Estimating gasoline performance in internal combustion engines with simulation metamodels

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• 作者：Rogé ; rio Nascimento de Carvalho^a ; ^b ; ^{rogerio.carvalho@petrobras.com.br} ; Guilherme Bastos Machado^a ; Marcelo José ; Colaç ; o^b
• 关键词：RBF ; radial basis functions ; DACE ; Design and Analysis of Computer Experiments ; EAC ; anhydrous ethanol ; EHC ; hydrous ethanol ; LHV ; lower heating value ; AKI ; anti-knock index ; MON ; motor octane number ; RON ; research octane number ; SFC ; specific fuel consumption ; RAAE ; Relative Average Absolute Error ; RMAE ; Relative Maximum Absolute Error
• 刊名：Fuel
• 出版年：2017
• 出版时间：1 April 2017
• 年：2017
• 卷：193
• 期：Complete
• 页码：230-240
• 全文大小：2475 K
• 卷排序：193

文摘

Predictions of distinct gasoline effects on the behavior of an engine performance. Metamodels were generated using radial basis functions and kriging techniques. The “leave-one-out” cross-validation procedure was applied to select metamodels. Most of the prediction residuals were lower than 3%.