Due to the large variety of RP&M material/machines and the. strengths/weaknesses
associated with different RP&M processes, the decision·to select a suitableRP&M system
becomes increasingly difficult. This paper presents a knowledge-based approach for the selection
ofsuitable RP&M material/machine to meet specific. requirements ofRP&Mapplications. The
system receives input data on the CAD modelandthe user's specifications,andgenerates outputs
that provide the most appropriate combination ofRP&Mmaterial/machine.·Optimal orientations,
together with estimated manufacturing time and cost, are considered and given in the final
outcome to help the user make the choice.Mechanical Engineerin