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1996
DOI: 10.1002/aic.690420622
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Study of polymer melt flow in sequential injection molding process

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Cited by 13 publications
(10 citation statements)
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References 14 publications
(26 reference statements)
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“…Figure 7 shows velocity vectors of polymer melts on the x À y plane. It can be clearly seen that the velocity around the inner corners (green circles) is greater than for other corners (red circles), which is in accordance with the results of Chen et al [3] The velocity vectors and the temperature distributions of polymer melts are shown together in Figure 8. It can be seen that the temperatures around the inner corners are higher than for other corners.…”
Section: Validation: Scim Of a Cavity With A Block Insertsupporting
confidence: 88%
“…Figure 7 shows velocity vectors of polymer melts on the x À y plane. It can be clearly seen that the velocity around the inner corners (green circles) is greater than for other corners (red circles), which is in accordance with the results of Chen et al [3] The velocity vectors and the temperature distributions of polymer melts are shown together in Figure 8. It can be seen that the temperatures around the inner corners are higher than for other corners.…”
Section: Validation: Scim Of a Cavity With A Block Insertsupporting
confidence: 88%
“…The successful predictions of 374 Brought to you by | Purdue University Libraries Authenticated Download Date | 6/14/15 12:57 PMcurved melt flow front patterns and more symmetrical flow evolution with respect to the cavity centerline at lower values of runner-to-gate diameter ratio demonstrate a very good agreement with the instantaneous filling patterns of polymer melt flow obtained from the experimental study ofChen et al (1996). .…”
supporting
confidence: 65%
“…Since the standard applications of the present fluid flow solver does not provide a very complete solution of polymer melt flow in simulating injection molding process (due to numerical restrictions in changes of viscosity, compressibility and moving interface), a more reliable numerical model, which introduces user defined functions (macros written in C++ programming language) into the present standard VOF formulation to account for the changes in viscosity, density and air-melt flow interface, is developed. The capabilities of the proposed numerical model in simulating mold insert injection molding processes are then assessed in comparison with the experimental data (Behrens, 1983;Chen et al, 1996) As summarized in Table 4, filling stage of mold insert injection molding is simulated with different mesh resolutions, geometric dimensions (runnerto-gate diameter ratios) and phase change effects. A set of three different gate diameters, ranging from 0.5 mm to 0.75 mm, are used for a pre-selected runner diameter of 2 mm to study effects of runner-to-gate diameter ratios The capability of the proposed numerical methodology for predicting basic flow features such as evolution of melt flow front shape, 3-D effects, fountain flow, and curved shape of polymer melt flow front are initially verified with the experimental data and Moldflow MPI 3-D model as illustrated in Figures.…”
Section: Resultsmentioning
confidence: 99%
“…Modeling of the coinjection‐molding process is a relatively recent undertaking. A few numerical simulations of the coinjection‐molding process have been attempted 9–24. All these efforts were based on the use of the Hele–Shaw approximation to predict the interface evolution between the skin and core materials during filling for sequential coinjection, with the exception of Lee et.…”
Section: Introductionmentioning
confidence: 99%
“…Also, no detailed explanation of this residence time approach was given in their articles 12–16. Chen et al17–19 also developed a simulation program. Theirs was based on a dual‐filling‐parameter particle‐tracing scheme employed within each grid layer in the gapwise direction to trace the advance of the melt fronts for both the skin and core materials during the sequential coinjection process.…”
Section: Introductionmentioning
confidence: 99%