Additive Manufacturing – the Senvol Database
|What is it?||The first and most comprehensive database of Additive Manufacturing (AM) machines and materials.|
|What is in it?||Information on 1,000 AM machines and more than 850 compatible materials.|
|What is it used for?||Search and compare materials, identify and compare machines, and focus on the most likely routes to achieve project goals as you research AM options.|
|Where does it come from?||The information is published by Senvol.|
|How do I get it?||In CES Selector, linked to MaterialUniverse to enable rapid material and process selection. Or via GRANTA MI for enterprise access.|
The Senvol Database™, the first and most comprehensive database of Additive Manufacturing (AM) machines and materials, is available through Granta materials software.
There are hundreds of industrial AM machines and materials. New products come to market weekly. Picking the best option for a manufacturing or research project is a tough call and a wrong direction can be costly. The Senvol Database™ details 1,000 AM machines and more than 850 compatible materials. Within Granta software, you can search and compare materials based on properties, type, or compatible machines. Identify and compare machines based on supported processes, manufacturer, required part size, cost, or compatible materials (and their properties). Quickly focus on the most likely routes to achieve project goals, save time and get new ideas as you research AM options.
What is included?
Details of 1,000 AM machines:
- Price range
- Compatible material types
- Build envelope size
Details of more than 850 compatible materials:
- Information on material type and similar materials
- Material properties of AM materials
- Effect of machine configuration and post-processing
- Compatible machines
- Machine specifications (size, weight, voltage etc.)
A representative sample of Granta MaterialUniverse data is also included in the database, enabling rapid comparison between AM and conventional technologies.
Plotting data from the Senvol Database with CES Selector