Computer simulation of transport processes during injection mold-filling and optimization of the molding conditions

Kumar, Amit; Ghoshdastidar, P. S.; Muju, M.K.

doi:10.1016/s0924-0136(01)01211-0

Cited by 33 publications

(14 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Huang and Fadel 119 used 2D transient FEM simulations to optimize the use of mold materials according to part temperature uniformity or cycle time. Kumar et al 120 presented the optimization of the molding conditions based on the simulation results for the nonisothermal mold-filling and an empirical relation predicting cooling time. The results obtained are in agreement with the analytical solutions, and the optimization study was able to provide a way to select which type of material was recommended to produce the part.…”

Section: Application Of Numerical Simulation Approachmentioning

confidence: 99%

Modeling and Optimization of the Injection‐Molding Process: A Review

et al. 2016

View full text Add to dashboard Cite

ABSTRACT:The purpose of this article is to review the research done in the field of mathematical modeling and optimization of the injection-molding (IM) process. Various papers related to the mathematical description of the filling, postfilling, and plasticating phases of the IM process were assessed, and some recent advances on the IM field are described. In addition, research devoted to the optimization of the IM process based on various techniques is also discussed. These optimization techniques include design of experiments, artificial neural networks, and evolutionary algorithms. The strengths and weaknesses of each approach were discussed. Finally, this paper also discusses the optimization research performed in the IM process regarding some of the specific features associated with the processes such as runner system and cooling channel configurations, process conditions, gate location, and cavity pressure balancing. C

show abstract

Section: Application Of Numerical Simulation Approachmentioning

confidence: 99%

Modeling and Optimization of the Injection‐Molding Process: A Review

et al. 2016

View full text Add to dashboard Cite

show abstract

“…The solution is obtained by inverting the operator on the left-hand side of Eq. (10). In order to reduce the computational effort in the numerical solution of the system of equations, the approximate factorization technique [17] is introduced.…”

Section: Numerical Modelingmentioning

confidence: 99%

“…This approach reached widespread acceptance and gave rise to well-known and successful commercial packages [3,4], which have been used not only in the industrial environment, but also in some research settings [5,6]. In academia, the Hele-Shaw approximation still instigated discussions, such as recent works on the mathematical modeling itself [7], rheological aspects [8], gas-assisted injection molding [9], and mold-filling optimization [10,11].…”

Section: Introductionmentioning

confidence: 99%

Polymer Melt Flow in Plane Channels: Effects of the Viscous Dissipation and Axial Heat Conduction

Zdanski

Vaz

2006

Numerical Heat Transfer, Part A: Applications

View full text Add to dashboard Cite

The plastic transforming industry has shown considerable growth in the last years. In this context, commercial simulators have been developed, some of which combine simplified mathematical models with rheological properties of commercial polymers. In spite of the successes, these approximations are not able to capture important details of the flow behavior. The present work addresses some aspects of the polymer melt flow in plane channels using a more elaborate mathematical formulation based on the full momentum and energy conservation laws. The physical equations are discretized using finite differences based on a collocated mesh and second-order spatial accuracy formulas. Solutions featuring the development of hydrodynamic and thermal boundary layers are presented for a commercial polymer.

show abstract

“…To improve the cycle time and the warpage simultaneously, process parameters such as melt temperature, packing pressure, packing time, injection time, and cooling time should be optimized. To determine the optimal process parameters in the PIM, computer-aided engineering (CAE) is widely used and is recognized as one of the powerful tools available [1][2][3]. The numerical simulation in the PIM is so intensive that response surface approach is valid to determine the optimal process parameters.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of injection molding process parameters for short cycle time and warpage reduction using conformal cooling channel

Kitayama

Miyakawa

Takano

et al. 2016

Int J Adv Manuf Technol

119

View full text Add to dashboard Cite

In this paper, cooling performance of conformal cooling channel in plastic injection molding (PIM) is numerically and experimentally examined. To examine the cooling performance, cycle time and warpage are considered. Melt temperature, injection time, packing pressure, packing time, cooling time, and cooling temperature are taken as the design variables. A multi-objective optimization of the process parameters is then performed. First, the process parameters of conformal cooling channel are optimized. Numerical simulation in the PIM is so intensive that a sequential approximate optimization using a radial basis function network is used to identify a pareto-frontier. It is found from the numerical result that the cooling performance of conformal cooling channel is much improved, compared to the conventional cooling channel. Based on the numerical result, the conformal cooling channel is developed by using additive manufacturing technology. The experiment is then carried out to examine the validity of the conformal cooling channel. Through numerical and experimental result, it is confirmed that the conformal cooling channel is effective to the short cycle time and the warpage reduction.

show abstract

Computer simulation of transport processes during injection mold-filling and optimization of the molding conditions

Cited by 33 publications

References 7 publications

Modeling and Optimization of the Injection‐Molding Process: A Review

Modeling and Optimization of the Injection‐Molding Process: A Review

Polymer Melt Flow in Plane Channels: Effects of the Viscous Dissipation and Axial Heat Conduction

Multi-objective optimization of injection molding process parameters for short cycle time and warpage reduction using conformal cooling channel

Contact Info

Product

Resources

About