|About this Abstract
||NUMIFORM 2019: The 13th International Conference on Numerical Methods in Industrial Forming Processes
||S-07: Computational Modelling of Scaled Processes and Experiments
||Finite Similitude in Dynamic Powder Compaction
||Keith Davey, Ali Golbaf, Anees Al-Tamimi, Nasir Namazi, Rooholamin Darvizeh
|On-Site Speaker (Planned)
Scaled experimentation provides an attractive and affordable alternative to full-scaled experimentation. The difficulty with scaling however is that it is recognised to change the physical behaviour of the process being tested and consequently interpretation of results from a scaled experiment is not straightforward.
This paper is concerned with the examination of a new scaling theory termed “finite similitude”, which is founded on the distortion of space, for dynamic powder compaction processes. Dynamic processes are known to be particularly challenging to scaling as similarity seldom exists and inertial and strain-rates effects dominate. Presented in the paper is a method for scaling powder compaction, which is underpinned by isotropic finite similitude but takes into account different powder properties. These include changes in density, yield stress, strain hardening, strain rate and thermal softening.
In order to investigate the effectiveness of the new approach, numerical results are obtained for discrete models, where the behaviour of randomly distributed particles is considered to be elastoplastic. Strain hardening, strain rate and thermal softening effects are incorporated using the Johnson-Cook constitutive equation. It is demonstrated in the paper how finite similitude can provide a substantial reduction in computational cost by adopting scaled models with a reduced number of powder particles but having identical dimensions as those used for the full-scale process.