Injection process in diesel engines is known as primary factor influencing the flow dynamics, combustion kinetics, emission, and engine performance. Since several parameters have interactions in energy systems to give final output, the variation and cross impact of injection system and chamber geometry in optimization framework seems critical in energy engineering. For improvement of spray characteristics and subsequent engine power boost, the genetic algorithm optimization method is applied to find the best solution by variation of injector nozzle position, half spray cone angle, and outer bowl diameter. The merit function as weighted sums multiobjective function is defined as objective = IP - 2*SMD to maximize indicated power (IP) and to minimize sauter mean diameter (SMD). The results are presented for the best design (RunID2) and the worst design (RunID19) to contrast the features leading to better outcome. It is indicated that a medium sized outer bowl diameter (Db) and lesser spray angle contribute to achieve the optimum result. In total 80 cases are generated and the best design succeeds in 1.53% IP increase and 10.48% reduction in min. SMD decrease with respect to those of baseline design. Different configurations are introduced with fixed compression ratio (compensation volume) and fixed injection angle and the results indicate that injector’s z-position has the slightest effect on the objective and final output.
