The SPE Library contains thousands of papers, presentations, journal briefs and recorded webinars from the best minds in the Plastics Industry. Spanning almost two decades, this collection of published research and development work in polymer science and plastics technology is a wealth of knowledge and information for anyone involved in plastics.
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Isolating and Quantifying the Development of Shear vs. Pressure Generated Heat in the Plastic Melt during Injection Molding
Whether pressure or shearing of a material has a larger effect on its temperature rise through a typical injection molding cycle is a debated subject. Both of these factors may have a theoretical effect, but they have not been quantified. This experiment utilizes temperature and pressure sensing equipment with conventional injection molding to respond to this issue. From the data collected, both shear and pressure heating affects on the melt can be quantified and will be contrasted to that predicted by injection molding simulations.
Comparison of Drive Concepts on Injection Molding Machines under Production Conditions
The aim of our studies was to figure out the differences concerning energy consumption of several drive concepts for injection molding machines. During the comparison of the collectively 10 machines at 5 manufactures we focused on the energy needs of the drives as well as on the energy consumed by the complete production cell, including ancillary units. A correct evaluation is warranted by parallel accumulation of process- and product-parameters to characterize reproducibility.Respectively to the drives, our results show energy saving potential using electro mechanical concepts.
Integrated Numerical Simulation of Injection Molding Using True 3D Approach
The application of true 3D simulation in the injection molding is becoming popular in the recent years. However, a unified CAE analysis based on solid model for the predictions of molding and warpage of the injection-molded part is seldom reported in the literature due to the numerical and hardware limitations. In this paper, an integrated true 3D approach is developed to simulate the filling, packing and cooling stages in injection molding, as well as the part warpage after ejection. All the simulations can be carried out on the same solid model, in which both cavity and mold base are meshed with solid elements of different topologies. Thanks to the highly efficiency of the proposed methodology, a typical integrated 3D analysis of part with hundred thousand elements can usually be finished on a regular PC within one day. Several numerical examples are reported to indicate the success of the present model
Three-Dimensional Warpage Simulation for Injection Molding
Simulation of polymer injection molding processing traditionally employs a 2.5D shell finite element/finite difference solution. This form of analysis has served well for the analysis of thin walled components. However, these approximations are not suitable when the geometry has complex three-dimensional features which cannot be well approximated by 2.5D shells.True 3D flow and cooling simulation was developed several years ago. In this paper, we describe the extension of the true 3D simulation technique to warpage analysis for both unfilled and fiber filled materials. The warpage results from the simulation are presented and compared with the actual molding cases.
Three-Dimensional Insert Molding Simulation in Injection Molding
For the recent years, the insert molding in injection molding has been very popular. Insert molding is a more efficient technology to the assembly of discrete parts. It reduces the assembly and labor costs and increases the design flexibility. Its benefits are over the traditional method, such as soldering, connectors...etc. The different insert parts will cause different effect for injection molding process. The metal inserts are used to increase the performance of drawing heat from the cavity. However, the plastic insert reduce the cooling effects. This paper develops a numerical approach to simulating the mold insert molding in injection-molded part of complex geometry. This developed approach is proved from numerical experiments to be a cost-effective method for true 3D simulation in mold insert molding analysis.
Analysis of the Three Dimensional Mold-Filling Process in Injection Molding
For the three decades, the mold-filling of injection molding process was modeled as Hele-Shaw model. However, this model can not consider the 3D effect. In this paper, numerical simulations of three dimensional mold-filling during the filling phase were performed. The governing equations were discretized by segregated finite element method, which used equal order interpolation for pressure and velocity fields. The iterative linear equation solver (JCG) was employed for the solution of the momentum and pressure equations. Flow Analysis Network (FAN) was employed for the melt front advancement. To check the validity of the numerical results, the results were compared with the experimental ones. The agreements between the experiment and the numerical results were found to be satisfactory.
Two-Material Injection Molding Filling Simulation
Two-material injection molding is gaining popularity due to its potential to produce multifunctional plastic parts at reduced cost. It is postulated that the influence of the interface boundary on the flow pattern of the overmold is insignificant due to high filling rates normally encountered in two-material injection molding. In this paper, a simulation program is developed to study the effect of the interface boundary for the overmold filling process. The simulation uses the bulk temperature of the substrate at the end of packing as the overmold's boundary temperature on the contact surface. Comparison of results with conventional injection molding revealed that flow pattern and injection pressure are both affected by the different temperature boundary condition.
A Coupled Filling-Structural Simulation on a Water Manifold Injection Mold
An injection mold for a water manifold was experiencing deflection on an extremely long core, causing a high defect rate on the finished product. In addition, inserted small plastic capillaries were being crushed if the mold parameters were outside a narrow window. By taking the pressure output from a filling simulation and using it as the boundary condition for a stress analysis on the mold itself, excellent correlation was achieved with the existing molding problems. This led to insight into the true cause of the core deflection along with a successful redesign of the tool to produce consistent, quality parts.
Simulating the Melting Behavior and Melt Temperature Inhomogeneity in the Injection Molding Processes
In the injection molding process, one of the most important process conditions is the temperature and/or temperature distribution of the polymer melt. Since the melt temperature can be the guideline to predict the quality of the molded parts. The ability to better predict and control the polymer melt temperature will help to obtain better products. However, the problem is that the true polymer melt temperature is very difficult to determine and so an estimate is used for the mold filling and packing simulation, which can provide misleading results. Hence, to better predict the melting temperature, the simulation of the injection screw in the injection molding system has been added. This paper shows how the ability to simulate the melting behavior will provide improved simulation accuracy to the entire injection molding process and a better prediction of product quality.
Validation of Shrinkage Predictions for Injection Molded Parts
Shrinkage predictions from a commercial simulation package were compared with shrinkage of parts molded from neat and glass-filled grades of polycarbonate, poly(butylene terephthalate) (PBT), polyamide-6, and polyamide-6,6 various over a range of processing conditions. For both the neat and filled materials, the simulations overpredicted in-flow shrinkage and cross-flow shrinkage near the gate. Cross-flow shrinkage at the end of fill was underpredicted for glass-filled materials, did not correlate with values predicted for neat materials. The validation of shrinkage prediction for thin walled parts was also done using PC+PET blends.
The Warpage Simulation with In-Mold Constraint Effect in Injection Molding
This paper develops a new numerical approach to simulating the mold constraint phenomenon of warpage at the in-mold stage in injection-molded part of complex geometry and improves the accuracy of warpage analysis. Warpage in injection molding is the result of unequal volumetric shrinkage of material throughout the geometry of the piece as it cools from a melt to a solid state. Before the part is ejected, the deformation of warpage has been developed inside the mold. The influence of in-mold constraint for warpage is different according to the time of in-mold period. This in-mold constraint effect of warpage analysis technique is proved to improve the accuracy of warpage analysis for 3D/2.5D model. Several industrial cases with complex geometry are also studied to illustrate the capability of the proposed methodology.
Weld Lines Behaviour in Melt Blended and In-Situ Polymerised Nylon 6 Nanocomposites
Nylon 6 nanocomposites containing organically-modified montmorillonite made either by the melt blending or in-situ polymerised routes are investigated. Both nylon 6 nanocomposites are examined in X-ray diffraction and Transmission Electron Microscopy, to verify the level of intercalation / exfoliation of the organoclay layers in the nanocomposites. The materials are injected into tensile specimens either with single or double end-gated (with a weld line). Neat nylon 6 and single end-gated samples are used as a control, allowing comparison the performance of nylon 6 nanocomposites when weld line is present. The results show that the tensile strength and strain-to-failure of the neat nylon 6 exhibits little variation when comparing the single and double end-gated samples and thus no weld line behaviour is seen clearly. The melt blended nanocomposites show a greatly reduced in strain-to-failure for both single and double end-gated samples although the tensile modulus is increased significantly. In contrast, the in-situ polymerised nanocomposites show more ductile behaviour at single end-gated, compared to the double end-gated samples. Both nanocomposites show brittleness when the weld line is present. The fracture tensile surfaces are examined using Environmental Scanning Electron Microscopy and the results show that much larger micron-sized organoclay entities exist in the melt blended nanocomposites and that these, rather than nano-sized individual layers, cause the final behaviour. Whilst the dispersion is much finer for the in-situ polymerised than that of the melt blending nanocomposites.
Cell Development in Microcellular Injection Molded Polyamide-6 Nanocomposite and Neat Resin
The effects of nanoclay addition into polyamide-6 (PA-6) neat resin and processing parameters on cell density and size in microcellular injection molded components were investigated. The analyses were performed on the sprue section of standard ASTM D 638-02 tensile bars molded based on a fractional four factorial, three-level, L9 Taguchi design of experiments (DOE) with varying melt temperature, injection speed, super critical fluid (SCF) concentration, and shot size. It was found that the presence of nanoclay greatly reduced the cell size and increased the cell density when compared to neat resin processed under identical molding conditions. In addition, cell size distribution at the sprue center was, in general, the largest, gradually decreasing towards the skin for both neat resin and nanocomposite. Finally, in contrast to neat resin, in which shot size and injection speed were important to cell density and all molding parameters affected cell growth, the cell size and density for nanocomposite only depended strongly on shot size.
Core-Shell Rubber Modified Microcellular Polymide-6 Composite
This paper presents the effects of processing parameters and sub-micron core-shell rubber particle filler on the mechanical properties and cell morphology of microcellular injection molded polyamide-6 (PA-6) composites. Three types of materials were studied, namely, neat PA-6 resin, and 0.5% and 3.1% core-shell rubber polybutylacrylate-polymethylmethacrylate filled PA-6 composites. This study showed that the addition of a small amount (0.5%) of core-shell rubber particles improved the ductility and impact strength of microcellular injection molded PA-6 samples. In comparison to the microcellular injection molded PA-6 polymer-clay nanocomposite, the samples with a small amount (0.5%) of core-shell rubber had much higher impact strength and ductility. The small addition of core-shell rubber also reduced cell size and increased cell density of the microcellular injection molded PA-6 parts, in comparison to their neat resin counterparts. On the other hand, at higher core-shell rubber loading, the cell size and density were found to be similar to that of the neat resin.
Crystallization Behavior of Polyamide 6 Micocellular Nanocomposites
The crystallization behaviors of polyamide-6 and its nanocomposites undergoing the microcellular injection molding process were studied using Transmission Electron Microscopy (TEM), X-ray Diffractometer (XRD), Polarized Optical Microscopy (POM), and Differential Scanning Calorimetry (DSC). The relationships among the morphology, the mechanical property of the molded parts, and the crystallization behavior were investigated. With the addition of nanoclays in microcellular injection molded parts, the growth of ? form crystal is suppressed and the formation of ? form crystals is promoted. Both nanoclay and dissolved gas have big influence on PA-6 crystalline structures. The existence of nanoclay increases the crystallization rate. But with extra addition of nanoclays in the polymer matrix, the crystallization rate is reduced. Nanocomposites with proper amount of nanoclays posses the maximum crystallization activation energy and produce finer and denser microcell structure which leads to better mechanical properties.
The Investigation of Flow Behavior of Polymeric Melts in the Water Assisted Injection Molding
Water assisted injection molding (WAIM) is a pretty new way to fabricate hollow or more complicated parts. Basically, the process of WAIM is similar to gas assisted molding. If it is controlled correctly, WAIM can yield thinner, more uniform part walls. However, to obtain better products, a number of questions, regarding to the material properties and process conditions, need to be fully understood. In this study, the complex flow behavior of melts under the assistance of injected water is conducted by examining the coupling effects of the process conditions and the material properties numerically. Further, the verification is performed experimentally as well.
Fluid Assisted Polymer Processing in Extrusion and Injection Moulding: A Comparative Overview
A programme of research is described to compare gas, cryogenically cooled gas, water and super-critical carbon dioxide assisted polymer processing. Results indicate apparent reductions in melt viscosity are possible by adding super critical carbon dioxide. The issues associated with implementing water assisted injection moulding are highlighted. Reductions in residual wall thickness are possible in the gas assisted injection moulding process when cryogenically cooled gas is used over the conventional implementation.
A New Technique of Super Critical CO2-Asisted Surface Coating Injection Molding
A brand-new technique of injection molding using supercritical CO2 is proposed so as to modify the surface of the solidified plastic products. The principle of the CO2-asisted surface coating injection-molding techniques is described in this paper. The technique utilizes the plasticization effect of CO2 on polymer, solubility of low molecular substance in super critical CO2 and diffusion mechanism of CO2/low molecule mixture into the surface of injected polymer. To confirm the principles, experiments using dye pigment as a low molecular solute is conducted. The experimental results of CO2-asisted surface coating injection-molding techniques are given at the end.
Three-Dimensional Simulation of Transient Temperature Distribution for Lens Mold Embedded with Heaters
To avoid cost computation, the traditional simulation of mold temperature during the injection molding is usually conducted in a cycle-averaged approach plus one-dimensional transient variation. Boundary element method is frequent adopted as the major numerical scheme. In the present study, fully 3-D simulations of mold temperature variation based on both standard FEM in single CPU and VOF implemented in parallel computation scheme were executed for a lens mold embedded with heaters. Mold surface temperature distribution was measured by infrared thermal image system from which the temperature variations at interest locations can be obtained. Within steady state molding cycle, the predicted mold surface temperatures show a difference of 8° (cavity center), 6° (parting surface), and 18° (core cavity) after mold opening and part ejection. All simulations show quite precise predictions in accordance with experimental results.
A New Method for Simulation of Injection Molding
Simulation of injection molding originally used the so-called Hele-Shaw approximation in which the part is represented as a mesh of triangles, located at the midplane of the component, each of which has a defined thickness. The time required to create appropriate models for this type of analysis increased with the rapid acceptance of 3D solid geometry modeling. Several approaches to reduce the time to create a model have been introduced and include automatic midplane determination, dual domain finite element analysis (2.5D) and true 3D analysis. Each of these approaches ignores the fact that a given injection molded part often comprises a variety of regions some of which are better analyzed with 2.5D analysis while other regions require 3D analysis. In this paper we introduce a new type of simulation which automatically decomposes a 3D model into 2D and 3D regions. The appropriate analysis type is then used. The approach shows improved accuracy over 2.5D analysis yet is more efficient than full 3D analysis.
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