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Details van artikel 80 van 122 gevonden artikelen
| Titel: |
Modeling, Optimization and simulation of Rotary Furnace using Artificial Neural Network |
| Auteur: |
Dr. R, K. Jain, Dr. D. K. Chaturvedi, Dr B. D. Gupta |
| Verschenen in: |
International journal of engineering science and technology |
| Paginering: | Jaargang 3 (2011) nr. 4 pagina's 2609-2621 |
| Jaar: |
2011 |
| Inhoud: |
This paper deals with modeling and simulation of LDO fired rotary furnace using feed forward modeling method of artificial neural network (ANN).The authors conducted experimental investigations onfuel consumption in a rotary furnace in an industry. It was observed that 6% oxygen enrichment of the air preheated up to 4600C simultaneously with reduction of air volume to 75% of its theoretical requirement lowered the specific fuel consumption to 0.260 lit/kg..The compact heat exchanger with 533 fins was used for preheating the air. Accordingly the emission level was also considerably reduced. The feed forward modeling method of artificial neural network contained in MAT LAB software was used for modeling andoptimization of specific fuel consumption. The percentage variation, between actual experimental data and same data when simulated is +1.730%, and other feasible simulated datas is +6.192%,-3.038%,-5.692%,and+0.115%which is fairly acceptable. |
| Uitgever: |
Engg Journals Publication (provided by DOAJ) |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 80 van 122 gevonden artikelen
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