To develop a methodology for predictive dust explosion modeling, many considerations on the process-specific interdependencies and scales are required. As the size of the problem under investigation increases, the emphasis placed on the smaller spatial and temporal scales is generally reduced. This is true in both phenomenological and numerical modeling, and may lead to inaccuracies or misunderstanding of the hazards and risks involved. In the current work multi-scale homogenization is explored in which information determined from fundamental-level empirical testing and high-resolution numerical methods is fed forward to develop global models for larger scale systems. Under this framework, the specific problem of standardized closed-volume dust explosion testing is explored, and suggestions on advancement of the current state of knowledge are given.
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