Powder Compaction is a manufacturing technology which is used to mold granular particles to solid materials. Powder compaction is widely used by pharmaceutical companies to manufacture tablets with desired properties. It is imperative to understand the mechanics underneath the constituent granular particles that eventually contribute to properties of the manufactured tablets because properties of the final products are results of the microstructures that evolve during compaction process. Computational tools have been developed in the past to study powder compaction. However, most techniques use Discrete Element Method for study of particle mechanics and classical Hertz’s contact mechanics, which make simulation study computationally challenging and inaccurate respectively. In our study, we use static based algorithm to place binary mixture of particles inside die. We have also included nonlocal approach of contact mechanics to accurately predict interactions between particles. This approach makes our method computationally more efficient and precise. Inclusion of binary mixture of particles of different sizes in the computational tool allows users to study relationship of particles’ mechanical properties on their microstructure evolution during compaction process. Users can also precisely validate experimental results for powder compaction of binary mixtures of particles from those obtained from simulation tool.
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Purdue University, West Lafayette, IN
- undergraduate research