The design of transfer chutes in bulk material handling, remains a critical area of research due to its significant impact on both operational efficiency and safety in minerals mining and processing. While tools such as Discrete Element Method (DEM) modelling paired with flow properties testing have been proven effective, they also have inherent limitations. DEM modelling can be computationally intensive and struggle with long processing times when simulating large numbers of particles or complex geometries, particularly for high-throughput systems handling iron ores. In such cases, or when simulation outcomes require validation, dynamic physical modelling may be necessary to bridge the gap. Dynamic scale modelling is a technique that uses dimensional analysis and the Froude Number as the basis of scaling. This theoretical basis is applicable to cohesionless materials, but the requires empirical adjustments for modelling cohesive materials [1]. This study aims to explore the integration of physical scale modelling with DEM simulations to predict and analyse the flow behaviour of an iron ore material through a transfer chute. A surrogate material with comparable flow properties will be employed in a 1/10th scale model, calibrated using the Froude number to ensure dynamic fidelity between the actual system and scaled model. To validate this approach, flow property tests will be conducted for both the surrogate and actual iron ore materials, focusing on critical parameters such as particle size and distribution, and flow rate.