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 | 163 | 2014 |
Derivation of Le Chatelier's mixing rule for flammable limits CV Mashuga, DA Crowl Process safety progress 19 (2), 112-117, 2000 | 129 | 2000 |
Flammability zone prediction using calculated adiabatic flame temperatures CV Mashuga, DA Crowl Process Safety Progress 18 (3), 127-134, 1999 | 112 | 1999 |
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 | 106 | 2020 |
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 | 98 | 1998 |
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 | 69 | 2019 |
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 | 54 | 2019 |
Effect of particle size polydispersity on dust cloud minimum ignition energy D Castellanos, P Bagaria, CV Mashuga Powder technology 367, 782-787, 2020 | 43 | 2020 |
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 | 39 | 2018 |
Classification of particle breakage due to dust dispersion P Bagaria, Q Li, A Dastidar, C Mashuga Powder technology 342, 204-213, 2019 | 32 | 2019 |
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 | 32 | 2014 |
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 | 31 | 2021 |
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 | 31 | 2015 |
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 | 28 | 2019 |
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 | 27 | 2020 |
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 | 27 | 2020 |
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 | 27 | 2016 |
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 | 26 | 2019 |
Effect of particle morphology on dust cloud dynamics S Prasad, C Schweizer, P Bagaria, WD Kulatilaka, CV Mashuga Powder Technology 379, 89-95, 2021 | 25 | 2021 |
Construction of a 36 L dust explosion apparatus and turbulence flow field comparison with a standard 20 L dust explosion vessel D Castellanos, V Carreto, T Skjold, S Yuan, P Chaudhari, MS Mannan, ... Journal of Loss Prevention in the Process Industries 55, 113-123, 2018 | 25 | 2018 |