MaterialUniverse feedback: “You just showed in 5 minutes what took us 3 weeks of conventional analysis”
|What is it?||Engineering, economic, and environmental property profiles designed for like-to-like comparison across the spectrum of material and processing possibilities. Focuses on generic materials types. Avoids problems such as ‘holes in the data’.|
|What is in it?||3,500 records providing physical, cost, mechanical, thermal, electrical, optical, durability, environmental data on virtually all purchasable engineering materials, plus extensive data on 240 processes.|
|What is it used for?||Comparison, selection, and substitution of materials. Also acts as an index to the full Granta data library – find the right material type using MaterialUniverse, then dig into detailed data in specialist datasets.|
|Where does it come from?||Compiled and maintained by Granta – sources for data are provided on datasheets.|
|How do I get it?||With GRANTA Selector or GRANTA MI.|
Who is using MaterialUniverse?
- Design and research engineers find the data ideal for analysis of material and process options at the conceptual and redesign stages of product development
- Materials specialists research material and processing options outside their areas of specialist expertise and support in-house or external consulting
- Materials developers use the data to map the world of existing materials, assess the prospects of new materials, and to communicate the benefits of these materials to customers and colleagues.
What’s in a datasheet?
Each record includes property attributes in each of the following categories:
- General – tradenames, price, density…
- Composition – % composition, base material, filler…
- Mechanical properties
- Impact properties
- Thermal properties
- Processing properties
- Electrical properties
- Optical properties
- Absorption, permeability
- Geo-economic data
- Eco properties
- Application information
Secrets of the MaterialUniverse
MaterialUniverse is data that you won’t find elsewhere. Its designed for like-to-like comparisons across the whole spectrum of material and processing possibilities. Typical material data sources do not allow this – the most common reason being ‘holes in the data’ and the fact that different properties are reported for different materials. MaterialUniverse solves the problem by conforming to strict design principles.
- Represent the full spectrum. MaterialUniverse contains or has a representative of virtually every commercial engineering material in every class. You can be sure that you have considered all material possibilities.
- Each material is represented only once. Multiple instances of the same material from different producers are consolidated into one representative record, reducing complexity.
- Property ranges. Properties of real materials are seldom exact; they vary from batch-to-batch and manufacturer-to-manufacturer. MaterialUniverse captures these variations as a range (which may be small for a property such as density, but relatively large for strength or toughness).
- Complete property set. There is a value for every property on the datasheet. If the value is not known experimentally, it is estimated using techniques developed by Professor Mike Ashby and his team, applying well-established correlations between material properties based on their fundamental physics.
- Quality checks. Granta has examined hundreds of material datasets over the years and without exception they contain errors—sometimes as much as 1000%! To minimize errors, the same correlations between properties are used to check that properties for specific material classes fall within acceptable ranges.
- Normalization. All properties are presented in the same unit system of choice. Properties that are subtly different in different materials classes are equivalenced to enable comparison.
- Hierarchy. A sensible hierarchy allows ‘expansion’ into more detailed properties in specialist materials areas.
Applying these principles requires a great amount of work in data collection and processing. The MaterialUniverse data module represents many dozens of person-years of effort, stretching back to work at the University of Cambridge before Granta was founded in 1994. Today it is maintained by our active, expert Data Products Team.