F
Faisal Khan
Researcher at Memorial University of Newfoundland
Publications - 785
Citations - 28657
Faisal Khan is an academic researcher from Memorial University of Newfoundland. The author has contributed to research in topics: Risk assessment & Risk analysis. The author has an hindex of 70, co-authored 705 publications receiving 21281 citations. Previous affiliations of Faisal Khan include Royal Hobart Hospital & Australian Maritime College.
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Kinetic modeling and dynamic analysis of simultaneous saccharification and fermentation of cellulose to bioethanol
TL;DR: In this paper, a dynamic analysis of the simultaneous saccharification and fermentation of cellulose to ethanol was carried out to determine the key reaction kinetics parameters and product inhibition features of the process.
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A numerical fire simulation approach for effectiveness analysis of fire safety measures in floating liquefied natural gas facilities
TL;DR: In this paper, the authors present a rigorous procedure to study potential accident scenarios in an offshore (floating processing) facility with different ignition source locations and verify the effectiveness of safety measures using computational fluid dynamics code.
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A predictive approach to fitness-for-service assessment of pitting corrosion
TL;DR: In this article, the authors present a new fitness-for-service (FFS) assessment methodology for process equipment to track and predict pitting corrosion, where pit density is modeled using a non-homogenous Poisson process and induction time for pit initiation is simulated as the realization of a Weibull process.
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Accelerated pitting corrosion test of 304 stainless steel using ASTM G48; Experimental investigation and concomitant challenges
Jyoti Bhandari,Samantha Lau,Rouzbeh Abbassi,Vikram Garaniya,Roberto Ojeda,Denis Lisson,Faisal Khan +6 more
TL;DR: In this article, the effect of surface finish and aeration of the test solution on the corrosion behavior of 304 stainless steel specimens in 6% ferric chloride were examined and compared.
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Operational risk analysis of blowout scenario in offshore drilling operation
TL;DR: In this article, a Bayesian Network (BN) model for the offshore drilling operation is presented, which considers the evolution of hazards as a function of time and space, and failure of the safety barriers.