Reaction sintering as a high-throughput approach for magnetic materials development

2018 ◽  
Vol 146 ◽  
pp. 355-361 ◽  
Author(s):  
Dagmar Goll ◽  
Ralf Loeffler ◽  
Dominic Hohs ◽  
Gerhard Schneider
2019 ◽  
Vol 8 (4) ◽  
pp. 22 ◽  
Author(s):  
Matthias Steinbacher ◽  
Gabriela Alexe ◽  
Michael Baune ◽  
Ilya Bobrov ◽  
Ingmar Bösing ◽  
...  

The development of novel structural materials with increasing mechanical requirements is a very resource-intense process if conventional methods are used. While there are high-throughput methods for the development of functional materials, this is not the case for structural materials. Their mechanical properties are determined by their microstructure, so that increased sample volumes are needed. Furthermore, new short-time characterization techniques are required for individual samples which do not necessarily measure the desired material properties, but descriptors which can later be mapped on material properties. While universal micro-hardness testing is being commonly used, it is limited in its capability to measure sample volumes which contain a characteristic microstructure. We propose to use alternative and fast deformation techniques for spherical micro-samples in combination with classical characterization techniques such as XRD, DSC or micro magnetic methods, which deliver descriptors for the microstructural state.


2015 ◽  
Vol 792 ◽  
pp. 143-146 ◽  
Author(s):  
А.G. Garganeev ◽  
S.V. Leonov ◽  
D.F. Fedorov

The electrical and magnetic materials development, as well as the electrical machines principles of design, prepared the base for the research and new designs of high-performance disk-type electric machines development for use, for example, as a high-performance valve gearless electric drive part.


2012 ◽  
Vol 1425 ◽  
Author(s):  
James N. Cawse

ABSTRACTSuccessful experimental strategy in the high throughput world requires coordination of the statistical planning of the experimental program with the optimization of the workflow for efficient use of robotic workstation resources.


2018 ◽  
Vol 123 (8) ◽  
pp. 083904 ◽  
Author(s):  
S. Arapan ◽  
P. Nieves ◽  
S. Cuesta-López

Sign in / Sign up

Export Citation Format

Share Document