NAFEMS World Congress

Stockholm, Sweden

June 11-14, 2017

Event Website 

Granta is speaking and exhibiting at this event.

Granta Booth Number: 31

Granta Design, the materials information technology experts, provide a powerful materials information management system that allows enterprises to capture and manage all of their critical corporate materials data in a single place. For example, you can capture data from test machines and manage it alongside analyses and model parameters. Consolidate legacy, test, and simulation data for consistent material definitions and properties across disciplines, and instantly generate correctly formatted material cards.

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Granta Presentation

Granta Speaker: Najib Baig

Title: Delivering accurate process and materials simulation data for Additive Manufacturing

Session:
Materials Data & Methods
Room A
Monday, June 12, 14:30-14:50

Abstract:
Additive Manufacturing (‘AM’ or ‘3D printing’) is a new and rapidly-developing technology with huge promise for making topologically-optimized parts with optimal cost and performance. But scale-up and implementation create many challenges, requiring an understanding of complex interactions between part design, materials, production processes, and part performance.

Significant investments are made in R&D to make high performance parts, research designs and materials, and optimize production processes. Aims include reducing the variability of processes and producing unique parts ‘right first time’. Progress requires effective use of large quantities of specialist information. First, you must understand the fast-evolving landscape of machines and materials in order to set up a research or manufacturing project. These programs then generate huge amounts of data on material properties, process parameters, test data, simulation, and qualification of parts. How can we make best use of this data? More importantly, how can we ensure this information is being fed into our simulation software correctly?

Increasingly, these simulations are being used to understand the thermal history and distortion field, which plays a key role on the final component properties. These simulations require input from various sources of the AM process such as materials and process parameter information. Having a live link from simulation codes to a consolidated and centralized information source can play a key and essential role ensuring accurate simulations.

The backbone of such AM repository needs to be able to manage all of the complex AM data, convert that into simulation ready data and deliver that information where it is needed, i.e. the simulation codes. This paper will discuss this approach for ensuring a systematic management of AM and delivery of simulation data. Furthermore, as final simulation results need to be compared and calibrated to physical testing, a solution is proposed to meet this challenge.


Lawrence Livermore National Laboratory Presentation

Speaker: Valerie Noble, Computations Directorate, Lawrence Livermore National Laboratory

Title: Use of COTS Products to Enable Cross-Organization Sharing of Material Models and Material Databases

Session:
Engineering Sciences Workflow Developments in the Government Sector
Room K
Sunday, June 11, 15:30-18:00

Abstract:
Design and analysis teams at LLNL are becoming more tightly integrated across disciplines, with engineers performing calculations that would have historically been performed by physicists and vice versa. With this shift, it is becoming increasingly important to enable sharing of material models and material databases across organizations. In addition, the evolution of advanced manufacturing is driving the need to share material databases not only across organizations, but across sites as well. LLNL is working to create a central repository where both physicists and engineers can obtain pedigreed material and geometric data. COTS products, such as Granta MI, are being more broadly adopted and can assist in lowering the barrier for everyone to obtain the information and data they need in a common format. Furthermore, these tools can provide a common interface/GUI to get material input into different codes without the need for each finite element code to use the same input syntax. Our ultimate goal is a central repository for material data that stores experimental data as well as a method to output material input blocks into different finite element or physics codes and then link those material models to geometric data, whether it be contours or STL data. Such a repository is key to enabling exascale design that will involve coupling multiple simulation codes to perform complex design optimization or uncertainty quantification calculations with full provenance and pedigree of inputs and results.