In additive manufacturing (AM), post-processing steps are just as crucial to the success of the final product as the build itself. That’s why both the build process and the post process need to be taken into account in models that predict AM part performance.
A new performance prediction tool for AM-built parts has been developed by the Additive Manufacturing Consortium (operated by EWI). This work is described in a paper by EWI associates Alex Kitt, Luke Mohr, and Arushi Dhakad, Predicting AM Part Performance. Discussion covers work done on titanium alloys and proposes further work to apply the model to other metal alloys and post-build processes.
You are invited to download this paper now – at no charge – by submitting the form on this page.
If you want to learn more about this work or are interested in participating in subsequent studies on the topic, contact Alex Kitt, Director of Data Science, at [email protected].
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