is Part Of: Journal of loss prevention in the process industries. Volume 43(2016:Sep.)
• Page Start: 138
• Page End: 146
• Publication Date: 2016-09
• Subjects: Flame propagating speed -- Quenching distance -- Iron -- Random particle distribution -- Heterogeneous combustion; Chemical industries -- Safety measures -- Periodicals; 660.2804
• DOI: 10.1016/j.jlp.2016.05.018
• Languages: English
• ISSNs: 0950-4230

Abstract

Abstract: In this research combustion of iron dust particles in a medium with spatially discrete sources distributed in a random way has been studied using a numerical approach. A new thermal model is generated to estimate flame propagation speed and quenching distance in a quiescent reaction medium. The flame propagation speed is studied as a function of iron dust concentration and particle diameter. The predicted propagation speeds as a function of these parameters are shown to agree well with experimental measurements. In addition, the minimum ignition energy has also been investigated as a function of equivalence ratio and particle diameter. The quenching distance has been studied as a function of particle diameter and validated by the experiment. Considering random distribution of particles, the obtained results provide more realistic and reasonable predictions of the combustion physics compared to the results of the uniform distribution of particles. Graphical abstract: The spatial distribution of particles in dust cloud: Layer n − 1 (burned particles), layer n (burning particles), and layer n + 1 (preheating particles). Highlights: A thermal model is generated to estimate quenching distance of Iron dust cloud. Flame front Speed in terms of dust concentration, particle sizes is studied. Random distribution of particles in 3D space is considered in the thermal model. Minimum ignition energy is investigated as a function of equivalence ratio.