A non-dominated sorted Genetic Algorithm approach proposed by Goldberg and later refined by Srinivas & Deb has been implemented with appropriate sharing function value for stage optimization of axial compressor. The objectives for the multi objective problem are Stage Efficiency, Inlet stage specific Area & Stall margin Coefficient. Jin Shik Lim and Myung kyoon Chung performed the optimization axial compressor stage taking two objective functions, stage efficiency and stage weight into consideration and by taking eight design variables. In the present approach the problem is modeled as a three objective function problem with five design variables. NSGA technique is implemented and Results were analyzed for non dominated solution fronts among the three objective functions and sensitivity of design variables on objective functions has been studied.
展开▼
