Experimental and numerical study on the thermoforming process of amorphous thermoplastic polymers
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Olcay Ekşi
Abstract
Thickness distribution has an important impact on the quality of thermoformed products. It has significant effects not only on durability but also on the oxygen and gas transmission rate of thermoformed packaging products. In this study, acrylonitrile butadiene styrene and polystyrene sheets were thermoformed using a lab scale thermoforming machine. Three different mold shapes were considered: conical, spherical and cylindrical. The thickness distribution of thermoformed acrylonitrile butadiene styrene and polystyrene samples for each mold was investigated based on geometric element analysis (GEA) and finite element analysis (FEA). Finite element analysis yielded more accurate results than geometric element analysis. Process parameters such as temperature distribution on the sheets before molding, have a crucial effect on thickness distribution for all configurations.
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Articles in the same Issue
- Fachbeiträge/Technical Contributions
- Thermal-fatigue resistant work rolls for hot rolling mills
- Investigation of fused deposition modeling processing parameters of 3D PLA specimens by an experimental design methodology
- Strength and hardness of post-weld heat-treated thick section 7075 Al alloy friction stir welds
- Experimental and numerical study on the thermoforming process of amorphous thermoplastic polymers
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- Stiffness degradation of GFRP pipes under fatigue loading
- Effect of heat treatment on the wear behavior of GX200Cr13Ni6WMoMn
- Influence of natural aging on the mechanical properties of high pressure die casting (HPDC) EN AC 46000-AlSi9Cu3(Fe) Al alloy
- Effect of rolling temperature on the microstructure and mechanical properties of 6201 Al alloy
- Performance test to evaluate the corrosion resistance of stainless steel in concrete
- Effect of support plates on the micro-drilled hole form quality in CFRP laminates
- Uncertainty analysis of milling parameters using Monte Carlo simulation, the Taguchi optimization method and data-driven modeling
- Strengthening of reinforced concrete buildings with soft story irregularity
- Determination of the hardening depth by using inversely determined micro-magnetic characteristics