Characterisation of emission-performance paradigm of a reactivity-controlled compression ignition engine using artificial intelligent based multi-objective response surface methodology model fuelled with ternary fuel

Abstract

Petroleum reserves all over the world have been severe to the point of depletion in the previous several decades. Modern transportation and industry employ diesel-fuelled engines because of their higher thermal efficiency. This study investigates the reactivity-controlled compression ignition engine characteristics utilising n-octanol and Moringa oleifera oil blended with diesel. Tests are carried out at maximum load with different bowl geometries to examine the influence of operating parameters, namely injection pressure (500–1000 bar) and static injection timing (23–27°bTDC). Box–Behnken Forecasting input variables like injection pressure and timing with different piston bowls is done using the response surface approach. Maximum brake thermal efficiency and brake power are achieved with this ideal model, and the emission of unburned HC and NO_x is decreased. The effects of several variables, including piston bowls, fuel injection timing (FIT) and fuel injection pressure, are examined for an reactivity-controlled compression ignition engine running on Moringa oleifera oil/1-octanol fuel using an L27 orthogonal array. Various models were created and verified using experiment findings as the basis.

KEYWORDS:

• Piston bowls
• FIP
• FIT
• ANOVA
• RSM and engine characteristics

Disclosure statement

No potential conflict of interest was reported by the author(s).