GRANTA MI:Additive Manufacturing Package Are you seeking to achieve the full potential of Additive Manufacturing? With the GRANTA MI:Additive Manufacturing™ Package, you can capture the right information from your AM projects and analyze it for insight that helps get solutions to market faster. Improve understanding of critical property / process relationships. Future-proof your AM research and development, for example, by ensuring that you are prepared for product or part qualification. Ensure traceability and future-proof your AM projects Capture the full picture: any test type for powders, materials, and parts Consolidate, control, and share AM data across your organization Understand your process parameters and the effect on part performance The problem Additive manufacturing promises to transform manufacturing, but only if we understand process parameters and their effect on materials, so that we can control part performance, consistency, and quality. A pre-requisite is a strategy to capture, and then mine, material and process information in order to gain this understanding. Progress depends on having the right strategy to meet the challenges of scale-up and implementation, and to maximize return on investment. AM programs generate vast amounts of data on material properties, process parameters, test data, simulation, and qualification of parts. This raises many questions—what data should we retain, how should we use it, and what is best practice? How do we audit our processes? How do we know which parameters or relationships are critical? How can we avoid significant investment into parts that will not get certified, or having to repeat work for certification purposes? How do we choose from the hundreds of industrial AM machines and materials? Read in machine data, including from Renishaw (pictured), EOS, Arcam, and SLM Solution (image courtesy of Renishaw plc). GRANTA MI:Additive Manufacturing can help you to answer these questions.

Sharing industry best practice The MI:Additive Manufacturing Package has been developed based on experience gained from Granta's participation in several leading AM projects. For example, the AMAZE project involves 28 corporations and research institutions in developing rapid production of large defect-free AM metallic components. Granta captures and securely shares project data. This enables: data comparison, better production knowledge, process refinement, simulation integration, and R&D coordination. What do you buy? Core database system: MI:Server, MI:Toolbox Data structures and tools: MI:Additive...