The grid below highlights some of the projects and topics for which Newton partner country researchers are currently seeking a UK collaborator or UK host institution. It is possible to sort entries alphabetically by "Research area", "Partner country", "Partner institution", and "Call". To request further information about any of the projects and their lead applicants, please contact us at email@example.com specifying which project you are interested in and we will provide you with further details.
Selective Laser Melting, Finite Element Simulation, Damage Mechanics,
Additive manufacturing, especially the laser powder bed fusion
process, has gained rapid interest over the last decade thanks to its
ability to manufacture complex components which are not possible or
difficult to produce with convectional manufacturing methods. This
technology has provided the opportunity for engineers and researchers
to design and develop high-value components for many industries such
as automotive, medical, and aviation.
However, there are still many fundamental problems which hinder the
wider adoption of this technology. For example, the relationship
between process parameters, microstructure, and mechanical
properties are not fully understood.
Even though performing experiments can improve our understanding, they are mostly resource consuming and slow. Therefore, computational modeling has
become a vital tool in revealing the influence of process parameters on a part’s quality. Currently, many institutions have developed a physics based computational platform for the AM process. Due to the
difficulty and multiscaling nature of the problem, there are still
opportunities for further improvement.
Thus, the primary interest of this project is to develop a multiscale
computational platform which can examine the effect of process
parameters and accurately predict as-built part’s quality by considering
thermal histories, defects, microstructures, and geometrical features at
part’s level. The ultimate goal of this project is to have the numerical
platform which can perform the virtual manufacturing that can improve
our understanding of this technology and accelerate the adoption of
this technology among industries.