The management of materials information is just one piece of the ‘materials intelligence’ puzzle. Discover how to reduce design cycles, minimize risk, improve product quality, aid compliance, and much more, by taking these five steps to increasing your Materials IQ.
Can users of today’s advanced simulation methods for Automotive still learn from sentiments expressed 150 years ago?
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.
Together with the Altair Partner Alliance, all of us at Granta are excited to announce that our powerful material selection tool, CES Selector, is now available for use by HyperWorks customers. It almost goes without saying that CES Selector is the industry standard tool for materials selection and graphical analysis of material properties. It is used to innovate and evolve products, quickly identify solutions to materials issues, confirm and validate material choices, and reduce material and development costs.
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.
Considerable investments are made in AM Research & Development to make high performance parts, research designs and materials, and optimize production processes. One of the central aims of this R&D is reducing the variability of processes and producing unique parts ‘right first time’, leaving no room for error. Progress in this area 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: material properties, process parameters, test data, simulation results, and on qualification of parts. How can we make best use of this data? And how can we best leverage process simulations, ensuring traceability for both virtual and test data?
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?