In this webinar experts from the National Institute for Aviation Research (NIAR) at Wichita State University joined Granta to present tools to help you implement rigorous, auditable composite qualification and equivalency processes. Granta showed the latest composite data management software and the new Composites QED reference data, containing unpublished data from NCAMP, which makes it easier to qualify composites and to establish equivalency.

Watch this webinar

Simply enter your details into this form, and you will be directed to the webinar recording. A link will also be sent to your email address.

Watch this webinar to:

  • See a demonstration of how to use the GRANTA MI software and the new Composites QED reference data to support composite Qualification, Equivalency and Design
  • Learn about the underlying qualification process and statistical analysis to generate design allowables, and software available to support your qualification workflow
  • Learn how you can manage all of your valuable test, analysis, and design data.

The Composites QED data module contains data for over 40 established composite materials systems used in the aerospace industry. It includes design data, materials pedigree, information on constituent materials (fiber reinforcements, polymer matrices, intermediates and laminates) and supporting test data, including over 7,500 new raw data curves from NCAMP testing, for up to four standard conditions. The data can be used on its own for access to design data and to support materials selection and screening, or in combination with proprietary data to support qualification processes, including generation of design allowables, proof of equivalency, and variability analysis. The data is provided within the GRANTA MI materials information management system, making it quick and easy to browse, query, and apply through a simple web browser user interface.

 

Who will benefit?

  • Materials specialists, engineers and designers who are involved in the generation of design allowables and proof of equivalency.

Presenters


Dr. Donna Dykeman is the Collaborative Program Manager at Granta Design, working primarily in the areas of composites, additive manufacturing, eco-design, built environment, and ICME. Prior to joining Granta, Donna spent 14 years in the field of polymer composites manufacturing, characterization, and durability in research settings (Universities of New Brunswick, British Columbia and Waterloo)


Dr. Sarah Egan has led projects at Granta Design that have developed a series of innovative knowledge resources for medical device materials and, more recently, for human biological materials. Dr Egan’s background in materials engineering for medical applications includes a PhD in Biomaterials from the University of Cambridge and an MEng in Materials Engineering in Medicine from Queen Mary College, University of London. As Medical Devices Product Manager at Granta she currently specializes in the compilation and application of materials data, the development and implementation of software for materials selection, and systems to enable materials information management in the medical device industry.


Royal Lovingfoss, NIAR, Director of NCAMP. Working under nondisclosure agreements, NIAR laboratories provide services to federal agencies, aviation industry clients and other manufacturing industry clients. Some of our clients include Airbus, Boeing, Beechcraft, Bombardier Learjet, Cessna, Dassault, Gulfstream, Honda Aircraft Company, Lockheed Martin, Spirit AeroSystems, the U.S. Department of Defense, the Federal Aviation Administration and NASA.


Dr. Beth Clarkson, NIAR, Statistician, is an ASQ (American Society for Quality)-certified statistician with a PhD in Statistics and over threedecades in the aviation and aerospace industry, helping manufacturing and service industries through theuse of quality improvement techniques, surveys, and statistical analysis of data.


Rachael Andrulonis, NIAR, Senior Research Engineer/CMH-17 Secretariat. Specialties: Composite materials, statistical analysis of material properties, databases.