Effect of Process Parameters on Repeatability Precision of Weight for Microinjection Molding Products

Wang, Quan; Wang, JinRong; Yang, Chongying; Du, Kaihui; Zhu, Wenli; Zhang, Xiaoli

doi:10.1155/2019/2604878

Cited by 5 publications

(5 citation statements)

References 23 publications

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“…Cavity pressure has been found to be a reliable process indicator in injection molding, for both part quality and process monitoring [ 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 ]. Specifically, it has been found to provide real-time detection of part and process deviation.…”

Section: Introductionmentioning

confidence: 99%

“…The analysis indicates that the most important process data are gathered from in-mold sensors, where the acquired information is closest to the states of the polymer molding the final product. Wang et al [ 20 ] investigated the influence of mold temperature, melt temperature, packing pressure, packing time and peak cavity pressure, on the weight of micro-injection molding products, by the Taguchi orthogonal experiment. The experimental results show that the packing pressure increased from 85 MPa to 100 MPa, the weight of the tensile specimen increased from 0.544 g to 0.559 g, increased by 2.7%, and the weight of the impact specimen increased from 0.418 g to 0.425 g, increased by 1.7%.…”

Section: Introductionmentioning

confidence: 99%

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Research on Quality Characterization Method of Micro-Injection Products Based on Cavity Pressure

et al. 2021

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The cavity pressure in the injection molding process is closely related to the quality of the molded products, and is used for process monitoring and control, to upgrade the quality of the molded products. The experimental platform was built to carry out the cavity pressure experiment with a micro spline injection mold in the paper. The process parameters were changed, such as V/P switchover, mold temperature, melt temperature, packing pressure, and injection rate, in order to analyze the influence of the process parameters on the product weight. The peak cavity pressure and area under the pressure curve were the two attributes utilized in investigating the correlation between cavity pressure and part weight. The experimental results show that the later switchover allowed the injection to proceed longer and produce a heavier tensile specimen. By comparing different cavity pressure curves, the general shapes of the curves were able to indicate different types of shortage produced. When the V/P switchover position is 10 mm, the coefficient of determination (R2 value) of part weight, for the peak cavity pressure and area under the curve, were 0.7706 and 0.8565, respectively. This showed that the area under the curve appeared to be a better process and quality indicator than the peak cavity pressure.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on Quality Characterization Method of Micro-Injection Products Based on Cavity Pressure

et al. 2021

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“…It was noticeable that injection pressure had a slight effect on tablet weight. There was no significant difference in weight between injection-molded tablets produced at 30 bar and at 60 bar ( p = 0.2802); however, injection-molded tablet weight increased by 5 mg per 30 bar increase in injection pressure because of the greater amount of melt fill in the cavities with increasing pressure [ 43 ]. Figure 10 b shows the weight of the overprinted tablets.…”

Section: Resultsmentioning

confidence: 99%

Hybrid Manufacturing of Oral Solid Dosage Forms via Overprinting of Injection-Molded Tablet Substrates

Ebrahimi

Gong

et al. 2023

Pharmaceutics

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Since 3D printing allows for patient-specific dosage forms, it has become a major focus in pharmaceutical research. However, it is difficult to scale up drug product manufacturing. Injection molding has been used in conjunction with hot-melt extrusion to mass produce drug products, but making tailored solid dosage forms with this technology is neither cost-effective nor simple. This study explored the use of a combination of fused filament fabrication and injection molding to create patient-specific solid dosage forms. A tablet fixation and location template was used to overprint directly on injection-molded tablet bases, and theophylline was combined with polycaprolactone and Kollidon® VA64 via hot-melt extrusion to produce the filament. Dynamic mechanical analysis was used to evaluate the brittleness of the filament, and differential scanning calorimetry was used to analyze the thermal results. The results showed that theophylline had a flow promoting effect on the polymer blend and that overprinted tablets were manufactured faster than 3D-printed tablets. Drug release studies also showed that overprinted tablets released faster than injection-molded tablets. This method demonstrates the potential of hybrid manufacturing for the pharmaceutical industry as a means of bridging the gap between personalized dosage forms and mass production.

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“…[5][6][7] Nonetheless, some potential disturbances may occur and have an influence on the stabilization of the part weight. [8] Therefore, some researchers have adopted data analysis to achieve failure detection and maintenance prediction of injection molding machine. Pilla et al [9] use edge computing and cloud computing for machine learning by introducing the Industry 4.0 framework, to enable effective prediction and management of maintenance operations for injection molding equipment.…”

Section: Introductionmentioning

confidence: 99%

Study on the evaluation and compensating strategy for the wear damage of non‐return valve during injection molding process

Dang

et al. 2023

Polymer Engineering & Sci

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Injection molding (IM) is one of the most essential forming methods for plastics. However, some potential risks which influence part quality may occur in the molding process. A non-return valve (NRV) is a major component on the screw head whose function is to seal during the injection process to prevent the backflow of the melt. The NRV will wear in this process and cause fluctuations in parameters and quality but the wear states of NRVs cannot be monitored without the disassembly of the injection barrel. In this study, we proposed an optimization method to compensate for the wear damage of the NRVs. The V/P switchover point in each molding cycle was recalculated and output to stabilize the part quality. As a result, the wear damage of the NRV on the current machine was able to be predicted and the part quality could be initially optimized in the condition that the NRV had a degree of wear. The experimental results reveal that our proposed compensation algorithm can monitor the type of wear of NRV online, and at the same time, it can compensate the axial wear of NRV and finally improve the consistency of product weight, which established a fundamental for further research in the future.

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Effect of Process Parameters on Repeatability Precision of Weight for Microinjection Molding Products

Cited by 5 publications

References 23 publications

Research on Quality Characterization Method of Micro-Injection Products Based on Cavity Pressure

Research on Quality Characterization Method of Micro-Injection Products Based on Cavity Pressure

Hybrid Manufacturing of Oral Solid Dosage Forms via Overprinting of Injection-Molded Tablet Substrates

Study on the evaluation and compensating strategy for the wear damage of non‐return valve during injection molding process

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