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Academic literature on the topic 'Injection moulding process simulation'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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Journal articles on the topic "Injection moulding process simulation"

Białasz, Sebastian, and Tomasz Klepka. "Simulation of the medical syringe injection moulding process." MATEC Web of Conferences 252 (2019): 05016. http://dx.doi.org/10.1051/matecconf/201925205016.

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This paper contains a description of tests including the simulation of the injection moulding of thin-walled products. The simulation was designed to analyse the potential impact of processing conditions and cooling conditions on the defects of thin-walled products of the body of the syringe. In order to obtain the correct results, the analysis was based on a simulation comparison with the data obtained after the injection mouldings were produced. Four cases were considered - parameters with reduced injection pressure and absence of pressure push, with a reduced temperature of the injection mould. The test results were analysed in conditions compliant with the recommendations of the production card and with the parameters optimised by computational algorithms of the computer programme. Simulations were carried out using the Simcon CadMould 3D-F programme. The paper describes the construction of a thin-walled body, which is the main segment of a medical instrument - a medical syringe. Also described in the paper are the process of injection of polymer materials and the characteristics of the production of medical syringes. In addition the computer programme software for the simulation of production processes was presented.

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Nardin, B., K. Kuzman, and Z. Kampus. "Injection moulding simulation results as an input to the injection moulding process." Journal of Materials Processing Technology 130-131 (December 2002): 310–14. http://dx.doi.org/10.1016/s0924-0136(02)00734-3.

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Li, Wei. "Injection Moulding Simulation Analysis of Handle Shell." Advanced Materials Research 798-799 (September 2013): 286–89. http://dx.doi.org/10.4028/www.scientific.net/amr.798-799.286.

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This thesis first made an introduction to the functional and technical requirements of this product, and then determined its moulding process. After that, the injection moulding process parameters of the selected injection moulding machine were set, besides, it applied Moldflow software to make simulation analysis to multiple schemes of injection moulding process, and finally, the best mold structure was determined according to the final analysis result.

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Titomanlio, G., V. Speranza, and V. Brucato. "On the Simulation of Thermoplastic Injection Moulding Process." International Polymer Processing 10, no. 1 (March 1995): 55–61. http://dx.doi.org/10.3139/217.950055.

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Titomanlio, G., V. Speranza, and V. Brucato. "On the Simulation of Thermoplastic Injection Moulding Process." International Polymer Processing 12, no. 1 (March 1997): 45–53. http://dx.doi.org/10.3139/217.970045.

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Ding, D., P. Townsend, and M. F. Webster. "Finite element simulation of an injection moulding process." International Journal of Numerical Methods for Heat & Fluid Flow 7, no. 7 (November 1997): 751–66. http://dx.doi.org/10.1108/09615539710185884.

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Yanev, A. S., Gustavo R. Dias, and António M. Cunha. "Visualization of Injection Moulding Process." Materials Science Forum 587-588 (June 2008): 716–20. http://dx.doi.org/10.4028/www.scientific.net/msf.587-588.716.

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A special tool-transparent mould designed to visualize the melt flow inside the cavity is used in this research. The aim of the work is to assess the polymer melt behavior under different processing conditions-close to industrial, in conventional and two materials non-conventional injection moulding techniques. The mould is designed with two injection locations and has possibility to change the geometry of the cavity in order to investigate the melt behavior in differently shaped cavities. Visual access in the mould is allowed by the sapphire windows, surrounding the cavity. For image acquisition a high speed video camera NAC 1000 is used. Materials used in the research are three polypropylenes with different flow index. Results are obtained for conventional injection moulding, two material monosandwich and two material biinjection moulding. Apart from visualization, instrumentation of the mould allows to be obtained PT data for each processing condition. Results from conventional injection moulding are compared with MPI5.0 simulations.

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Palutkiewicz, Pawel. "Computer simulations of cellular injection moulding process." Polimery 60, no. 02 (February 2015): 132–43. http://dx.doi.org/10.14314/polimery.2015.132.

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Turng, L.-S., and M. Peić. "Computer aided process and design optimization for injection moulding." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 216, no. 12 (December 1, 2002): 1523–32. http://dx.doi.org/10.1243/095440502321016288.

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Sophisticated computer aided engineering (CAE) simulation tools for injection moulding have been available and are now widely used in industrial practices. As a result, the design and manufacturing of injection-moulded parts have been literally transformed from a ‘black art’ to an engineering discipline based on scientific principles. It is well recognized that computer simulation tools help engineers to gain process insight and to pinpoint blind spots and problems that are overlooked. Nevertheless, there remains a missing link in CAE, which lies in the ability to identify effectively the optimal design and process variables, as it is hampered by the sheer amount of computer-generated data and complex non-linear interactions among those input variables. This paper presents the system implementation and experimental verifications of an integrated CAE optimization tool that couples a process simulation program with optimization algorithms to determine intelligently and automatically the optimal design and process variables for injection moulding. In addition, this study enables evaluation and comparison of various local and global optimization algorithms in terms of computational efficiency and effectiveness for injection moulding, as presented in this paper.

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Virdhian, Shinta, Sina Jamilah, Sugeng Supriadi, and Bambang Suharno. "METAL INJECTION MOULDING PROCESS SIMULATION FOR ORTHODONTIC BRACKET APPLICATION." Jurnal Teknologi Bahan dan Barang Teknik 7, no. 2 (December 29, 2017): 51. http://dx.doi.org/10.37209/jtbbt.v7i2.94.

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Proses Metal Injection Moulding (MIM) merupakan salah satu proses yang efektif untuk pembuatan produk logam yang memiliki bentuk yang rumit dan skala produksi massal. Proses MIM telah digunakan pada banyak aplikasi seperti produk rumah tangga, otomotif, biomedikal dan lain-lain. Dalam penelitian ini, braket ortodontik dibuat melalui proses MIM. Sebelum proses manufaktur, simulasi injeksi dilakukan dengan menggunakan software komersial Sigmasoft untuk mengevaluasi desain dan optimasi parameter proses. Beberapa parameter proses dimasukkan ke dalam simulasi untuk mendapatkan kondisi proses yang optimum, antara lain temperatur injeksi,temperatur mold, waktu proses, dan tekanan selama proses injeksi. Dalam simulasi ini, temperatur injeksi 190 °C dan temperatur mold divariasikan 90-150 °C dan waktu pengisian dari 0,5-3 detik. Hasil simulasi menunjukkan temperatur mold optimum pada 90 °C dan feedstock masih bisa mengisi rongga dengan waktu pengisian 2,5 detik. Dari hasil simulasi aliran menunjukkan desain yang ada dapat dioptimalkan dengan mengurangi ukuran runner dan bentuk yang tajam.Kata kunci: braket ortodontik, metal injection moulding, simulasi, software Sigmasoft

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Dissertations / Theses on the topic "Injection moulding process simulation"

De, Kock Willem Johan. "Numerical simulation of the plastics injection moulding process." Doctoral thesis, University of Cape Town, 1994. http://hdl.handle.net/11427/18307.

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The Hele-Shaw formulation is widely used for the simulation of the injection moulding process. The influence of the Hele-Shaw approximations is, however, unknown. A two-dimensional numerical model based on the Hele-Shaw formulation, and a model based on the Navier-Stokes equations without the Hele-Shaw approximations were developed. The solutions obtained with these two approaches were compared to investigate the influence of the Hele-Shaw approximations on the simulation of the injection moulding process. Weakly compressible, non-Newtonian flow of an amorphous polymer melt under non-isothermal conditions were simulated using constitutive equations generalized to non-Newtonian materials. The finite volume method, which is a very powerful method yet easy to use, was used to discretize the governing equations as compared to finite element methods used in most other reported models. The influence of the Hele-Shaw approximations on the solutions of specific flow cases was determined by comparing the solutions obtained with the model based on the Hele-Shaw formulation and the model based on the Navier-Stokes equations. Parametric studies were done to compare the solutions of the two numerical models for a wider range of flow cases. The following conclusions were made as a consequence of this study: Numerical models to simulate the injection moulding process can be simplified and the computer time required to solve these models can be reduced by using the Hele-Shaw formulation instead of solving the full Navier-Stokes equations. Numerical models based on the Hele-Shaw formulation are well suited to simulate the injection moulding process when the geometries and flow conditions fall within certain limits. These limits are determined by the combined effect of the geometry and the flow conditions represented by the Reynolds number. The simplicity of the finite volume method used in the generalized Hele-Shaw model makes it an attractive model to use for injection moulding simulations.

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Jüttner, Gabor, Tham Nguyen-Chung, Günter Mennig, and Michael Gehde. "Simulation of the Filling Process in Micro-Injection Moulding." Universitätsbibliothek Chemnitz, 2008. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200801189.

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Nowadays, the filling and solidification of macro-scale injection mouldings can be predicted using commercial CAE software. For micro-injection moulding, the conventional tools do not work for all process conditions. The reasons might be the lack of high quality database used in the simulation and the improperly specified boundary conditions which do not reflect the real state in the cavity. Special aspects like surface tension or "size dependent" viscosity might also be responsible for the inaccuracy of the simulations. In this paper, those aspects related to the boundary conditions were taken into consideration, especially the thermal contact behaviour and the melt compression in the barrel which affects not only the temperature of the melt due to the compression heating, but also reduces the actual volume rate in the cavity. It can be shown that the heat transfer coefficient between the melt and the mould wall has a significant influence on the simulation results. In combination with precise material data and considering the reduction of the volume rate due to the melt compression in the barrel, the heat transfer coefficient may be quantified by means of reverse engineering. In general, it decreases when either the cavity thickness or the injection speed increases. It is believed that a pressure dependent model for the heat transfer coefficient would be more suitable to describe the thermal contact behaviour in micro injection moulding. The melt compression in the barrel affects definitely the filling behaviour and subsequently the heat transfer in the cavity as well, which is especially true for micro parts of high aspect ratio.

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Fu, Tingrui. "PP/clay nanocomposites : compounding and thin-wall injection moulding." Thesis, Loughborough University, 2017. https://dspace.lboro.ac.uk/2134/24655.

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This research investigates formulation, compounding and thin-wall injection moulding of Polypropylene/clay nanocomposites (PPCNs) prepared using conventional melt-state processes. An independent study on single screw extrusion dynamics using Design of Experiments (DoE) was performed first. Then the optimum formulation of PPCNs and compounding conditions were determined using this strategy. The outcomes from the DoE study were then applied to produce PPCN compounds for the subsequent study of thin-wall injection moulding, for which a novel four-cavity injection moulding system was designed using CAD software and a new moulding tool was constructed based upon this design. Subsequently, the effects of moulding conditions, nanoclay concentration and wall thickness on the injection moulded PPCN parts were investigated. Moreover, simulation of the injection moulding process was carried out to compare the predicted performance with that obtained in practice by measurement of real-time data using an in-cavity pressure sensor. For the selected materials, the optimum formulation is 4 wt% organoclay (DK4), 4 wt% compatibiliser (Polybond 3200, PPgMA) and 1.5 wt% co-intercalant (erucamide), as the maximum interlayer spacing of clay can be achieved in the selected experimental range. Furthermore, DoE investigations determined that a screw speed of 159 rpm and a feed rate of 5.4 kg/h are the optimum compounding conditions for the twin screw extruder used to obtain the highest tensile modulus and yield strength from the PPCN compounds. The optimised formulation of PPCNs and compounding conditions were adopted to manufacture PPCN materials for the study of thin-wall injection moulding. In the selected processing window, tensile modulus and yield strength increase significantly with decreasing injection speed, due to shear-induced orientation effects, exemplified by a significantly increased frozen layer thickness observed by optical microscopy (OM) and Moldflow® simulation. Furthermore, the TEM images indicate a strong orientation of clay particles in the flow direction, so the PPCN test pieces cut parallel to the flow direction have 36.4% higher tensile modulus and 13.6 % higher yield strength than those cut perpendicular to the flow direction, demonstrating the effects of shear induced orientation on the tensile properties of thin-wall injection moulded PPCN parts. In comparison to injection speed, mould temperature has very limited effects in the selected range investigated (25-55 °C), in this study. The changes in moulding conditions show no distinctive effects on PP crystallinity and intercalation behaviour of clay. Impact toughness of thin wall injection moulded PPCN parts is not significantly affected by either the changes in moulding conditions or clay concentration (1-5 %). The SEM images show no clear difference between the fracture surfaces of PPCN samples with different clay concentrations. TEM and XRD results suggest that higher intercalation but lower exfoliation is achieved in PPCN parts with higher clay content. The composites in the thin sections (at the end of flow) have 34 % higher tensile modulus and 11 % higher yield strength than in the thicker sections, although the thin sections show reduced d001 values. This is attributed to the significantly enhanced shear-induced particle/molecular orientation and more highly oriented frozen layer, according to TEM, OM and process simulation results. In terms of the reduced d001 values in the thin sections, it is proposed that the extreme shear conditions in the thin sections stretch the PP chains in the clay galleries to a much higher level, compaction of clay stacks occurs as less interspacing is needed to accommodate the stretched chains, but rapid cooling allows no time for the chains to relax and expand the galleries back. Overall, data obtained from both actual moulding and simulation indicate that injection speed is of utmost importance to the thin-wall injection moulding process, development of microstructure, and thus the resulting properties of the moulded PPCN parts, in the selected experimental ranges of this research.

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Mullath, Aravind. "Process simulation and optimisation of thin wall injection moulded components." Thesis, Loughborough University, 2013. https://dspace.lboro.ac.uk/2134/13521.

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Integrally moulded hinges and tension bands are important features in packaging components for plastic closures and their function is critically dependent on the flow induced micromorphology in the hinge section. Polymer characteristics and processing of the hinge also have an influence on the hinge properties obtained. This study is aimed at obtaining interrelationships between polymer characteristics, in-cavity flow, microstructure development and hinge properties, to produce hinges with enhanced functional properties. Three different virgin polypropylene (PP) grades were investigated (homopolymer PP-H, random copolymer PP-RC and impact copolymer PP-IC) and injection moulding simulation was carried out using Moldflow software. In-cavity data acquisition has been carried out for different sets of injection moulding conditions, using high performance transducers and a data acquisition system. A comparison between Moldflow simulation and practical injection moulding data suggests that, for thin wall injection moulded components the real time pressure data are in close agreement during the injection stage. During the packing stage there is some disagreement between these data, since the thickness of hinge and tension band sections are 0.4 mm and 0.5 mm respectively, suggesting that these dimensions are extending the capability of the software. An extensive study using a design of experiments (DoE) approach was carried out on both practical and predictive data. Injection velocity and melt temperature were the most influential factors on the component mechanical properties. From the optical micrographs it is observed that PP-RC has a finer micro-structure compared to PP-H and PP-IC and some micrographs confirm Moldflow simulation results in which hesitation effects are evident, as the flow converges into the thin hinge and tension band sections. PP-clay nanocomposites (PP-CN) were prepared using a twin screw compounder. Transmission electron microscopy (TEM) has shown some evidence of dispersion and exfoliation of the clay particles in the PP matrix. However, X-ray diffraction (XRD) results show a reduction in inter-layer spacing of PPCN s possibly due to clay compaction. The addition of nano-clay however has not resulted in any significant improvements in the mechanical properties of hinges and tension bands. The high degree of molecular orientation induced in the hinge and tension-band sections appears to mask any improvements attributed to the addition of nano-clay. From the reprocessed and post consumer recyclate (PCR) study conducted on hinges and tension bands, it is seen that with an increase in both the re-processing and PCR content there is a decrease in the component strength of around 14%, giving scope to potentially use PCR in future packaging applications. Investigations conducted on colour pigments (violet and green) reveal that the onset of crystallisation for green pigmented mouldings is considerably higher (16°C) than for natural and violet mouldings. Optical micrographs also reveal a finer microstructural texture for green components, indicating a high nucleating capability of the green pigment. Irrespective of the colour, both for hinges and tension bands, the yield stress values were around twice as high as the values quoted in the manufacturer s data sheet for isotropic PP, due to the high levels of molecular orientation in the hinge and tension band sections. In order to industrially validate the findings from the DoE study, commercial closures were produced in industry on a production tool then characterised. In the case of tension bands, there was a good agreement between the results obtained from lab scale and industrial study due to the relatively simple geometry. For hinges this agreement is not so clear. Finally a comparison of mechanical properties of the 3 PP grades shows that PP-H has a higher yield stress compared to PP-IC and PP-RC and yield stress is significantly higher (yield strain values are lower) than values quoted by the manufacturer. The PhD study has confirmed the process conditions that are able to optimise all the interactive effects to improve functional properties in high volume parts in the packaging industry.

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Polynkin, A., L. Bai, J. F. T. Pittman, J. Sienz, Leigh Mulvaney-Johnson, Elaine C. Brown, A. Dawson, et al. "Water assisted injection moulding: development of insights and predictive capabilities through experiments on instrumented process in parallel with computer simulations." Maney Publishing, 2008. http://hdl.handle.net/10454/3511.

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Yes
An idealised model of core-out in water assisted injection moulding (WAIM) is set up to isolate the effect of cooling by the water on the deposited layer thickness. Based on simulations, this is investigated for a specific case as a function of Pearson number and power law index. It is found that cooling significantly reduces the layer thickness to the extent that a change in the flow regime ahead of the bubble, from bypass to recirculating flow, is possible. For shear thinning melts with high temperature coefficient of viscosity, the simulations show very low layer thickness, which may indicate unfavourable conditions for WAIM. Although in the real moulding situation, other effects will be superimposed on those found here, the results provide new insights into the fundamentals of WAIM. Investigation of other effects characterised by Fourier and Reynolds numbers will be reported subsequently. Some early process measurement results from an experimental WAIM mould are presented. Reductions in residual wall thickness are observed as the water injection set pressure is increased and the duration of water bubble penetration through the melt is determined experimentally. The formation of voids within the residual wall is noted and observed to reduce in severity with increasing water injection pressure. The presence of such voids can be detected by the signature from an infrared temperatures sensor.

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Mulvaney-Johnson, Leigh. "Gas assisted injection moulding : experiment and simulation : industrial machine experimental studies of the effect of process variables on gas bubble formation, and with simulation based upon a pseudo-concentration method." Thesis, University of Bradford, 2001. http://hdl.handle.net/10454/4983.

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The gas assisted injection moulding process is an important extension to conventional injection moulding. Gas assist can be applied in a number of ways, but here the penetration of a gas bubble through the polymer melt is of interest. A 3D fi nite element implementation of a pseudo concentration method is employed to simulate the primary penetration of the gas bubble. The wall thickness prediction is an important result since the extent of bubble penetration is sensitive to the remaining melt fraction. A number of methods for experimental measurement are developed to measure characteristics of the gas assisted injection moulding process dynamics and product. Key process variables, on an industrial gas-assist machine, were measured and analysed, leading to an empirical model for wall thickness prediction. Gas delay time and injection velocity are shown to be most influential in controlling residual wall thickness. Simulation results are evaluated against the empirical model. The trends observed, for simulation and experiment, in wall thickness after changes in process variable settings are found to agree qualitatively. The wall thickness prediction is found to be within 10% of the experimentally obtained measurements.

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Choi, Mun Ying. "Computer simulation of injection moulding of thermoplastics." Thesis, Imperial College London, 1985. http://hdl.handle.net/10044/1/37662.

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Scholz, Steffen Gerhard. "Micro injection moulding : process monitoring and optimisation." Thesis, Cardiff University, 2011. http://orca.cf.ac.uk/14054/.

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The advances in micro engineering and especially micro products and micro components with functional micro and nano structures / features are directly dependent on the advances in manufacturing technologies for their scale up production. Micro injection moulding is one of the key technologies for cost affective serial production of micro components. In this thesis, the process capabilities and constraints of this technology were studied systematically. More specifically, new tool making process chains and various process factors affecting the micro injection moulding process were investigated. The manufacturing capabilities of this technology were further analysed by investigating the filling behaviour of micro cavities, the influence of air in micro cavities and the forces occurring during the demoulding stage. Chapter 2 of this thesis reviews the slate of the art in micro tooling and micro injection moulding. In Chapter 3 an advanced condition monitoring system was developed to better understand the behaviour of the injection moulding process. In particular, cavity pressure sensors were utilised to analyse interdependences between process conditions and key characteristics of cavity pressure curves. Chapter 4 investigates the influence and effects of air inside micro cavities. A design of experiments’ study was carried out to identify process settings for achieving an optimum filling of micro cavities In particular the flow length inside the cavity was investigated to judge about the process performance. Next, the demoulding stage of the injection moulding cycle was studied in Chapter 5. In particular, ejection forces were analysed to investigate the influence of different process settings on demoulding behaviour of polymer parts. This is especially important in order to avoid any part damage during demoulding. In Chapter 6 micro stereolithography was used to fabricate mould inserts for micro injection moulding. Experiments were carried out with such mould inserts, and the tool life in relation to process settings for both the manufacture of the inserts and their replication performance, was studied systematically. Finally, Chapter 7 summarises the main conclusions and contributions to knowledge of this research. Also, future research directions in the area of micro injection moulding are proposed and briefly discussed The main findings of this research can be summarised as follows: • Indirect measurement methods can be utilised to monitor cavity pressure conditions in micro injection moulding and it was shown that Pmax, Pwork and Prate were dependent on the materials and processing conditions. • The performance of the u-IM process can be improved by understanding the effects of V1 and air evacuation on Qmax, Q, and the part flow length. High u-IM process settings and a limited venting through the primary split line have a significant impact on the filling performance. The u-IM process performance can be improved by incorporating secondary vents and by applying vacuum methods for air evacuation. • Pmax, Pwork and Fe max were dependent on the processing conditions and there is a direct correlation between cavity pressure and demoulding force. The position of the pressure sensors is important, but the readings of both sensors correlate. The holding pressure has the highest impact on the maximum demoulding forces. Rapid tooling can be applied successfully in u-IM and offers a faster, cheaper and highly flexible manufacturing route for producing prototypes in the final material. Only the uSL inserts produced with a layer thickness of 20 um (less undercuts) survived during the demoulding stage. The best results were achieved with PP, followed by PC. ABS polymer parts couldn’t be replicated successfully.

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Griffiths, Christian Andrew. "Micro injection moulding : tooling and process factors." Thesis, Cardiff University, 2008. http://orca.cf.ac.uk/54854/.

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The development of new micro devices is highly dependent on manufacturing systems that can reliably and economically produce micro components in large quantities. Micro injection moulding is one of the key technologies for micro-manufacture and is considered as a cost effective replication method for mass production. The capabilities of this replication technology have to be studied systematically in order to determine the process constraints. The present work concerns the tooling and process factors that influence micro injection moulding. The requirements of this manufacturing process are identified, and a review of the current state of the art in the field, Chapter 2, is used to assess the potential of this technology. To analyse further the manufacturing capabilities of this technology against the requirements, an investigation of the pre-filling, filling and part removal stages of the process cycle is conducted. In particular, in Chapter 3 the pre-filling capabilities of multi cavity micro tools with the use of a runner system is explored. The filling performance of spiral-like micro cavities was studied as a function of runner size in combination with selected process factors. Then, in Chapter 4 the filling of micro mould cavities with controlled tool surface finishes is investigated. Factors affecting the flow behaviour are discussed and a special attention is paid to the interaction between the melt flow and the tool surface roughness. Using the same part design as that of the tool surface finish investigation, in Chapter 5 a Finite Element Analysis (FEA) is used to verify the effects of process parameters, particularly the factors affecting shear rate, pressure and temperature. The results of this investigation were then compared with those reported in the experimental study. Finally, in Chapter 6 the application of micro mould surface treatments is analysed. The effects of different surface treatments on the de-moulding of parts with micro features are investigated to identify the best processing conditions in regards to de-moulding behaviour. To validate the process effects for these three process stages micro injection moulding experimental set-ups were specially designed and implemented. These experiments apply various part designs, tool-making techniques, process factors, part inspection and condition monitoring techniques, and FEA. To further understand the importance of process characteristics at the micro scale, an in depth analysis of the experimental results for each of the selected investigations was carried out. Finally, in Chapter 7 the results from each of the investigations are summarised, and the main research findings identified, in particular the influence of runner size on the process performance, tool surface finish effects on the filling process, the accuracy and sensitivity of the proposed FEA model, and the effects of tool surface treatment on part de-moulding.

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Somnuk, Peerawat. "Experimental study of simultaneous co-injection moulding process." Thesis, University of Warwick, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308577.

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Books on the topic "Injection moulding process simulation"

Geraldus Antonius Adrianus Victor Haagh Haagh. Simulation of gas-assisted injection moulding. Eindhoven: Eindhoven University, 1998.

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Somnuk, Peerawat. Experimental study of simultaneous co-injection moulding process. [s.l.]: typescript, 1995.

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Beaumont, John P. Successful injection molding: Process, design, and simulation. Munich: Hanser, 2002.

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Sombatsompop, Narongrit. The characteristics of flowing polymer melts in the injection moulding process. Manchester: UMIST, 1997.

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Ozolins, Christopher. Development of an injection and moulding subsystem for a microcellular plastic manufacturing process. Ottawa: National Library of Canada, 2001.

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Barnett-Ritcey, Dwayne. Powder injection moulding (PIM): A special report by the Industrial Research and Development Institute to assist companies in the evaluation of this state of the art manufacturing process. [Midland, Ont.]: The Institute, 1997.

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Successful Injection Molding: Process, Design, and Simulation. Hanser Gardner Publications, 2002.

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Cao, Peng. Feedstock Technology for Titanium Metal Injection Moulding: Process, Design, and Application. Elsevier, 2020.

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Al-Ashaab, Ahmed Habbas Sabri. A manufacturing model to capture injection moulding process capabilities to support design for manufacture. 1994.

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PIAE EUROPE 2021. VDI Verlag, 2021. http://dx.doi.org/10.51202/9783181023853.

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Contents Structural components/Strukturbauteile Development of an energy-absorbing structural element made of polyamide integrated in the plastic front-end carrier of the new Mercedes S-Class ..... 1 Entwicklung eines energieabsorbierenden Strukturelements aus Polyamid integriert im Kunststoff-Frontendträger der neuen Mercedes S-Klasse ..... 5 BAGS: Highly-integrated front-end module carrier ..... 9 BAGS: Hochintegrierter Front End Modulträger ..... 19 Surfaces/Oberflächen Lightweight plastic construction with visible surface as examplified by the Volkswagen ID 3 tailgate ..... 29 Kunststoffleichtbau mit Sichtoberfläche am Beispiel der Heckklappe Volkswagen ID3 ..... 39 Breakthrough in producing soft and sustainable interior surfaces by injection moulding of TPE ..... 49 Simulation The all-new MAN high-roof cab – epoxy sandwich RTM – simulated using FEM and crashed under real conditions ..... 61 Epoxid-Sandwich-RTM – FEM gerechnet und real gecrasht ..... 75 Development and validation of a simulation methodology for the prediction of surface defects for plastic components with metallic effect pig...

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Book chapters on the topic "Injection moulding process simulation"

Bilovol, V. V., L. Kowalski, and J. Duszczyk. "An Example of Numerical Simulation of the Powder Injection Moulding Process." In Microstructures, Mechanical Properties and Processes - Computer Simulation and Modelling, 343–49. Weinheim, FRG: Wiley-VCH Verlag GmbH & Co. KGaA, 2005. http://dx.doi.org/10.1002/3527606157.ch54.

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Rosli, M. U., S. N. A. Ahmad Termizi, C. Y. Khor, M. A. M. Nawi, Ahmad Akmal Omar, and Muhammad Ikman Ishak. "Optimisation of Process Parameters in Plastic Injection Moulding Simulation for Blower Impeller’s Fan Using Response Surface Methodology." In Lecture Notes in Mechanical Engineering, 309–18. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0866-7_26.

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Latt, Jonas, Guy Courbebaisse, Bastien Chopard, and Jean Luc Falcone. "Lattice Boltzmann Modeling of Injection Moulding Process." In Lecture Notes in Computer Science, 345–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30479-1_36.

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Veeresh Nayak, C., G. C. Manjunath Patel, M. R. Ramesh, Vijay Desai, and Sudip Kumar Samanta. "Analysis and Optimization of Metal Injection Moulding Process." In Materials Forming, Machining and Tribology, 41–74. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18854-2_2.

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Nabiałek, Jacek, and Tomasz Jaruga. "Numerical Modeling of MuCell® Injection Moulding Process." In Lecture Notes in Mechanical Engineering, 434–47. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16943-5_37.

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Ribeiro, Inês, Paulo Peças, and Elsa Henriques. "Assessment of Energy Consumption in Injection Moulding Process." In Leveraging Technology for a Sustainable World, 263–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29069-5_45.

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Wortberg, Jonannes, and Mahmud Al-Haj Mustafa. "Model Based Approaches for Closed-Loop Quality Control in Injection Moulding." In Process Modelling, 421–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60120-0_28.

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Flaman, A. A. M., and B. Veltman. "Injection moulding experiments, a challenge to numerical simulation programs." In Progress and Trends in Rheology II, 129–31. Heidelberg: Steinkopff, 1988. http://dx.doi.org/10.1007/978-3-642-49337-9_35.

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Ding, D., P. Townsend, and M. F. Webster. "Numerical Simulation of Filling Problems Related to Injection Moulding." In Fluid Mechanics and Its Applications, 133–58. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0191-2_9.

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Sitters, C. W. M., and J. F. Dijksman. "On the Mathematical Modelling of the Injection Moulding Process." In Integration of Fundamental Polymer Science and Technology, 361–66. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4185-4_53.

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Conference papers on the topic "Injection moulding process simulation"

Marhöfer, D. M., G. Tosello, H. N. Hansen, and A. Islam. "Advancements on the Simulation of the Micro Injection Moulding Process." In 10th International Conference on Multi-Material Micro Manufacture. Singapore: Research Publishing Services, 2013. http://dx.doi.org/10.3850/978-981-07-7247-5-426.

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Ahmad, A. H., Z. Leman, M. A. Azmir, K. F. Muhamad, W. S. W. Harun, A. Juliawati, and A. B. S. Alias. "Optimization of Warpage Defect in Injection Moulding Process Using ABS Material." In 2009 Third Asia International Conference on Modelling & Simulation. IEEE, 2009. http://dx.doi.org/10.1109/ams.2009.120.

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Šercer, Mladen, Damir Godec, and Božo Bujanić. "Application Of Moldex3D For Thin-wall Injection Moulding Simulation." In MATERIALS PROCESSING AND DESIGN; Modeling, Simulation and Applications; NUMIFORM '07; Proceedings of the 9th International Conference on Numerical Methods in Industrial Forming Processes. AIP, 2007. http://dx.doi.org/10.1063/1.2740952.

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Biglione, Jordan, Yves Béreaux, and Jean-Yves Charmeau. "Injection blow moulding single stage process: Validation of the numerical simulation through tomography analysis." In ESAFORM 2016: Proceedings of the 19th International ESAFORM Conference on Material Forming. Author(s), 2016. http://dx.doi.org/10.1063/1.4963416.

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Trotta, Gianluca, Vincenzo Bellantone, Rossella Surace, and Irene Fassi. "Effects of Process Parameters on the Properties of Replicated Polymeric Parts." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-71049.

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The increasing demand for small and even micro scale parts is boosting the development of reliable micro system technologies. Micro-fabrication process capabilities should expand to encompass a wider range of materials and geometric forms, by defining processes and related process chains that can satisfy the specific functional and technical requirements of new emerging multi-material products, and ensure the compatibility of materials and processing technologies throughout these manufacturing chains. Micro injection moulding is the process of transferring the micron or even submicron precision of microstructured metallic moulds to a polymeric products. It represents one of the key technologies for micro manufacturing because its mass production capability and relatively low production cost. Polymers have relatively low cost, and offer good mechanical and thermal strength, electrical insulation, optical transparency, chemical stability and biocompatibility. In this work the authors investigate the micro injection moulding process parameters on the overall quality of a miniaturized dog-bone shaped specimen. The aim of the experimentation is to calibrate the process and set the machine for the correct filling of the component. A set of injection parameters are selected for study by experimental plan and simulation tool and then discussed. Simulation results are used to better understand the polymer flow behaviour during the filling phase. A commercial software is used and input data, collected during the micro injection moulding process, are included using as performance indicators flow front position and moulded mass. Process simulation can provide, at the present time, mostly qualitative input to the designer and process engineer. Two different polymers materials are tested and evaluated in relation to the process replication capability: Polyoxymethylene (POM) and Liquid Cristal Polymer (LCP). Finally, the moulding factors with significant statistical effects are identified. The holding pressure and holding time for POM and the holding pressure and injection velocity for LCP show the highest influence on achieving high part mass.

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Baruffi, F., M. Calaon, G. Tosello, and R. Elsborg. "On the Applicability of Micro-injection Moulding Simulations to Multivariate Integrated Process/Product Optimization." In WCMNM 2018 World Congress on Micro and Nano Manufacturing. Singapore: Research Publishing Services, 2018. http://dx.doi.org/10.3850/978-981-11-2728-1_18.

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Park, Keun, and Wonjong Joo. "Integrated Simulation of an Aspheric Lens Combining Injection Moulding Analysis with Ray Tracing." In MATERIALS PROCESSING AND DESIGN; Modeling, Simulation and Applications; NUMIFORM '07; Proceedings of the 9th International Conference on Numerical Methods in Industrial Forming Processes. AIP, 2007. http://dx.doi.org/10.1063/1.2740827.

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Gava, A., G. Tosello, H. N. Hansen, M. Salvador, and G. Lucchetta. "A New Approach For The Validation Of Filling Simulations In Micro Injection Moulding." In MATERIALS PROCESSING AND DESIGN; Modeling, Simulation and Applications; NUMIFORM '07; Proceedings of the 9th International Conference on Numerical Methods in Industrial Forming Processes. AIP, 2007. http://dx.doi.org/10.1063/1.2740829.

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Kong, X., C. Quinard, T. Barriere, J. C. Gelin, F. Barlat, Y. H. Moon, and M. G. Lee. "MICRO POWDER INJECTION MOULDING OF 316L STAINLESS STEEL FEEDSTOCK AND NUMERICAL SIMULATION OF THE SINTERING STAGE." In NUMIFORM 2010: Proceedings of the 10th International Conference on Numerical Methods in Industrial Forming Processes Dedicated to Professor O. C. Zienkiewicz (1921–2009). AIP, 2010. http://dx.doi.org/10.1063/1.3457598.

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Luo, Yun Mei, Luc Chevalier, and Françoise Utheza. "Modelling the Heat During the Injection Stretch Blowing Moulding: Infrared Heating and Blowing Modelling." In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82725.

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Effects of temperature: initial heating conditions or self heating during the process, are very important during the injection stretch blow moulding (ISBM) process of PET bottles. The mechanical characteristics of the final products, which are mainly controlled by the final thickness and the orientation of the molecular chains, depend strongly on the process temperature. Modelling the heat transfer during the ISBM process is therefore necessary. In the first part of this paper, an experimental study is presented in order to measure the initial temperature distribution and to identify the thermal properties of the PET. An infrared camera has been used to determine the surface temperature distribution of the PET sheets which are heated by infrared (IR) lamps. The Monte Carlo method is used to identify the parameters best fit from the temperature evolution. In the second part, a thermo-viscohyperelastic model is used to predict the PET behaviour, taking into account the strain rate and temperature dependence. A finite element approach implemented in matlab is used to achieve the numerical simulation.

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Reports on the topic "Injection moulding process simulation"

Sarkar, A. K., and P. S. Sarathi. Feasibility of steam injection process in a thin, low-permeability heavy oil reservoir of Arkansas -- a numerical simulation study. Office of Scientific and Technical Information (OSTI), December 1993. http://dx.doi.org/10.2172/10115261.

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