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Chad V. Mashuga
Chad V. Mashuga
Assistant Professor of Chemical Engineering, Texas A&M University
Verified email at tamu.edu - Homepage
Title
Cited by
Cited by
Year
The effect of particle size polydispersity on the explosibility characteristics of aluminum dust
D Castellanos, VH Carreto-Vazquez, CV Mashuga, R Trottier, AF Mejia, ...
Powder technology 254, 331-337, 2014
1502014
Derivation of Le Chatelier's mixing rule for flammable limits
CV Mashuga, DA Crowl
Process safety progress 19 (2), 112-117, 2000
1182000
Flammability zone prediction using calculated adiabatic flame temperatures
CV Mashuga, DA Crowl
Process Safety Progress 18 (3), 127-134, 1999
1031999
Application of the flammability diagram for evaluation of fire and explosion hazards of flammable vapors
CV Mashuga, DA Crowl
Process Safety Progress 17 (3), 176-183, 1998
941998
Bayesian network and game theory risk assessment model for third-party damage to oil and gas pipelines
Y Cui, N Quddus, CV Mashuga
Process Safety and Environmental Protection 134, 178-188, 2020
822020
Developing quantitative structure–property relationship models to predict the upper flammability limit using machine learning
S Yuan, Z Jiao, N Quddus, JSII Kwon, CV Mashuga
Industrial & Engineering Chemistry Research 58 (8), 3531-3537, 2019
622019
Effect of particle morphology on dust minimum ignition energy
P Bagaria, S Prasad, J Sun, R Bellair, C Mashuga
Powder technology 355, 1-6, 2019
512019
Effect of dust dispersion on particle breakage and size distribution in the minimum ignition energy apparatus
P Bagaria, J Zhang, C Mashuga
Journal of Loss Prevention in the Process Industries 56, 518-523, 2018
352018
Effect of particle size polydispersity on dust cloud minimum ignition energy
D Castellanos, P Bagaria, CV Mashuga
Powder technology 367, 782-787, 2020
332020
Influence of particle size and crystalline level on the efficiency of dust explosion inhibitors
D Castellanos, A Lewandowski, A Diaz, AF Mejia, V Carreto, C Mashuga, ...
Industrial & Engineering Chemistry Research 53 (28), 11527-11537, 2014
292014
Validation of a new formula for predicting the lower flammability limit of hybrid mixtures
J Jiang, Y Liu, CV Mashuga, MS Mannan
Journal of Loss Prevention in the Process Industries 35, 52-58, 2015
282015
Process hazard evaluation for catalytic oxidation of 2-octanol with hydrogen peroxide using calorimetry techniques
Y Sun, L Ni, M Papadaki, W Zhu, J Jiang, C Mashuga, B Wilhite, ...
Chemical Engineering Journal 378, 122018, 2019
272019
Classification of particle breakage due to dust dispersion
P Bagaria, Q Li, A Dastidar, C Mashuga
Powder technology 342, 204-213, 2019
272019
A review of aerosol flammability and explosion related incidents, standards, studies, and risk analysis
S Yuan, C Ji, H Han, Y Sun, CV Mashuga
Process Safety and Environmental Protection 146, 499-514, 2021
252021
Effect of particle size reduction due to dust dispersion on minimum ignition energy (MIE)
P Bagaria, B Hall, A Dastidar, C Mashuga
Powder technology 356, 304-309, 2019
252019
Effect of dust dispersion on particle integrity and explosion hazards
P Bagaria, J Zhang, E Yang, A Dastidar, C Mashuga
Journal of Loss Prevention in the Process Industries 44, 424-432, 2016
252016
Liquid flammability ratings predicted by machine learning considering aerosolization
S Yuan, Z Zhang, Y Sun, JSII Kwon, CV Mashuga
Journal of hazardous materials 386, 121640, 2020
232020
Partial inerting of dust clouds using a modified standard minimum ignition energy device
P Chaudhari, CV Mashuga
Journal of Loss Prevention in the Process Industries 48, 145-150, 2017
232017
Quantitative Structure-Property Relationship (QSPR) models for Minimum Ignition Energy (MIE) prediction of combustible dusts using machine learning
P Chaudhari, N Ade, LM Pérez, S Kolis, CV Mashuga
Powder technology 372, 227-234, 2020
222020
Experimental and thermodynamic study of aerosol explosions in a 36 L apparatus
S Yuan, C Ji, A Monhollen, JSII Kwon, C Mashuga
Fuel 245, 467-477, 2019
222019
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