Forging is one of the important manufacturing technologies to produce various mechanical components with high productivity. Recently, servo press that can control the back-pressure and the slide motion during the forging has attracted attention for high product quality without losing productivity. However, the back-pressure or the slide motion that affects the product quality and the productivity is completely determined by a trial-and-error method, and the determination is a crucial issue in forging using servo press. In this paper, a small product is selected as the case study, and both the back-pressure profile and the slide motion in cold forging are optimized. Numerical simulation using DEFORM3D is so intensive that sequential approximate optimization using radial basis function network is adopted to determine them. Based on the numerical result, the experiment using servo press (H1F200-2, Komatsu Industries, Corp.) is conducted. Through the numerical and experimental result, the validity of the proposed approach is examined.

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