Automatic preform design and optimization for aeroengine disk forgings

卷:125

Article

关键词: SHAPE OPTIMIZATION;    NEURAL-NETWORK;    DIE;    COMPONENT;   

DOI  :  10.1007/s00170-022-10627-z

来源: SCIE

【 摘 要 】

To ensure a more uniform forging distribution microstructure and improve the service performance of aeroengine disk parts, an automated preform design method is proposed for integrated preform shape design and optimization based on the non-uniform rational B-spline (NURBS) curve, finite element method, and genetic algorithm (GA). First, the random preform shape graph is automatically constructed by the NURBS curve design criterion. The volume and shape complexity are used as the constraints of the preform. Second, the ratio of the mesh area within the set strain range to the total mesh area is used as the fitness function for the uniformity of deformation, and the GA is used for optimization. Finally, a large disk forging is an example of its optimal design. Results show that the deformation uniformity of the forgings is excellent, its fitness value is as high as 99.59%, and problems, such as folding, underfilling, and limited distribution of flash, do not exist, thereby verifying the effectiveness of the method. In addition, the method has the advantage of strong universality, that is, it can find the preform shape with good deformation uniformity for any shape forgings.

【 授权许可】

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