Fast, Easy-to-use, Machine Learning-developed Models of Prediction of Flash Point, Heat of Combustion, and Lower and Upper Flammability Limits for Inherently Safer Design

Author(s):  
Sunhwa Park ◽  
James P. Bailey ◽  
Hans J. Pasman ◽  
Qingsheng Wang ◽  
Mahmoud M. El-Halwagi
2018 ◽  
Vol 249 ◽  
pp. 03013
Author(s):  
Tawfiq Al Mughanam

This manuscript considers the operational flammability limits of commercial fuels used in the automotive and in the aviation industry. Commonly employed fuels are considered in this study. Understanding the flammability limits is an important aspect while choosing right fuel for a given application. An explosion of stored fuel or combustion system can be catastrophic and can create a serious impact to the society. Therefore, researchers while developing fuels and combustion systems must give considerable attention. This manuscript reviews the effect of vapour pressure and temperature on flammability of fuels and reviews the auto ignition and flash point temperature of fuels commonly seen in the automotive and in the aviation industry.


2019 ◽  
Vol 570 (3) ◽  
pp. 15-19
Author(s):  
Michał Grabarczyk ◽  
Katarzyna Bogdan

The article discusses the similarities and differences between two explosiveness parameters, i.e. flash point and explosion point. Literature overview, experimental measurements and computational studies were performed on the explosion point parameter, which is also called temperature flammability limits. Research was conducted in accordance with the PN-EN 15794 standard, which specifically refers to determining the explosion point parameter of flammable liquids. The article also contains the authors’ insight on the measurements methodology, as well as accuracy validation of various estimation methods. The obtained results can be used for explosion protection of technological processes which involve flammable liquids.


Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3491 ◽  
Author(s):  
Jozef Martinka ◽  
Peter Rantuch ◽  
Igor Wachter

Methanol and ethanol are among the most important biofuels and raw materials used to produce biorenewable fuels. These fuels are used with varying water contents. Nevertheless, the exact impact of the water content of these fuels on the energy potential and combustion characteristics is still unknown. Besides that, there are two noticeable risks (environmental impact of combustion and fire risk) associated with their production, processing, and utilization. Likewise, impact of the water content of these fuels on fire risk and the impact of their combustion on the environment is also unknown. The best indicator of energy potential is the effective heat of combustion, and the best combustion characteristic and indicator of the impact of the combustion of alcohols on the environment is the carbon monoxide (CO) yield, whereas the fire risk of liquid fuels is quantified by the flash point and maximum heat release rate (mHRR). The dependency of flash point on the water content was determined via the Pensky-Martens apparatus and the dependencies of the effective heat of combustion, CO yield, and mHRR on the water content were determined via the cone calorimeter. With increased water content, the flash points of both methanol and ethanol exponentially increased and the both effective heat of combustion and mHRR almost linearly decreased. In the range of water content from 0 to 60%, the CO yield of both methanol and ethanol was practically independent of the water content.


2012 ◽  
Vol 25 (1) ◽  
pp. 40-51 ◽  
Author(s):  
Mehdi Bagheri ◽  
Mehrdad Bagheri ◽  
Farzane Heidari ◽  
Ali Fazeli

2020 ◽  
Vol 43 ◽  
Author(s):  
Myrthe Faber

Abstract Gilead et al. state that abstraction supports mental travel, and that mental travel critically relies on abstraction. I propose an important addition to this theoretical framework, namely that mental travel might also support abstraction. Specifically, I argue that spontaneous mental travel (mind wandering), much like data augmentation in machine learning, provides variability in mental content and context necessary for abstraction.


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