Our very own Stephen Warde has been interviewed for the blog of one of the major providers of CAD/PLM software. Speaking to PTC, Steve highlights the difficulties faced by design engineers and the impact materials have on the ultimate cost and performance of a product.
The rapid development of Additive Manufacturing (AM) technology displays signs of immense promise for making topologically-optimized parts with optimal cost and performance. But with great power comes great challenges! Engineers require an understanding of the complex interactions and relationship between part design, materials, production processes and part performance. Designing the ‘ideal’ geometry can also prove to be a significant challenge. One secret is that succeeding in the real world of AM production requires you to do the right things in the virtual world—in how you simulate AM processes and handle AM data.
Simulation engineers are often desperate for sophisticated material properties to support their temperature dependent and/or non-linear material models, enabling more accurate simulation and validation of product performance.
If you are in the ‘material authority’ role in your company, either as a materials specialist or a member of the simulation team who has acquired this responsibility, you will need to respond! I’ve worked with many people in this role who are dedicating a lot of time to queries from design and simulation engineers about how materials will perform under various conditions, or which is the best material to use in certain operating conditions and environments.
I recently presented at a web seminar hosted by Granta’s partners at Dassault Systèmes, and it raised an interesting question about the materials property data needed by simulation analysts. We were looking, in particular, at the Abaqus/CAE® software. Its users want accurate material properties for use in their CAE software. But they also want confidence in that data – to know that it comes from a reliable source. And their companies want control: i.e., to ensure that all of their analysts are using data that is consistent, up-to-date, and traceable should simulation results ever need to be reviewed or updated. How can we meet these various requirements without disrupting well-established workflows and processes?