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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Statistical Modeling of Tensile Properties of Talc-Filled Polypropylene Based on Multivariate Regression and Neural Network Analyses
In this paper, tensile properties of homo polypropylene (PP) with respect to talc filler content were predicted using regression model and neural network model. Talc content, tensile speed, Differential Scanning Calorimeter (DSC), Gel Permeation Chromatography (GPC) and rheometer data were used as modeling input factors. 2 different multiple regression models and 1 neural network model were established and the models were compared quantitatively by average error rate (AER). The results showed high reliability for all models but neural network models were determined as the most meaningful model.
Interlaminar Reinforcement of Composte Laminates with Heat Activated Shrinking Microfibers
This paper describes an innovative through-thickness fiber reinforcement technology for laminate structures by using shrinking microfibers. Unlike incumbent passive fiber reinforcing technology, in-situ shrinking microfibers that respond to an external stimulus such as heat can induce pre-compression to matrix and create additional resistance from external loads. In this paper, Heat-Activated Shrinking (HAS) microfibers and Heat Passive (HP) microfibers made were used to investigate the interlaminar reinforcing effect of fiber shrinking mechanism. The specimens were reinforced by three different fiber geometries: (i) 1.27 cm (0.5 in) interval stitch of single microfibers, (ii) 2.54 cm (1 in) interval stitch of single microfibers, (iii) 2.54 cm (1 in) interval stitch of double microfibers, and then peel strengths were compared with control using T-peel tests. For Case (i), the reinforcing effect from HAS microfibers was shown by 47.2 % improvement compared to the specimens with HP microfibers. By comparing to control specimens, it was almost 2,883% improvement. For Cases (ii) and (iii), 27.7 % and 57.0 % increases in peel strengths were resulted respectively. Comparing the control specimens and the specimens with HAS microfiber, it was 2,191% and 3,741% improvements, respectively.
Measurement for Viscosity Functions of Pure and Blowing Agent Laden Polymer Systems Using Screw Rheometer
Theory of single screw extruders has been used for analyzing the processing characteristics of various polymeric fabricated such material as plastics, rubber, and food products. This theory can be extended to measuring the polymer melt viscosity using the closed discharging state of the short single screw extruder. The batch wise operation of the closed discharged state changes the complex extrusion characteristic equation into simple calculation form of shear rate and viscosity equation. Using the screw rheometer for various polymer melt systems have many advantage for easiness of operation, good reproducibility, short time for measuring for pure polymer, measurement for the blowing agent laden polymer systems has the advantage of using the same processing equipment.
Oxygen Transport through Thin PE-CVD Coatings on Polypropylene: Stacking and Temperature Dependency
The largest field of application for plastics is currently packaging  as they offer good mechanical properties combined with low density. A drawback of plastic packaging for food, pharmaceuticals and electronics applications over e.g. metals or glass is often their permeability to oxygen, carbon dioxide, water vapor and aroma. In order to improve this property, nano-scaled plasma-barrier coatings are researched [2, 3]. These are able to form a thin, virtually impermeable layer on the substrate and then improve the permeation properties. In this work the influence of stacking and the temperature dependency of the oxygen transport through thin PE-CVD coatings on polypropylene is investigated.
Determination of Anisotropic Material Properties of Carbon-Fiber-Reinforced FDM Structures for Numerical Simulations
A methodology is introduced in this work to investigate the anisotropic elasticity constants of a short carbon-fiber-reinforced ABS plastic based on an orthotropic material model for FDM structures. Special unidirectional tensile specimens, which exhibit a specific building-space and individual-layer orientation, are produced for this purpose on a MakerBot Replicator 2X FDM system. The consistent approach to material characterization enabled a complete, validated material-data set for unidirectional FDM structures to be generated for the first time for a short fiber-reinforced plastic. This can be used directly for numerical calculations and optimizations of complex FDM structures in the linear elastic range for instance to develop lightweight structures that are specially adapted to the possibilities of a FDM process.
Combined Birefringence-Tensile Testing of Medical Plastics and Comparison to Finite Element Analysis
Combined birefringence-tensile testing was used to characterize stress development in medical-grade polycarbonate (PC) of four specimen geometries, which included un-notched samples and notched samples with various radii of curvature. Finite Element Analysis (FEA) was also performed to characterize the same geometries. The experimental birefringence stress maps of standard and notched tensile specimens were shown to correlate very well to contour stress maps generated from Finite Element Analysis (FEA) for the same geometries. Depending on the radius of curvature of the notch, the stress maps exhibited slightly different patterns; with sharper notches there were much higher local stress concentrations, which led to yielding and failure at lower displacements. This investigation shows the potential for combining birefringence analysis with mechanical testing, especially when inspecting parts, evaluating residual stress, performing screening studies of stresses, or for comparison to FEA results.
Plastic Packaging Recycling Using Intelligent Separation Technologies for Materials (PRISM)
A new way of rapidly sorting packaging into high purity streams (> 99%) has been developed based on intelligent labels with invisible markers that can be detected and sorted using existing high-speed optical sorting systems used in MRFs with minor modifications. The principles have been proven using a range of commercially available UV responsive fluorescent markers with high emission yields. A full-scale commercial optical sorting trial was conducted at the MRF facilities of Tomra in Germany. Sorting of used plastic packaging for closed loop recycling back into food packaging requires positive identification and sorting of the recycled materials to a higher standard. The operators of commercial food grade recycling processes are required to demonstrate the recycled materials meet relevant European Food Safety Authority (EFSA) criteria; these require at least 95% (PET) and 99% (HDPE) of the feed material must have been used for food contact in their first life. The initiation of closed loop food grade recycling of PP packaging is awaiting a viable technical solution to differentiate the food grade packaging. From previous sorting trials, it can be estimated that of the 143,000 tons of PP food packaging used annually , 77,077 tons could be recovered each year in the UK. The objective of this project was to further develop the fluorescent marker technology investigated in earlier projects that has the potential to meet EFSA requirements and to extend the scope to different applications, enabling and facilitating the sorting of different polymers to a high degree of purity. The scope of the project included the optimisation of fluorescent compounds, evaluation of their stability in the supply chain and the ability of the compounds to be effectively removed during the cleaning and decontamination process. The project investigated the viability of the technology and its capacity to be implemented in the UK and elsewhere. Unlike existing NIR sorting systems , this technology uses commercial labeling and decoration methods to sort targeted streams potentially including food-contact plastics, bioplastics, chemical packaging, automotive plastics, black plastics and different grades of one plastic. This technique has the potential to create new recycling loops for food grade PP, milk bottle sorting and PET products. The project demonstrated that the use of commercial labels incorporating fluorescent markers can be used to sort plastic bottles and packaging with high yields and purity.
Multifunctional Ply Interphases in Hierarchical Composite Laminates
A new approach employing carbon nanostructure (CNS) buckypapers (BP) to prepare glass fiber/epoxy composite laminates with enhanced resistance to delamination and damage monitoring capability is presented. Selective reinforcement in composite laminates was achieved by introducing the CNS-BS at the interlaminar region more prone to delamination. CNS wetting by the epoxy was improved using plasma treatment to promote stronger interfacial bonding. A significant increase in interlaminar fracture toughness in mode I and II was observed in composite laminates with CNS-BP at the laminate midplane. Cohesive/adhesive fracture of the conductive CNS layer enabled damage monitoring by electrical resistance measurements upon delamination. The proposed method using multifunctional ply interphases allows coupling damage monitoring with interlaminar reinforcement in composite laminates.
Compounding Challenges for Vinyl Flooring
Luxury Vinyl Tiles (LVT) are the largest growing product group in vinyl flooring. The high-quality appearance combined with the ease of installation and maintenance results in a steadily growing demand. As more and more companies are entering the market, a broad variety of processing options evolved. The compounding processes are required to deal with higher line speeds on one side and higher expectations concerning process flexibility and higher economical pressure on the other side. In the last years, more and more Continuous Kneaders are applied in this application. The unique principle of operation is used for all the different layers of the LVT. In the course of this talk we will investigate different options (with a focus on pelletizing and calendering processes) to deal with the demands of the market. New developments concerning the addition of fillers into the compounding process applying Continuous Kneaders are investigated and compared to standard solutions. A significant increase of the line productivity can be achieved applying the newly developed intake system while keeping the screw speed of the Kneader screw at a very low level.
Low Density HMS Polypropylene Foam: Controlling Foam Density and Cell Morphology
Linear isotactic polypropylene (PP) is used in a vast array of applications because it provides mechanical strength, chemical resistance, and thermal stability. However, semi-crystalline linear PP has limited use in low-density foam applications, which are dominated by amorphous polymers, such as polystyrene. This paper discusses technical challenges that have limited the use of PP in low-density, extruded foams. Specifically, the challenge of controlling foam density along with closed cell percent and cell count is addressed. The rheological properties have been evaluated in terms of viscosity, elasticity and melt strength which show good foaming potential. Interactions between the HMSPP polymer, linear PP blend polymers, blowing agent type, additive formulation, and process variables are investigated here for a new, developmental HMSPP grade. Braskem has developed a proprietary technology to produce High Melt Strength Polypropylene (HMSPP), branded as the Amppleo family, with a specific long chain branching configuration that helps overcome the limitations of linear PP when foaming to low densities of 150-50kg/m3.
Advanced Data Acquisition and Analysis for Injection Molders
The subject of this publication is the detection of optimization potential and the avoidance of faults and errors in the injection molding process using process data analysis. In modern injection molding machines, in addition to the produced plastic moldings, high amounts of process and machine data are available – in very high quality. Injection molding machines are equipped with high-resolution measuring devices that are connected to the bus system of the machine, which reaches out to all the components from the plasticizing barrel, frequency converters for drives, mold cavities, etc. To date, however, these data have not been fully exploited and have not been accessible in a convenient way. Through the further development of bus-based data interfaces, it is now possible to obtain all signals and sensor data, and use these data for external analysis purposes. The decisive factor is central recording of the relevant signals with a uniform time base. Corresponding recording in real-time facilitates complete documentation and utilization of the relevant process and machine data. Subsequently, these raw data must be processed appropriately so that they can be used for analysis purposes in order to extract the information from process and production, and generate corresponding benefits for the users and operators. Firstly, strategies and methods are shown on how (raw) data from a machine control (PLC) can be extracted and made available to the operator. For a diagnostically conclusive analysis, the complexity and the size of the data must be significantly reduced – here, machine and process-specific key figures are generated. Key figures are combined with one another and further compacted so that additional information can be obtained more easily.
Effects of Extruder Temperature and Screw Speed on Thermal Properties of Glass Fiber Reinforced Polyamide 6 Composites throughout the Direct Long-Fiber Reinforced Thermoplastics Process
This study investigates the effects of extruder temperature and screw speed on the thermal properties of glass fiber reinforced polyamide 6 (PA6) composites throughout the direct long-fiber reinforced thermoplastic (D-LFT) process. Thermogravimetric analyses (TGA) and differential scanning calorimetry (DSC) analyses were performed on samples taken from different locations along the D-LFT process. TGA results showed that the low screw speed of the extruders increased apparent activation energy of the final product. Non-isothermal DSC crystallization analysis revealed no substantial changes to the material’s degree of crystallinity with the variations in extruder temperature and screw speed; however, isothermal DSC crystallization analysis showed that the low screw speed of the extruders increased crystallization half-time of the final product.
Injection Molding of Glass Fiber Reinforced Polypropylene Composite Foams with Laminate Skins
Sandwich panels which consist of discontinuous glass fiber reinforced polypropylene composite foam core and continuous glass-fiber reinforced polypropylene laminate skins were manufactured using industry-scale equipment in a streamlined manner. The process included the two stages: (1) continuous glass-fiber reinforced polypropylene laminates as the face skins were produced using an automated tape layup machine and a hydraulic press and (2) discontinuous glass-fiber reinforced polypropylene composite as the core was foam injection-molded onto the face laminates (i.e., overmolding) with a physical blowing agent, nitrogen. The results suggested that the addition of the laminate skins and foaming by the core-back (or mold opening) technique can greatly reduce weight of material needed to have the same bending stiffness and maximum bending force.
Nanocomposites of SEBS/CNT for Electromagnetic Shielding: Effect of Processing Method and Maleic Anhydride
In this work, poly (styrene-b-ethylene-ran-butyleneb- styrene) (SEBS) and SEBS grafted maleic anhydride (SEBS-MA) and carbon nanotube (CNT) nanocomposites (SEBS/CNT and SEBS-MA/CNT) were prepared for electromagnetic shielding applications. Two different melt compounding methods were used, mixing followed by extrusion, and mixing followed by compression molding. In order to assess the morphologies and properties, the different nanocomposites were characterized through rheology, AC electrical conductivity measurements, and electromagnetic shielding analysis. Three different nanocomposites prepared in this work presented the requirements necessary to be used commercially for electromagnetic shielding applications. The higher electrical conductivity, around 6.0E-4 S.cm-1, and the higher electromagnetic shielding effectiveness, 31.67 dB, were achieved by the nanocomposite of SEBS/CNT with 5 wt% of CNT prepared by melt mixing followed by compression molding. This nanocomposite presented an attenuation of 99.93 % of the incident electromagnetic radiation.
Lightweight Design with Long Fiber Reinforced Thermoplastics - Mechanistic Direct Fiber Simulation for Prediction of Long Fiber Effects during Compression Molding
During the processing of long fiber reinforced plastics, both with thermoset and thermoplastic resins, the fibers inside the melt undergo complex movements which can cause a drastic decrease of the component’s mechanical properties. The most significant effect is observed in changes of the fiber orientation during processing, but furthermore extensive fiber breakage and deviations in fiber content in complex part regions can occur with the use of longer fibers. These effects could cause design problems and part failures, if not accounted for. With traditional process simulation tools focusing on the prediction of short fiber reinforced polymers, these long fiber effects are not displayed accurately. A novel simulation tool, the Direct Fiber Simulation using a mechanistic model, is applied where traditional process simulation tools show deficiencies. Hereby, the fibers inside the polymer flow are simulated as beam elements in a micro-mechanistic model with multi-scalar interactions. In this paper, the application of the micro-mechanistic model is examined for the use with long fiber reinforced plastics in compression molding. In the simulations, a ribbed plate geometry is examined in a wide range of fiber properties and simulation settings. The results show that the Direct Fiber Simulation is suitable to display the stated long fiber effects during compression molding and will be applied for further research.
An Approach to Improve the Prediction of Injection Pressure in Simulation Technology
Injection molding process simulation is a complex phenomenon wherein a thermoplastic material in melt state is injected into a cavity. The polymer melt replicates the details from the cavity and retains it as it solidifies and subsequently is ejected out of the mold. The Computer Aided Engineering (CAE) tools used for process simulation should be able to estimate the flow pattern, temperature distribution, shrinkage arising from material compressibility, viscous heating, pressure distribution, solidification, crystallization, fiber orientation, clamp force, etc. Despite many complexities arising from both material and molding process behavior, the CAE tools have evolved and matured to be reliable, accurate and useful in providing insightful details that can be used during product and process development. In some situations these tools still lack accuracy and overall reliability while analyzing some of the complex molding processes like thin wall molding, gas-assisted molding, etc. and needs to be studied to reduce these gaps and increase manufacturing predictability. In this report a systematic approach and detailed steps to further improve the overall accuracy of CAE prediction is described. This covers critical aspects like measurement of mold surface temperature, melt temperature and reduce their uncertainty while using them as inputs in CAE. Through a detailed in-mold rheological study the influence of injection speed on pressure to mold the part is studied leading to derivation of molding window. The pressure loss that occurs in the machine screw barrel can be significant and is captured through an air-shot study. All these studies provide insights about the process and forms the basis for setting up the model in CAE, which is more representative of the actual process consisting of the part, material, the flow channels, initial temperature conditions of melt and mold. Using this approach and with the inclusion of improved characterization of resin’s viscosity in the CAE material model, we are able to predict the peak pressure in this representative tool within 10% of actual value for LEXAN™ LS1.
Experimental Set up for Radiation Based in-Mold-Coating for Optical Components
The in-mold-coating (IMC) as a mass production process offers potential to generate low-cost, high precision surface qualities on polymeric composite materials for optical applications. The combination of the IMC process and photo-curable coating systems provides several advantages, especially reduced process complexity and short curing durations. This work presents the development and realization of an experimental set-up to apply high precision ultra-violet (UV-) curable coatings on polymeric substrates in an in-mold-coating process. Key aspect is the selection of a UV-transparent mold insert material, which was examined by UV-vis-spectroscopy, pull-off adhesion tests and contact angle measurement. Based on the results, a plasma-polymeric anti-adhesive coating applied on PMMA was used to verify the applicability of the experimental set up. A mold accuracy of more than 90 % of the generated photo-coatings to the used mold insert surface and a noticeable roughness improvement between the uncoated and coated specimen was achieved, which sets the basis for further investigations.
Simulation-Based Investigation of the Temperature Influence during Laser Transmission Welding of Thermoplastics
Because of several advantages, e.g. an exact and high energy input, laser transmission welding has become more and more important in the last few years. Due to the contactless energy input, a sufficient process control is a challenge. In industrial production, the process parameters for a good weld seam are qualified by the energy input, which describes the process parameters laser power, laser velocity and irradiation time. These process parameters lead to the welding temperature, which influence the weld seam quality. The question remaining is whether the energy input describes the weld strength sufficiently or whether the welding temperature has a higher influence on the weld quality. In this study the influence of the energy input on the weld quality is determined for an industrial material combination (PBT ASA-GF20 and PC) in experimental examinations for quasi-simultaneous welding. The welding temperature for every design point is calculated and the influence of the temperature on the weld strength is analyzed in an FEM model. In order to compare the influences of the two factors, welding temperature and energy input, a correlation analysis is performed. The correlation analysis shows a higher influence of the welding temperature on the weld strength compared to the energy input. But the energy input is also able to describe the weld strength.
Increasing Surface Properties by Using an Integrated Screw-Based Additive and Subtractive Manufacturing Process
Additive manufacturing is a promising way of producing function-integrated multi-component parts in addition to the machining of semi-finished parts, welding and injection molding. Additive manufacturing offers a high potential especially regarding individualization, geometrical complexity and functional integration. However, additive manufactured parts have disadvantages in terms of dimensional accuracy, surface quality and functional integration by using inserts. Moreover, the industrial variety is very limited in today’s additive manufacturing processes. So the overall goal of customized production can only be achieved by using the optimum manufacturing process that is most suitable to the customer's requirements. For that purpose, the IKV developed the hybrid manufacturing technology to combine advantages and reduce disadvantages of each involved manufacturing process. In this study it is shown that a subsequent subtractive manufacturing process enables the production of high-gloss plastic components. Additionally the subtractive manufacturing process offers the potential to increase the dimensional accuracy. The shown hybrid concept enables the integration of different extruders as well as the integration of different machining or handling tools for inserts operations. The used extruders base on a screw extruder technology. For this reason it is possible to process standard thermoplastic materials. In order to calibrate CAM interfaces the extruder throughput should be calculated in advanced. For that different throughput models were used and validated with the existing systems engineering.
Comparison of the Processing Properties of Thermoplastic Elastomers and Thermoplastics Using Gas Assisted Injection Molding
The process of gas assisted injection molding (GAIM) with thermoplastic materials has been investigated comprehensively in recent years. This has been done using both experimental and numerical (mostly finite-element-method) studies. In the study presented in this paper the possibilities of using thermoplastic elastomers (TPE) within this process are shown and compared to typical thermoplastic polymers. The results include the obtained residual wall thicknesses and measurements of gas front velocities. The minimal wall thicknesses obtained with TPE materials and thermoplastics at high gas pressures within this study are of similar level. The values for lower pressure levels however are significantly influenced by the rheological properties of the particular materials. The distinctive shear thinning of the TPE materials and the Newtonian flow behavior of the thermoplastics used in this study have major influence on the melt displacement velocity and the residual wall thickness.
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