LAUSR

Abstract A current issue in the democratization of metal based additive manufacturing is the rapid and reliable development of process parameters for a range of alloys and a range of dependent and independent processing conditions. Current process parameter development approaches include a wide of strategies and multi-variable optimization methods. These methods can be costly from a time, material, and engineering knowledge perspective. A different approach is possible using a predictive software tool that takes key inputs and returns key process parameters for initial use. This tool is validated on two nickel based super alloys and benchmarked against literature results of a third. This tool is of particular interest to industries such as aerospace that routinely use a wide range of high temperature alloys in their products and manufacturing workflows.