A Computer-Aided Optimization Approach for the Design of Injection Mold Cooling Systems

Tang, Li Qiang; Pochiraju, Kishore; Chassapis, Constantin; Manoochehri, Souran

doi:10.1115/1.2826955

Cited by 32 publications

(20 citation statements)

References 7 publications

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“…Douglas et al 111 are the first to design a mold by combining polymer process modeling, design sensitivity analysis, and numerical optimization. Tang et al 112,113 used 2D transient FEM simulations coupled with a Powell's optimization scheme to optimize the cooling channel geometry to get uniform temperature distribution in the polymeric part. Park and Kwon 114 developed 2D and 3D stationary boundary element method (BEM) simulations in the injection molds coupled with 1D transient analytical computation in the polymer part (through the thickness).…”

Section: Application Of Numerical Simulation Approachmentioning

confidence: 99%

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

et al. 2016

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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

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Section: Application Of Numerical Simulation Approachmentioning

confidence: 99%

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

et al. 2016

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“…Tang et al [4] used an optimization process to obtain a uniform temperature distribution in the part which gives the smallest gradient and the minimal cooling time.…”

Section: Optimization Techniques In Mouldingmentioning

confidence: 99%

A Methodology for the Design of Effective Cooling System in Injection Moulding

et al. 2010

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In thermoplastic injection moulding, part quality and cycle time depend strongly on the cooling stage. Numerous strategies have been investigated in order to determine the cooling conditions which minimize undesired defects such as warpage and differential shrinkage. In this paper we propose a methodology for the optimal design of the cooling system. Based on geometrical analysis, the cooling line is defined by using conformal cooling concept. It defines the locations of the cooling channels. We only focus on the distribution and intensity of the fluid temperature along the cooling line which is here fixed. We formulate the determination of this temperature distribution, as the minimization of an objective function composed of two terms. It is shown how this two antagonist terms have to be weighted to make the best compromise. The expected result is an improvement of the part quality in terms of shrinkage and warpage.

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“…The steady state temperature field satisfies Laplace's equation ∇ 2 T = 0 and the time-averaged boundary conditions. The boundary conditions on the mold surfaces are described in detail by Tang et al [9]. As for the mechanical boundary conditions, the cavity surface is subjected to the melt pressure, the surfaces of the mold connected to the worktable are fixed in space, and other external surfaces are assumed to be stress free.…”

Section: Structural Analysis Of the Moldmentioning

confidence: 99%

Integrated simulation of the injection molding process with stereolithography molds

Zhou

2005

Int J Adv Manuf Technol

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Functional parts are needed for design verification testing, field trials, customer evaluation, and production planning. By eliminating multiple steps, the creation of the injection mold directly by a rapid prototyping (RP) process holds the best promise of reducing the time and cost needed to mold low-volume quantities of parts. The potential of this integration of injection molding with RP has been demonstrated many times. What is missing is the fundamental understanding of how the modifications to the mold material and RP manufacturing process impact both the mold design and the injection molding process. In addition, numerical simulation techniques have now become helpful tools of mold designers and process engineers for traditional injection molding. But all current simulation packages for conventional injection molding are no longer applicable to this new type of injection molds, mainly because the property of the mold material changes greatly. In this paper, an integrated approach to accomplish a numerical simulation of injection molding into rapid-prototyped molds is established and a corresponding simulation system is developed. Comparisons with experimental results are employed for verification, which show that the present scheme is well suited to handle RP fabricated stereolithography (SL) molds.

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A Computer-Aided Optimization Approach for the Design of Injection Mold Cooling Systems

Cited by 32 publications

References 7 publications

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

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

A Methodology for the Design of Effective Cooling System in Injection Moulding

Integrated simulation of the injection molding process with stereolithography molds

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