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Energy & Nuclear

	In this section: Overview Critical issues   How Granta helps   Who Granta helps Customer list & reports: Energy & nuclear customers Relevant products: GRANTA MI Aerospace & energy data CES Selector Relevant solutions:  Accessing reference info  Materials data management  Materials strategy  Materials support for PLM

Highlights

• GRANTA MI is developed in collaboration with top enterprises in energy, nuclear, and related industries
  
  
• Improve quality and efficiency and reduce risk in your engineering process
  
  
• Empower your materials scientists and engineers by dramatically improving the capture, analysis, and deployment of critical data
  
  
• Combine internal test, QA, and design data with external references

Latest: GRANTA MI 2.0. See, particularly, new data management features that help organizations with highly-regulated or safety-critical data. Plus enhanced ASME data.

Introduction

Materials, and the information that describes their properties and processing, are vital to enterprises involved in energy generation and nuclear engineering.

The materials challenges for nuclear applications, whether for power generation or defense, are similar to those faced in aerospace. Organizations need to make the best use of alloys, composites, and ceramics under extreme conditions. Safety, quality, and accountability are paramount. These demand rigor in managing and using materials information - for example, ensuring that data used in design decisions can be traced to its source. Such requirements are met by our GRANTA MI materials information management software, developed in collaboration with the Material Data Management Consortium - a group of leading aerospace, defense, and energy organizations.

Other energy applications, including conventional power generation, innovative technology such as fuel cells, or exploitation of renewable resources, require careful management of materials test data and application of all available information - whether in-house data or from Granta's reference data products - in order to optimize materials usage. Examples include selecting the right materials for a new application and substituting materials to reduce cost or meet environmental impact requirements.

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