Effect of Weathering of Coal and Organic Dusts on Their Spontaneous Ignition

Joshi, Kulbhushan; Raghavan, Vasudevan; Rangwala, Ali S.

doi:10.1007/s10694-012-0292-7

Cited by 9 publications

(5 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Faced with the constant risk in industrial facilities, researchers have perceived the need to assess the hazard level of particulate materials igniting and developing smoldering combustion or flaming combustion. Furthermore, if accumulated on surfaces with high temperatures, even small layers of particulate material, such as powder or dust, may undergo thermal ignition, further leading to smoldering [8]. Over the years, this subject has been approached theoretically as well as experimentally.…”

Section: Theoretical Foundationmentioning

confidence: 99%

Experimental Design for the Propagation of Smoldering Fires in Corn Powder and Cornflour

Rosa

Teixeira

Palacio

et al. 2022

Eng

View full text Add to dashboard Cite

Corn is an example of an agricultural grain with a specific combustibility level and can promote smoldering fires during storage. This paper conducts an experimental design to numerically evaluate how three parameters, namely particle size, moisture, and air ventilation, influence the smoldering velocity. The work methodology is based on Minitab’s experimental design, which defined the number of experiments. First, a pile of corn is heated by a hot plate and a set of thermocouples registers all temperature variations. Then, a full-factorial experiment is implemented in Minitab to analyze the smoldering, which provides a mathematical equation to represent the smoldering velocity. The results indicate that particle size is the most influential factor in the reaction, with 35% and 45% variation between the dried and wet samples. Moreover, comparing the influence of moisture between corn flour and corn powder samples, a variation of 19% and 31% is observed; additionally, analyzing the ventilation as the only variant, we noticed variations of 15% and 17% for dried and wet corn flour, and 27% and 10% for dried and wet corn powder. Future studies may use the experimental design of this work to standardize the evaluation methodology and more effectively evaluate the relevant influencing factors.

show abstract

Section: Theoretical Foundationmentioning

confidence: 99%

Experimental Design for the Propagation of Smoldering Fires in Corn Powder and Cornflour

Rosa

Teixeira

Palacio

et al. 2022

Eng

View full text Add to dashboard Cite

show abstract

“…Therefore, we first analyzed the kinetics by studying TGA experiments and obtained the corresponding kinetic parameters through inverse modelling [16]. The TGA experiments of Pittsburgh bituminous coal [9] were chosen as it was the only type of coal that the authors could find in the literature with enough high-fidelity data for both TGA experiments (with data at different heating rates) and self-heating experiments. The inverse modelling was conducted using the evolutionary algorithm AMALGAM [17].…”

Section: Inverse Modelling Of Microscale Experimentsmentioning

confidence: 99%

“…We will examine this mechanism in detail in the following section. Rangwala et al [22] who used the same coal as used in the aforementioned TGA experiments [9]. To conduct blind predictions of the present model, the second was another set of hot plate experiments [23] using a different coal (South Africa coal).…”

Section: Inverse Modelling Of Microscale Experimentsmentioning

confidence: 99%

“…Figure1compares the simulations using inverse-modelled kinetics parameters and TGA experimental data in[9]. From 30 to 200 o C, the sample mass gradually decreased by 4% due to drying.…”

mentioning

confidence: 95%

“…This study develops a computational model that incorporates a multi-step reaction scheme, including both adsorption and smouldering, to simulate the self-heating ignition of coal. We first study and inverse model the TGA experiments carried out on Pittsburgh bituminous coal [9] to obtain the kinetic parameters. The multi-step scheme and the obtained kinetic parameters are then used to simulate hot plate experiments of two different coals.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations