Flow Stress Materials Data: Filling in the Data Gaps

As manufacturing moves deeper into the world of digital twins, process modeling, and integrated computational materials engineering, the accuracy of materials data becomes paramount. As the simulation methods become more sophisticated, the assumptions of static material properties as input to these models is no longer reasonable. Transient materials property data is sometimes available in the published literature, but only as anecdotes and the occasional focused study. The challenge to gathering accurate transient materials property data that reflects the behavior of the material during processing operations has three major factors: (1) collection of data experimentally, (2) comparison to published data for verification and contextualization, and (3) suitability for use in ICME and process models. The Center for Materials Processing Data (CMPD) is addressing the challenges of obtaining transient materials processing data with a pilot project focused on obtaining flow stress data for several engineering alloys. With contributions from University of Connecticut, Worcester Polytechnic Institute, and University at Buffalo, the project addresses each of the three factors identified above. Experimental methods include Gleeble physical simulation at UConn, digitization of published materials data including Atlas of Formability Bulletins using machine learning methods at UB, and process modeling at WPI. These results will help to establish a frame work for the collection and validation of similar process data.