Predictive modelling and optimization of performance and emissions of an auto-ignited heavy naphtha/n-heptane fueled HCCI engine using RSM

Improvement the Preparation of C4 Oolefin Through Ethanol Coupling and Optimization the Gray Correlation Degree Algorithm

“…Moreover, it was found that at 350 • C, the C4 olefin selectivity remains more stable over time with incremental increases. In the research of preparing light olefins, Wang Pei adopted the catalytic cracking method of heavy naphtha [6], in which the catalytic cracking products of raw materials were analyzed by thermal cracking instrument-gas chromatographymass spectrometry, and it was found that the catalytic cracking effect of heavy naphtha on calcined HZSM-5 to produce C3-C4 olefins was the best at 700 • C for 2 hours.…”

Advancing renewable fuel integration: A comprehensive response surface methodology approach for internal combustion engine performance and emissions optimization

“…The objective of this analysis critically reviews the application of RSM in ICE regarding the engine combustion, performance, and exhaust emission characteristics. In addition, the RSM is seen as capable of providing a relationship between the input and output variables of the experimental studies [ 17 , 18 ]. The basic principles of RSM are initially presented.…”