By leveraging the latest developments in materials characterization and machine learning, ADAPTSM members have unique opportunities to compete more effectively to become global AM leaders.
ADAPT optimizes processes for additive by exploring the complex process-structure-property relationships unique to additive methods. A barrier to AM process qualification is the lack of fundamental understanding about how the process variables impact the material microstructure and final part properties.
ADAPT is engaged with Lockheed Martin and other partners in a four-year program for the Office of Naval Research to develop real-time sensing and feedback control strategies that will improve process reliability and consistency, leading to higher quality and the ability to certify additive parts.
ADAPT optimizes materials for additive using high-throughput characterization and materials informatics to model the complex melting thermal histories that occur in AM processes.
Thermal processing standards for Inconel 718, a nickel superalloy known for high strength at high temperature, were developed for cast and wrought materials. For AM IN718, however, these standard heat treatments lead to the formation of defects that diminish strength. ADAPT has optimized new thermal processing schedules specific to rapidly solidified additive microstructures that maximize strength and minimize embrittlement.
To optimize parts for additive, ADAPT uses data informatics to integrate part quality, microstructure and topology in the design process.
ADAPT partnered with TARDEC, 407th Army Field Support Battalion–Carson, AFRL and Elementum 3D in a one-year program to redesign MRAP armored vehicle door hinges that often failed in the field and took months to replace. Using datasets in adapt.citrination to predict quality, the team designed hinges that were considerably stronger and lighter than the legacy parts. The new hinges were also printed as a single piece – a direct. bolt-in replacement of what previously was a six-part assembly.