Professor Stephen H. Carr, Northwestern University, US, provides one example of the use of CES EduPack, “CES EduPack is used extensively at Northwestern from undergraduate service courses to professional masters programs. It engages students and supports rigorous decisions among a large array of possible materials.

  • Product life cycle cost analysis: State of the art review
  • In GRANTA EduPack they are interactive and enable you to find out more about a property or material
  • NetComposites Granta Design CES EduPack 2021 Helps Prepare Engineering Students for Industry Comments Feed
  • CES EduPack 2021 Getting Started Guide
  • Book: CES EduPack 2009 Durability Science Notes
  • How popular is the CES EduPack software and how to download it
  • We disclaim all liability from the use of any information associated with Edupack
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Materials Education using Ansys GRANTA EduPack

There are a lot of materials, and each has a lot of properties. We need a good way to display and compare them. A useful method of doing this is by plotting them as Material Property Charts, sometimes called ‘bubble’ or ‘Ashby’ charts, with one property on one axis and another property on the other. Each material has a range of values for each property, depending on the exact composition, grade, heat treatment, supplier etc.

The data on the charts are approximate: they typify each class of material (stainless steels, or polyethylenes, for instance), but within each class, there is considerable variation. They are adequate for the broad comparisons required for conceptual design, and, often, for the rough calculations of embodiment design. THEY ARE NOT APPROPRIATE FOR DETAILED DESIGN CALCULATIONS. Every effort has been made to ensure the accuracy of the data shown on the charts. No guarantee can, however, be given that the data are error-free, or that new data may not supersede those given here. The charts are an aid to creative thinking, not a source of numerical data for precise analysis.

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In an attempt to improve the design of products and reduce design changes, cost, and time to market, concurrent engineering or life cycle engineering has emerged as an effective approach to addressing these issues in today's competitive global market. As over 70% of the total life cycle cost of a product is committed at the early design stage, designers are in a position to substantially reduce the life cycle cost of the products they design, by giving due consideration to life cycle cost implications of their design decisions. Increasing recognition of cost competition has spurred the development of methodologies such as design for manufacturability, design for assembly (DFA), design for producibility, design for maintainability and design for quality, in the design for 'X' realm. Although these methodologies have for the most part proven successful in reducing cost, the design evaluation criterion in most of these methodologies is not cost. Therefore methodologies and tools are needed to directly provide cost information to designers. Life Cycle Cost (LCC) analysis provides a framework for specifying the estimated total incremental cost of developing, producing, using, and retiring a particular item. This paper looks at the issues of LCC analysis and the tools that have been developed to provide engineers with cost information to guide them in design.

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