Nozzle Pressure and Clamping Force Based Injection Molding Process Parameter Optimization and Adaptive Process Quality Control

Liou, Guan-Yan; Cheng, Feng-Jung; Su, Weijie; Hwang, Sheng-Jye; Peng, Hsin‐Shu; Chu, Hsiao-Yeh

doi:10.1109/icmt56556.2022.9997782

2022 25th International Conference on Mechatronics Technology (ICMT) 2022

DOI: 10.1109/icmt56556.2022.9997782

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Nozzle Pressure and Clamping Force Based Injection Molding Process Parameter Optimization and Adaptive Process Quality Control

Guan-Yan Liou

Feng-Jung Cheng

Weijie Su

et al.

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2024

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In‐mold rheology and automated process control for injection molding of recycled polypropylene

Krantz,

Nieduzak,

Licata

et al. 2024

Polymer Engineering & Sci

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Manufacturing plastic parts with secondary feedstocks has risen to the forefront of importance in recent years. However, the variation in molecular weight and rheology of secondary feedstock can lead to inconsistent part quality. This work evaluates the effectiveness of a novel closed‐loop adaptive process control system that adjusts nozzle pressure in response to in‐mold pressure data. Five different recycled polypropylene blends, with a broad distribution of flow properties, were evaluated to determine the effectiveness of the control system at reducing processing variation. The experimental results show that the process control strategy reduced the variation within the mold, as seen by in‐mold pressure curves and calculated in‐mold viscosity values. Additionally, the parameters that control the automated process adjustments were investigated, showing the importance of optimization. The analysis of the correlation between in‐mold rheology and mechanical properties showed a slight variation in the mechanical properties and parts weight with a coefficient of variation of under 5%. Overall, the results demonstrate the ability of pressure‐controlled molding and automated viscosity adjustment to reduce the variability when molding a secondary feedstock.Highlights Pressure‐controlled injection molding of recycled polypropylene. Automated closed‐loop adaptive process control methodology. Methodology resulted in a reduction in pressure variation during molding. Changes in mechanical properties and in‐mold viscosity were investigated. Results show the potential of pressure‐controlled molding at reducing variation.

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In‐mold rheology and automated process control for injection molding of recycled polypropylene

Krantz,

Nieduzak,

Licata

et al. 2024

Polymer Engineering & Sci

View full text Add to dashboard Cite

show abstract

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Nozzle Pressure and Clamping Force Based Injection Molding Process Parameter Optimization and Adaptive Process Quality Control

Cited by 1 publication

References 7 publications

In‐mold rheology and automated process control for injection molding of recycled polypropylene

In‐mold rheology and automated process control for injection molding of recycled polypropylene

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