Print Email Facebook Twitter The application of hybrid Computational Fluid Dynamics to optimize the air curtain of a refrigerated display cabinet Title The application of hybrid Computational Fluid Dynamics to optimize the air curtain of a refrigerated display cabinet Author Milano, Luca (TU Delft Mechanical, Maritime and Materials Engineering) Contributor Delfos, R. (mentor) Pourquie, M.J.B.M. (mentor) Degree granting institution Delft University of Technology Programme Mechanical Engineering Date 2022-08-10 Abstract Conventionally, the geometry of the Fri-Jado open vertical refrigerated display cabinet design is optimized by drawing and producing the new components and testing the new configuration in a climate chamber, which is known to be an iterative process that consumes a large amount of time. To speed up the optimization process, the application of computational fluid dynamics (CFD) was proposed. For this thesis, a case study was performed on a specific Fri-Jado cabinet that required many iterations for optimizing the geometry, using the commercial Simscale CFD package. In addition, experimental tests were performed on the Fri-Jado cabinet to compare with the simulation results.During the experimental testing and literature review, it was found that the entrainment of ambient air was the main component of the heat load for the cabinet. By designing and validating a simplified 2D k-ω SST simulation of the air curtain and external environment, an optimization study was performed. In this optimization study, it was found that for an offset angle of 10° and throw angle of 25° in combination with a stepped velocity profile, minimal thermal and mass entrainment ratios were reached. Subject Computational Fluid Dynamics (CFD)Air curtain To reference this document use: http://resolver.tudelft.nl/uuid:4654c395-ded1-4654-a2fb-1b4681c71697 Part of collection Student theses Document type master thesis Rights © 2022 Luca Milano Files PDF Thesis_Report_Luca_Milano_V5.pdf 5.83 MB Close viewer /islandora/object/uuid:4654c395-ded1-4654-a2fb-1b4681c71697/datastream/OBJ/view