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
Corn dust is a highly energetic substance and frequently found in the food manufacturing industries. It not only poses occupational safety hazards such as suffocation or lung disorders for exposed persons but is often extremely explosible in ignition sensitive environment. This probability of explos...
| Main Authors: | Arshad, U., Taqvi, S.A.A., Buang, A. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.23754 / |
| Published: |
Institution of Chemical Engineers
2021
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099258936&doi=10.1016%2fj.psep.2020.12.040&partnerID=40&md5=ec922e8be6dc8c67cae2f1cc5b2e4d2c http://eprints.utp.edu.my/23754/ |
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