A predictive model to assess dust explosion occurrence

Hassan, Junaid (2014) A predictive model to assess dust explosion occurrence. Masters thesis, Memorial University of Newfoundland.

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    Available under License - The author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission.
    (Original Version)

Abstract

The danger of a dust explosion is difficult to avoid in process facilities where combustible dusts are handled. To develop effective prevention and mitigation strategies, it is very important to understand the interaction among dust explosion controlling parameters and to assess the likelihood of an dust explosion occurrence. Six controlling parameters ( Particle Diameter, Minimum Ignition Energy, Minimum Explosible Concentration, Minimum Ignition Temperature, Limiting Oxygen Concentration and Explosion Pressure) are identified to model a predictive tool which can assess the likelihood of dust explosion in a given operating condition. Experiments have been conducted by the dust explosion researcher to understand the characteristics of these parameters and the generated data has a substantial scope in estimating dust explosion probability with the use of probabilistic approach. A conceptual framework is developed to use the existing experimental data on dust explosion parameter to assess the dust explosion prediction in a given facility. The model is further extended with considering dust classes and a detailed implementation in specific process industries are discussed with case studies. The proposed model can assess the dust explosion probability in a given operating condition at a specific process facility. The assessment can be very helpful to strategies effective prevention and mitigating measures in process industries. Three case studies are discussed in this study to demonstrate the real life application of the model.

Item Type: Thesis (Masters)
URI: http://research.library.mun.ca/id/eprint/6357
Item ID: 6357
Additional Information: Includes bibliographical references.
Department(s): Engineering and Applied Science, Faculty of
Date: May 2014
Date Type: Submission
Library of Congress Subject Heading: Dust explosions--Prevention; Industrial safety--Mathematical models; Chemical engineering--Safety measures; Chemical industry--Dust control

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