Appraisal of artificial neural networks to the emission analysis and prediction of CO2, soot, and NOx of n-heptane fueled engine
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- 作者：Hadi Taghavifara ; Hamid Taghavifarb ; ha.taghavifar@urmia.ac.ir" class="auth_mail" title="E-mail the corresponding author ; hamid.taghavifar@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Aref Mardanib ; Arash Mohebbib ; Shahram Khalilaryaa ; Samad Jafarmadara
- 关键词：ANN ; CO2 ; Soot ; NOx ; n-heptane
- 刊名：Journal of Cleaner Production
- 出版年：2016
- 出版时间：20 January 2016
- 年：2016
- 卷：112
- 期：part_P2
- 页码：1729-1739
- 全文大小：3222 K
文摘
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The wall heat flux modeling of n-heptane fueled direct injection (DI) diesel engine was performed.
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The coupled computational fluid dynamics (CFD) and artificial neural network (ANN) approach was developed.
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A 6-17-1 ANN topology yielded the MSE equal to 0.5217 and R2 equal to 0.99.