Method for Evaluating Candidates for Additive Manufacturing (AM) Processes

ABSTRACT: This project will develop a methodology to assist Air Force Sustainment Centers (AFSC) sustainment engineers and procurement personnel to rapidly acquire certified parts using Additive Manufacturing (AM) technologies. AFSC are experiencing difficulty in supporting military hardware as many systems are beyond expected service life and require significant maintenance. The U.S. industrial base is shrinking and AFSC procurement offices have fewer options when placing orders to support these aging systems. AFSC buyers frequently wait a month for a quote after they have found a capable supplier. Fortunately AM technologies have the potential to ameliorate many of these problems. However, with any emerging technology, it is difficult to compare, contrast and apply the most appropriate technology for the fabrication of replacement components. As such, CalRAM will provide AFSC personnel the ability to quickly determine if a part is a candidate for an AM process, select the process, and place an order for a part. AM quotes can be generated in hours. The methodology will consist of a set of"Filters"that eliminate simple or common parts like nuts and bolts and focus on high payoff parts to be produced by the best value AM process. BENEFIT: A methodology will be established to rapidly screen candidate legacy parts for fabrication by Additive Manufacturing (AM). AM parts are capable of providing the same quality as conventionally fabricated parts, but with much reduced cost and schedule.