Open Science Research Excellence
@article{(International Science Index):,
  title    = {Performance Evaluation of Karanja Oil Based Biodiesel Engine Using Modified Genetic Algorithm},
  author    = {G. Bhushan and  S. Dhingra and  K. K. Dubey},
  country   = {India},
  institution={National Institite of Technology Kurukshetra},
  abstract  = {This paper presents the evaluation of performance (BSFC and BTE), combustion (Pmax) and emission (CO, NOx, HC and smoke opacity) parameters of karanja biodiesel in a single cylinder, four stroke, direct injection diesel engine by considering significant engine input parameters (blending ratio, compression ratio and load torque). Multi-objective optimization of performance, combustion and emission parameters is also carried out in a karanja biodiesel engine using hybrid RSM-NSGA-II technique. The pareto optimum solutions are predicted by running the hybrid RSM-NSGA-II technique. Each pareto optimal solution is having its own importance. Confirmation tests are also conducted at randomly selected few pareto solutions to check the authenticity of the results.},
  {International Journal of Mechanical and Mechatronics Engineering },  volume    = {10},
  number    = {8},
  year      = {2016},
  pages     = {1590 - 1593},
  ee        = {},
  url       = {},
  bibsource = {},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 116, 2016},