Confined high-load compression of particle beds is being applied in a wide range of fields, among others are nuclear fuel preparation, nuclear waste treatment, powder metallurgy, food industry, pharmaceutical industry, manufacture of porous ceramics. In most of these applications, variables such as anisotropic characteristics of compacts regarding their mechanical strength, density distributions, porosity, internal surface areas and others play important roles whether the compact is by itself the end product of the manufacturing process or whether it should undergo additional modifications, such as sintering in the cases of ceramics manufacture, or cold compacts in powder metallurgy, or coating in food and pharmaceutical industries.
Although high-load compaction has been around for a while - pharmaceutical tablets, for example, have been produced in large quantities since the 1870s - there is a need for better understanding of the mechanistic principles that give birth to the different aspects of intra-compact inhomogeneities, mentioned above, which may very well be rooted during the evolution of events taking place during powder compression. The aim of this project is to investigate these phenomena and their evolution.
Finite Element Method is often used to simulate confined compression of bulk powders but does not provide insight into the physics of the system at the particle level. We will attempt to establish a Distinct Element Method (DEM) formulation which will allow us to numerically reproduce both macroscopic characteristics of a compact as well as its internal micro-structure which can then be effectively studied.
I studied Management and Production engineering, well known as industrial engineering at Technical University of Crete (TUc). During my studies, I specialized in structural mechanics with the usage of finite element method (FEM) and computational homogenization framework (fe^2). Later, in order to grasp the mathematical base of finite elements techniques I did my second master in Applied mathematics, in the meantime I get familiarity with scientific parallel computation.