International FAIM Conference 24th : 2014 : San Antonio, TexasUniversity of Texas at San Antonio. Center for Advanced Manufacturing and Lean SystemsMoore, BarryNabhani, FarhadAskari, VahidMcMenamim, Desmond2022-07-112022-07-112014http://dx.doi.org/10.14809/faim.2014.0649https://hdl.handle.net/20.500.12588/1001Paper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San AntonioIncludes bibliographical referencesThis report represents the first stage of producing a new CFD model capable of calculating paint deposition rate in a robot spray gun for a range of input variables. This will be achieved by analysing the sensitivity of the atomisation and deposition process to each of the major controllable inputs to the system. This report accurately measures the viscosity of several high solid solvent based paints across a range of temperatures and shear rates occurring in industrial spraying processes. Based on a number of practical experiments, statistical regression is used to determine paint viscosity as a function of temperature and applied rate of shear. Results will be used to inform the next stage of computer modelling using measured accurate values for spray paint rheology to better predict spray paint deposition and final film thickness.en-USSpray painting--Computer simulationPaint--ViscosityAutomobiles--Painting--Computer simulationPainting, IndustrialArticle