Experimental Investigation and Data-driven Modeling of the Minimum Ignition Temperature of Corn and Iron Dust
Combustible dust is often a highly energetic substance and frequently found in the process industries. It not only poses occupational safety hazards such as suffocation or lung disorders for exposed people but is often extremely explosible in ignition sensitive environment. This probability of ignit...
Saved in:
| Main Author: | ARSHAD, USHTAR |
|---|---|
| Format: | Thesis |
| Language: | English |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-utpedia.22793 / |
| Published: |
2021
|
| Subjects: | |
| Online Access: |
http://utpedia.utp.edu.my/22793/1/Ushtar%20Arshad%2818003307%29%20.pdf http://utpedia.utp.edu.my/22793/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Experimental analysis and data-driven machine learning modelling of the minimum ignition temperature (MIT) of aluminium dust
by: Arshad, U., et al.
Published: (2022) -
Modelling of the minimum ignition temperature (MIT) of corn dust using statistical analysis and artificial neural networks based on the synergistic effect of concentration and dispersion pressure
by: Arshad, U., et al.
Published: (2021) -
SVM, ANN, and PSF modelling approaches for prediction of iron dust minimum ignition temperature (MIT) based on the synergistic effect of dispersion pressure and concentration
by: Arshad, U., et al.
Published: (2021) -
INTEGRATED ELECTROCOAGULATION – MEMBRANE SYSTEM FOR COLOR AND COD REMOVAL OF PALM OIL MILL EFFLUENT: EXPERIMENTAL AND MODELLING
by: SAAD, MUHAMMAD SYAAMIL
Published: (2021) -
Photodegradation of Diclofenac in Aqueous Solution using Visible Light driven TiO2/g-C3N4
by: JOHN JAYABALAN, PRASENNA
Published: (2021)