An irregular parts optimal layout method based on artificial neural networks is proposed. The manufacturing process of parts is involved in the layout problem. Every side of shapes is expanded in consideration of the machining allowance. Self-Organizing Map (SOM) and Hopfield artificial neural network are integrated to complete the automatic layout. In the beginning, irregular parts are randomly distributed. Self-Organizing Map is used to look for the best position of the irregular parts by moving them. The overlapping area is gradually reduced to zero. Hopfield neural network is used to rotate each part, and each part's optimum rotating angle is obtained when the neural network is in stable state. The algorithm in this paper can solve the irregular parts layout problem and rectangular parts layout problem in the given region. Examples indicate that this algorithm is effective and practical.
A numerical study was conducted to examine the flow field around and heat transfer from an elliptical cylinder of AR=0.5 in two types of the annular boundary and rectangular one. The fluid near the surface separates from the cylinder surface and forms a steady recirculation bubble at the rear end of the cylinder at the first critical Reynolds (Rec1). The vortices begins the alternating separation at the second critical Reynolds (Rec2). Rec1 and Rec2 for the fluid in two boundary types are studied. The Nusselt numbers are compared at Rec1 and Rec2 respectively.
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