As any simulation analyst can tell you, quality materials and property data is essential for modeling and simulation within product design. However, this information often exists in many different formats and locations throughout an organization. For authors of data, generating the right materials information for simulation (usually by analyzing populations of materials test data) can be time consuming, the process can be inefficient, and it’s certainly always complex. Moreover, the final data that’s produced out of this process is not always then traceable to its source.
On the flip side, consumers of that data can often spend precious time searching through different silos of data only to end up with inaccurate or inconsistent information. There may also exist significant gaps in that data, rendering it essentially unusable. Within this type of organizational landscape – and it is a common landscape – the best datasets don’t tend to be reused as the lack of context makes it incredibly difficult, if not impossible, to distinguish between them.
To read how to overcome these challenges, visit our full post on the LiveWorx blog.
Latest posts by Beth Harlen (see all)
- Is the future of materials science and AI intertwined? - 16th April 2018
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- Is your simulation data traceable to the source? - 8th January 2018