Radial forging is an open die forging process for converting ingot into the hollow and solid cylinders. Deformation in this process result from a large number of short strokes and high speed hammer blows on the workpiece. Maximum power of radial forging machine is constant. Therefore knowing the value of die force can prevent of die damage. In this research a hot radial forging process is simulated through 3D finite element method. The behaviour of material is considered as an elastic-viscoplastic. A mixture of coulomb law and constant limit shear is applied to simulate workpiece-die contact. in this research rotational feed of workpiece is considered. in first step the effect of 5 parameter such as die inlet angle, billet temperature, die land, feed rate and reduction on die force are investigated. by increasing of die inlet angle, billet temperature, die force decrease and by increase die land, feed rate and reduction, die force increase. for predicting of die force, artificial neural networks and response surface method is used. 4 parameters such as die inlet angle ,billet temperature, feed rate and reduction are considered as input parameters and die force considered as a output parameter.The pridiction of response surface method is better than artificial neural network. But both of the method have good results. Key Words: Hot Radial forging, Solid cylinder products, 3-D FEM, ANN Method
