About this event
Additive Manufacturing AM is an attractive procedure for many metals, including Ni-based superalloys. Mechanical characterization of these materials is challenging, due to anisotropy and the cumbersome nature of existing testing methods. Professor Roger Reed and Dr. Yuanbo Tang will review recent advances at The University of Oxford on the production and characterization of such materials.
Professor Bill Clyne and Dr. Jimmy Campbell will demonstrate a new method, Profilometry-based Indentation Plastometry (PIP) that is ideally suited to characterizing these materials. Stress-strain curves are obtained via iterative FEM simulation of the indentation process, converging on optimal plasticity parameter values. It will be shown that, for isotropic materials, indentation data can be generated and processed in less than 3 minutes on the PLX bench-top PIP device, to obtain tensile (nominal) stress-strain plots that agree closely with conventional uniaxial testing.
For anisotropic materials, PIP reveals the presence and nature of anisotropy, but quantitative predictions are more complex
Hosted by
Experienced materials scientist, numerical modeler, and entrepreneur.
As Chief Technology Officer I have developed numerical methods for rapid extraction of mechanical properties from indentation data. These are deployed in our method to extract stress-strain curves from an indentation test, which is called Profilometry based Indentation Plastometry (PIP).
My research is focused on high-temperature materials and nickel-based superalloys for use in jet engines, deformation mechanisms, and quantitatively studying process modelling for welding and forging.
After a long career in academia, mainly in Cambridge University, I've moved into the commercial world as CSO at Plastometrex. This is a startup based in Cambridge, exploiting research in the Materials Science area that was carried out in my research group over the past couple of decades.
I'm a researcher working on additive manufacturing of the next generation nickel-based superalloys
Plastometrex is combining materials science, advanced numerical modelling, optimisation methods, and machine learning tools to create new generation materials testing solutions.