Materials Science and Technology (MS&T)

Columbus, OH, USA

October 4-8, 2015

Event Website 

Granta is speaking and exhibitng at this event.

Booth number: 512


A spin-out from the University of Cambridge, Granta helps hundreds of engineering enterprises to manage information on the materials (metals, plastics, composites, and more) that are essential to their businesses. We help them to develop and apply material intelligence, making better materials decisions, saving time and money, and reducing risk as they optimize their products. We also provide supporting resources to thousands of university educators worldwide as they teach the next generation of engineers, scientists, and industrial designers about materials, processes, and sustainability. Visit our booth to find out more.

Presentation One

Experiences with Materials Information Management Systems For ICME: Automated Analysis of Materials Using Micromechanics to Iterate Materials Properties within Known Boundaries

Will Marsden, Deborah Mies

Data and Tools for Materials Discovery and Design: Discovery and Design Infrastructure
Monday, October 5 - 3:20pm

Greater Columbus Convention Center, Room D246

This paper will draw on the findings of the Material Data Management Consortium (MDMC). The Consortium enables leading engineering enterprises (including Boeing, Honeywell, Lockheed Martin, and NASA) to collaborate on best practice approaches to managing critical materials data, with a recent focus on providing additional tools and traceable workflows for simulation and multi-scale modeling in ICME. A key emphasis has been on smoothing the transition between the test data generated by materials and process groups and its application (and re-application) in simulation tools and virtual product development systems. An example of an integration using MAC/GMC from NASA Glenn Research Center and a materials information management system which allows for the fully automated generation of predicted materials data will be presented along with reference to the role of real and virtual data within the “Materials Data Laboratory™” and “Structural Materials Data Project” of ASM’s “Computational Materials Data Network”.

Presentation Two

Application of Systematic Computational Methods to Additive Manufacturing Process Optimization

Deborah Mies

Additive Manufactruing of Metals: Microstrucutre, Materials Properties, and Product Performance: Characterization and Optimization of AM Products
Thursday, October 8 - 8:40am

Greater Columbus Convention Center, Room C112

This paper reports on the outcome of significant large-scale projects in which Granta has participated that drive standardization of additive manufacturing processes needed to address the challenges of producing reliable, high integrity, defect-free complex metallic parts, while achieving goals to lower cost relative to standard manufacturing methods. The impact of varying energy sources, beam width and flux, raw materials and particle size distributions, and machining practices were investigated and validated using systematic data collection integrated with computational methods developed by project collaborators and the University of Cambridge. A key success factor was the flexible data structure of the underlying engineering platform used to manage the complex simulation inputs, outputs, and in-process image capture - along with results of computational methods. The effectiveness of enabling an informed choice of build parameters derived from systematic methods to the additive manufacturing process in shortening production development time and lowering part failures is discussed.

More information

More information on Granta's support for Industry 

More information on how Granta works with the Materials Education community