UB Paderborn / Katalog / Suche / in CDI

1 – 25 von 31

Sortiert nach

Effect of particle size polydispersity on dust cloud minimum ignition energy

Powder technology, 2020-05, Vol.367, p.782-787

2020

Volltextzugriff (PDF)

The effect of particle size polydispersity on the explosibility characteristics of aluminum dust

Powder technology, 2014-03, Vol.254, p.331-337

2014

Volltextzugriff (PDF)

A review of aerosol flammability and explosion related incidents, standards, studies, and risk analysis

Process safety and environmental protection, 2021-02, Vol.146, p.499-514

2021

Volltextzugriff (PDF)

Effect of particle morphology on dust cloud dynamics

Powder technology, 2021-02, Vol.379, p.89-95

2021

Volltextzugriff (PDF)

High-speed digital in-line holography for in-situ dust cloud characterization in a minimum ignition energy device

Powder technology, 2020-10, Vol.376, p.612-621

2020

Volltextzugriff (PDF)

Developing Quantitative Structure–Property Relationship Models To Predict the Upper Flammability Limit Using Machine Learning

Industrial & engineering chemistry research, 2019-02, Vol.58 (8), p.3531-3537

2019

Volltextzugriff (PDF)

Quantitative Structure-Property Relationship (QSPR) models for Minimum Ignition Energy (MIE) prediction of combustible dusts using machine learning

Powder technology, 2020-07, Vol.372, p.227-234

2020

Volltextzugriff (PDF)

Investigation of particle density on dust cloud dynamics in a minimum ignition energy apparatus using digital in-line holography

Powder technology, 2021-05, Vol.384, p.297-303

2021

Volltextzugriff (PDF)

Characterizing the autoignition behavior of simple paraffins and alcohols; comparisons and implications

Journal of loss prevention in the process industries, 2022-07, Vol.77, p.104773, Article 104773

2022

Volltextzugriff (PDF)

Liquid flammability ratings predicted by machine learning considering aerosolization

Journal of hazardous materials, 2020-03, Vol.386, p.121640-121640, Article 121640

2020

Volltextzugriff (PDF)

Investigation of aluminum dust cloud dispersion characteristics in an explosion hazard testing device using laser-based particle and flow diagnostics

Process safety and environmental protection, 2022-10, Vol.166, p.310-319

2022

Volltextzugriff (PDF)

Multi-functional SERS substrate: Collection, separation, and identification of airborne chemical powders on a single device

Sensors and actuators. B, Chemical, 2019-10, Vol.297, p.126765, Article 126765

2019

Volltextzugriff (PDF)

Partial inerting of dust clouds using a modified standard minimum ignition energy device

Journal of loss prevention in the process industries, 2017-07, Vol.48, p.145-150

2017

Volltextzugriff (PDF)

Calorimetric Studies on the Thermal Stability of 2‑Nitrotoluene Explosives with Incompatible Substances

Industrial & engineering chemistry research, 2019-07, Vol.58 (29), p.13366-13375

2019

Volltextzugriff (PDF)

Thermal decomposition of solid benzoyl peroxide using Advanced Reactive System Screening Tool: Effect of concentration, confinement and selected acids and bases

Journal of loss prevention in the process industries, 2019-07, Vol.60, p.28-34

2019

Volltextzugriff (PDF)

Effect of temperature and selected additives on the decomposition “onset” of 2-nitrotoluene using Advanced Reactive System Screening Tool

Journal of loss prevention in the process industries, 2017-09, Vol.49, p.630-635

2017

Volltextzugriff (PDF)

Effect of particle size and polydispersity on dust entrainment behind a moving shock wave

Experimental thermal and fluid science, 2018-05, Vol.93, p.1-10

2018

Volltextzugriff (PDF)

Dust Explosion of Carbon Nanofibers Promoted by Iron Nanoparticles

Industrial & engineering chemistry research, 2015-04, Vol.54 (15), p.3989-3995

2015

Volltextzugriff (PDF)

Validation of a new formula for predicting the lower flammability limit of hybrid mixtures

Journal of loss prevention in the process industries, 2015-05, Vol.35, p.52-58

2015

Volltextzugriff (PDF)

Carbon nanofiber explosion violence and thermal stability

Journal of thermal analysis and calorimetry, 2017-07, Vol.129 (1), p.221-231

2017

Volltextzugriff (PDF)

Reconsidering autoignition in the context of modern process safety: Literature review and experimental analysis

Journal of loss prevention in the process industries, 2023-02, Vol.81, p.104963, Article 104963

2023

Volltextzugriff (PDF)

Investigation of niacin and aluminum dust cloud ignition characteristics in an explosion hazard testing device using high-speed imaging

Process safety and environmental protection, 2022-10, Vol.166, p.320-327

2022

Volltextzugriff (PDF)

Functional group analysis and machine learning techniques for MIE prediction

Journal of loss prevention in the process industries, 2024-07, Vol.89, p.105289, Article 105289

2024

Volltextzugriff (PDF)

Minimum ignition energy of amino acids and their Fmocs

Journal of loss prevention in the process industries, 2022-07, Vol.77, p.104763, Article 104763

2022

Volltextzugriff (PDF)

Minimum Ignition Energy (MIE) prediction models for ignition sensitive fuels using machine learning methods

Journal of loss prevention in the process industries, 2021-03, Vol.69, p.104343, Article 104343

2021

Volltextzugriff (PDF)

1 – 25 von 31

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(31)
Mit Volltextzugriff
(29)

Publikationsform

Artikel
(31)

Sprache

Englisch
(31)
Japanisch
(2)

Erscheinungsjahr

n.n

Thema

15 weitere anzeigen...

Weniger anzeigen...

Menü

Weitere Dienste

Einstellungen

Effect of particle size polydispersity on dust cloud minimum ignition energy

The effect of particle size polydispersity on the explosibility characteristics of aluminum dust

A review of aerosol flammability and explosion related incidents, standards, studies, and risk analysis

Effect of particle morphology on dust cloud dynamics

High-speed digital in-line holography for in-situ dust cloud characterization in a minimum ignition energy device

Developing Quantitative Structure–Property Relationship Models To Predict the Upper Flammability Limit Using Machine Learning

Quantitative Structure-Property Relationship (QSPR) models for Minimum Ignition Energy (MIE) prediction of combustible dusts using machine learning

Investigation of particle density on dust cloud dynamics in a minimum ignition energy apparatus using digital in-line holography

Characterizing the autoignition behavior of simple paraffins and alcohols; comparisons and implications

Liquid flammability ratings predicted by machine learning considering aerosolization

Investigation of aluminum dust cloud dispersion characteristics in an explosion hazard testing device using laser-based particle and flow diagnostics

Multi-functional SERS substrate: Collection, separation, and identification of airborne chemical powders on a single device

Partial inerting of dust clouds using a modified standard minimum ignition energy device

Calorimetric Studies on the Thermal Stability of 2‑Nitrotoluene Explosives with Incompatible Substances

Thermal decomposition of solid benzoyl peroxide using Advanced Reactive System Screening Tool: Effect of concentration, confinement and selected acids and bases

Effect of temperature and selected additives on the decomposition “onset” of 2-nitrotoluene using Advanced Reactive System Screening Tool

Effect of particle size and polydispersity on dust entrainment behind a moving shock wave

Dust Explosion of Carbon Nanofibers Promoted by Iron Nanoparticles

Validation of a new formula for predicting the lower flammability limit of hybrid mixtures

Carbon nanofiber explosion violence and thermal stability

Reconsidering autoignition in the context of modern process safety: Literature review and experimental analysis

Investigation of niacin and aluminum dust cloud ignition characteristics in an explosion hazard testing device using high-speed imaging

Functional group analysis and machine learning techniques for MIE prediction

Minimum ignition energy of amino acids and their Fmocs

Minimum Ignition Energy (MIE) prediction models for ignition sensitive fuels using machine learning methods

Suchergebnisse filtern