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Materials Support for PLM

(View/print a PDF overview, 397 Kb) Highlights Ensure the validity and quality of the critical materials data used in your product design process and in materials business decisions Provide access to corporate materials knowledge throughout your PLM community, in a controlled and secure manner Enable your designers and analysts to get the materials property data they require quickly, easily, and without needing to interrupt their workflows

In this section     Introduction   Critical issues   The Granta solution   Customers & case studies   Why Granta?       Relevant products       GRANTA MI   CES Selector   Reference data

FEATURE: Granta for engineering design...

NEWS: GRANTA MI 2.0 provides Abaqus plug-in

Introduction

Engineering organizations gain significant returns from making and implementing better decisions in design and in their use of materials. Granta’s materials data management and materials strategy solutions help you to achieve these returns by ensuring that the correct materials information is always available to inform and support these decision.

But making this information available is not enough. It needs to be deployed to designers and decision-makers where they need it, when they need it, and in the format that they need it. Specifically, these engineers and managers want access within their familiar engineering or business systems - for example, FEA/CAE, CAD, CFD, PDM, or ERP. Such access not only helps to deploy materials information more widely, it can also improve the return from your investment in product lifecycle management (PLM) tools themselves. How?

Almost every engineering organization today - from aerospace to automotive, from washing machine manufacturers to medical device makers – performs virtual product development, for example, using CAD technology for product design and solid modeling, or FEA/CAE software for product performance simulation.  These systems require materials property data as one of their primary inputs, and using incorrect, outdated, or inconsistent data can invalidate their results - often without the knowledge of their users.

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