Combined Effect of Operating Parameters and Nanoparticles on the Performance of a Diesel Engine: Response Surface Methodology-Coupled Genetic Algorithm Approach.

ABSTRACT: This paper's goal is to ascertain the optimum input parameters and nanoparticle concentrations for least emission and better performance by utilizing the genetic algorithm (GA) and response surface methodology (RSM) in a single-cylinder diesel engine running with 20% blend of biodiesel derived from Manilkara zapota seeds. Experiments to be conducted on the engine were designed with a central composite design (CCD) with input parameters of loads (20-100%), nanoparticle concentrations (NPCs, 0-80 ppm), compression ratios (CRs, 16.5-18.1), injection pressures (IPs, 190-230 bar), and injection timings [ITs, 17-29° bTDC (before top dead center)], and the engine response was recorded. The comparative analysis of optimization tools RSM and GA was employed for finding the ideal setting of e

SUBMITTER: Dewangan A 

PROVIDER: S-EPMC10339400 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature