Modeling and Simulation of Non-Isothermal Gas-Assisted Injection Molding for viscous Newtonian fluids
MetadataShow full item record
Series/Report no.:2016 Richard J. and Martha D. Denman Undergraduate Research Forum. 21st
Gas-assisted injection molding (GAIM) process is the injection of a molten polymer resin into a cooled mold cavity followed by the injection of pressurized gas into the resin to fill out the mold cavity and form hollow pockets in the resin. Current gas-assisted injection molding simulations do not accurately predict hydrodynamic coating thickness due to the frozen layer created by the polymer melt in non-isothermal systems. The proposed models are a hybrid control-volume finite element/finite-difference method to obtain a numerical simulation of gas-assisted injection molding for non-isothermal systems, at high capillary numbers, for Newtonian and non-Newtonian fluids. The selected viscous Newtonian fluids exhibited viscosities with high and low temperature dependencies. The non-Newtonian fluids that were selected had shear thinning viscosities that could be modeled using the power law. Previous studies employed a number of assumptions in order to simplify the simulation model, however, those assumptions contributed to a significant error in predicting the coating thickness. The proposed Newtonian model was compared with experimental data and the results confirmed that the simulation was reliable for predicting maximum fractional coverage and delay time at which maximum fractional coverage occurred. On average the model has a maximum deviation of 4% in the hydrodynamic coating thickness and 15% in the predicted delay time. Additionally, the effects of tube diameter, temperature difference between the polymer melt and cooling fluid, and the heat transfer coefficient, on fractional coverage were isolated and master curves were developed over a large range of operating conditions using dimensionless variables. Due to the lack of experimental data, the non-Newtonian model was compared to previous simulations done by other researchers. Compared to existing simulation models, the recommended models are simpler and require less computing power without compromising their accuracy, thus, functioning as an alternative approach to gas-assisted injection molding simulations. Accurately predicting hydrodynamic coating thickness has a number of industry applications, specifically in decreasing production costs and improving product quality.
Engineering: 4th Place, Honorable Mention (The Ohio State University Denman Undergraduate Research Forum)
Academic Major: Chemical Engineering
Undergraduate Research Scholarship Fund
A three-year embargo was granted for this item.
Items in Knowledge Bank are protected by copyright, with all rights reserved, unless otherwise indicated.