The Elastic Mold Deformation During the Filling and Packing Stage of the Injection Molding Process

Kleindel, Stefan; Eder, Roland; Schretter, Herwig; Hochenauer, Christoph

doi:10.1080/23080477.2014.11665603

Cited by 4 publications

(2 citation statements)

References 29 publications

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“…This work presents a novel method for simulating the structural deformation of hot runner systems. While previous studies have explored deformation in injection molds [ 4 , 5 , 6 , 7 ], there is limited research on the deformation of hot runner systems. Notably, only one study found has addressed nozzle deformation [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Deformation in Hot Runner Manifold

Jung

Kim

2023

Micromachines

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This study simulated the deformation of a hot runner manifold and nozzle assembly during operation, aiming to address potential leaks and premature failure. Both thermal and mechanical models were used simultaneously to accurately capture system behavior. A simplified set of boundary conditions was proposed for efficient problem-solving. Analysis of the simulation results revealed that thermal deformation posed a risk of catastrophic failures and leaks. Deformation from melt pressure was relatively small compared to thermal loading, not exceeding 12%. The study provided design recommendations based on the simulation findings, guiding the development of hot runner systems for improved reliability.

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Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Deformation in Hot Runner Manifold

Jung

Kim

2023

Micromachines

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“…As example of the methodology, we choose to optimize the heat transfer coefficients during filling and packing as well as the pressure-dependency coefficient in the Cross-WLF viscosity model [15,16]. The previous parameters are known to affect the pressure results in the simulation and in addition their experimental determination is challenging and time-consuming [17][18][19]. It is important to state that there exist additional parameters affecting the pressure field evolution in state-ofthe-art injection molding simulation such as the pressuredependency coefficient b 6 in the two-domain Tait PVT model and the value of the transition temperature, which corresponds to the solidification criterion.…”

Section: Introductionmentioning

confidence: 99%

Towards an accurate pressure estimation in injection molding simulation using surrogate modeling

et al. 2022

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The computational cost of high-fidelity injection molding simulations has been growing in the past years making it more and more challenging to use them for performing analyses such as optimizations or uncertainty quantification. Surrogate modeling offers a cheaper way to realize such studies and has been gaining attention in the field of injection molding simulation. In this work, we propose to compare three surrogate modeling techniques along with two design of experiment methods in their ability to predict the pressure signal at a surface node in a Moldflow simulation by varying process and modeling parameters. A Sobol sensitivity analysis is performed to study the contribution of the varied parameters on the pressure results. In addition, one of the generated models is used along with experimental pressure sensor data to improve the pressure estimation by calibrating the heat transfer coefficients during filling and packing as well as the pressure-dependency coefficient in the Cross-WLF viscosity model. This resulted in major improvements of the pressure predictions for all 27 considered cases in comparison to using the default heat transfer coefficients and viscosity model parameter.

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Development of an Injection Mold for Liquid Silicone Rubber Using Rapid Tooling Technology

Kuo

Lin

2019

Smart Science

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The Elastic Mold Deformation During the Filling and Packing Stage of the Injection Molding Process

Cited by 4 publications

References 29 publications

Numerical Simulation of Deformation in Hot Runner Manifold

Numerical Simulation of Deformation in Hot Runner Manifold

Towards an accurate pressure estimation in injection molding simulation using surrogate modeling

Development of an Injection Mold for Liquid Silicone Rubber Using Rapid Tooling Technology

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