Broadcast One

First broadcast May 2014;
available on-demand

How Leading Aerospace Enterprises Use and Manage Materials Data

Learn from Lockheed Martin, Honeywell, and NASA

At a recent web seminar (hosted by NASA Tech Briefs), Honeywell Aerospace, Lockheed Martin, and NASA all shared experiences of managing and using critical data on composites, alloys, and other materials.

Honeywell described their use of CES Selector over the last 15 years, with two case studies demonstrating reduced selection time and cost avoidance. As John Perek explained, these benefits come from applying a rational material selection process that is exhaustive, auditable, and repeatable: “that is the process we should all strive for and CES Selector is the tool that helps us achieve that.” Read the case studies 

Lockheed Martin explained how the use of GRANTA MI:Materials Gateway can deliver significant benefits, including consistent material usage, improved documentation, traceability, and considerable time savings.Lockheed Martin shared details of recent materials data management program. The specific focus was on how designers choose an appropriate material and assign the associated materials property data to their product designs. Renae Rippere explained how the use of GRANTA MI:Materials Gateway has delivered significant benefits, including consistent material usage, improved documentation, traceability, and considerable time savings. She also shared tips for other companies considering adopting such an approach. Read the case study 

NASA discussed the need for a robust informatics infrastructure for ICME, drawing on the work on the Material Data Management Consortium. Such a basis should enable the capture, analysis, dissemination and maintenance of various types of data for all materials, as well facilitating the verification and validation of model output, and certification of toolsets at multiple length scales. Dr. Stephen Arnold concluded that  “the GRANTA MI information management system is capable of handling the demands of integrating both virtual and experimental data”