Numerical and experimental investigation on process parameters optimization in plastic injection molding for weldlines reduction and clamping force minimization

Kitayama, Satoshi; Tamada, Kanako; Takano, Masahiro; Aiba, Setsuya

doi:10.1007/s00170-018-2021-y

Cited by 28 publications

(9 citation statements)

References 42 publications

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“…Specifically, each factor has five levels. The reasons we selected those factors is referred to in several studies mentioned earlier [ 14 , 15 , 16 , 17 , 18 , 21 , 22 , 23 , 24 , 25 , 27 , 28 , 29 , 30 , 31 ]. The key operation parameters utilized in each reference are listed in Table 2 .…”

Section: Methodology and Materialsmentioning

confidence: 99%

“…Xu and Yang [ 28 ] combined the Taguchi method, neural networks, and grey correlation analysis (GCA) to solve the multi-objective optimization problem. Kitayama et al [ 29 ] applied a sequential approximate optimization (SAO) based on a CAE simulation to determine the optimal process parameters. They concluded that a multi-objective design optimization is effective for weld line reduction and clamping force minimization.…”

Section: Introductionmentioning

confidence: 99%

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A Methodology to Predict and Optimize Ease of Assembly for Injected Parts in a Family-Mold System

et al. 2021

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In this study, the assembly behavior for two injected components made by a family mold system were investigated. Specifically, a feasible method was proposed to evaluate the characteristic length of two components within a family mold system using numerical simulation and experimental validation. Results show that as the packing pressure increases, the product index (characteristic length) becomes worse. This tendency was consistent for both the simulation prediction and experimental observation. However, for the same operation condition setting through a basic test, there were some differences in the product index between the simulation prediction and experimental observation. Specifically, the product index difference of the experimental observation was 1.65 times over that of the simulation prediction. To realize that difference between simulation and experiment, a driving force index (DFI) based on the injection pressure history curve was proposed. Through the DFI investigation, the internal driving force of the experimental system was shown to be 1.59 times over that of the simulation. The DFI was further used as the basis for machine calibration. Furthermore, after finishing machine calibration, the integrated CAE and DOE (called CAE-DOE) strategy can optimize the ease of assembly up to 20%. The result was validated by experimental observation.

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Section: Methodology and Materialsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Methodology to Predict and Optimize Ease of Assembly for Injected Parts in a Family-Mold System

et al. 2021

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“…A good overview of the state-of-the-art concerning soft tooling in the context of tooling for injection molding is given by Dizon et al [ 17 ]. The aforementioned PBF AM technology is typically utilized to fabricate injection-molding tooling from metal powders and thereby allows for the incorporation of highly effective complex conformal cooling channels into the tooling [ 18 , 19 ]. This, in turn, offers the possibility of shortened injection-molding cycle times [ 20 ].…”

Section: Introductionmentioning

confidence: 99%

Feasibility Study of Soft Tooling Inserts for Injection Molding with Integrated Automated Slides

et al. 2021

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The production of injection-molding prototypes, e.g., molded interconnect devices (MID) prototypes, can be costly and time-consuming due to the process-specific inability to replace durable steel tooling with quicker fabricated aluminum tooling. Instead, additively manufactured soft tooling is a solution for the production of small quantities and prototypes, but producing complex parts with, e.g., undercuts, is avoided due to the necessity of additional soft tooling components. The integration of automated soft slides into soft tooling has not yet been investigated and poses a challenge for the design and endurance of the tooling. The presented study covers the design and injection-molding trial of soft tooling with integrated automated slides for the production of a complex MID prototype. The design further addresses issues like the alignment of the mold components and the sealing of the complex parting plane. The soft tooling was additively manufactured via digital light processing from a silica-filled photopolymer, and 10 proper parts were injection-molded from a laser-direct structurable glass fiber-filled PET+PBT material before the first damage on the tooling occurred. Although improvements are suggested to enhance the soft tooling durability, the designed features worked as intended and are generally transferable to other part geometries.

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“…Bunu sonucunda eş sıcaklık dağılımını elde etmek güçleşmekte ve ürün kalitesi düşmektedir. Belirtilen bu sorunun çözümü için şekil uyumlu soğutma kanalları kullanılmaktadır [10][11][12][13]. Şekil uyumlu soğutma kanalları plastik parçanın geometrisine uygun olarak tasarlanırlar ve kalıp boşluğunu belirli bir mesafe uzaklıkta düzgün bir şekilde takip ederler.…”

Section: Gi̇ri̇ş (Introduction)unclassified

Plastik Enjeksiyon Kalıplamada Şekil Uyumlu Soğutma Kanalları için Soğutma Sıvısı Akış Stratejilerinin Karşılaştırılması

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Güldaş

2021

Politeknik Dergisi

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Numerical and experimental investigation on process parameters optimization in plastic injection molding for weldlines reduction and clamping force minimization

Cited by 28 publications

References 42 publications

A Methodology to Predict and Optimize Ease of Assembly for Injected Parts in a Family-Mold System

A Methodology to Predict and Optimize Ease of Assembly for Injected Parts in a Family-Mold System

Feasibility Study of Soft Tooling Inserts for Injection Molding with Integrated Automated Slides

Plastik Enjeksiyon Kalıplamada Şekil Uyumlu Soğutma Kanalları için Soğutma Sıvısı Akış Stratejilerinin Karşılaştırılması

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