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Optimization of the forging of aerofoil blade using the finite element method and fuzzy-Pareto based genetic algorithm
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  • Optimization of the forging of aerofoil blade using the finite element method and fuzzy-Pareto based genetic algorithm
  • Optimization of the forging of aerofoil blade using the finite element method and fuzzy-Pareto based genetic algorithm
저자명
Alimirzaloo. V.,Sadeghi. M.H.,Biglari. F.R.
간행물명
Journal of mechanical science and technology
권/호정보
2012년|26권 6호|pp.1801-1810 (10 pages)
발행정보
대한기계학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

In this research non-isothermal forging process of an aerofoil blade was simulated using 3-dimentional finite element method. Then an optimization approach integrated with the finite element method has been applied to optimize the blade forging process. Preform shape and angular position of the die parting line were optimized in order to minimize the flash volume, strain non-uniformity and lateral forces generated during the forging operation. The optimization method includes the finite element approach and the response surface method for the formulation of the objective functions. Using the multi-objective genetic algorithm, Pareto front of global optimal solutions was generated. Then a fuzzy-based membership value assignment method was used to select the best compromise solution. The simulation of the blade forging process was verified by experimental test. Results show that the numerical results and experimental tests have a good agreement. Waste material and lateral forces generated during the forging operation is decreased with optimization method significantly. Therefore the proposed approach is an appropriate method for multi-objective optimization of the forging process of aerofoil blades.