The dynamics of peak cavity pressure in injection molding

Haber, A.; Kamal, Musa R.

doi:10.1002/pen.760271810

Cited by 8 publications

(1 citation statement)

References 1 publication

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“…One of the first models to forecast the injection molding process was presented by Haber and Kamal. [ 17 ] The authors used the Box and Jenkins method to model the peak values of the cavity pressure in an injection molding process. The model was able to identify a second order autoregressive behavior on the peak pressure time series.…”

Section: Literature Reviewmentioning

confidence: 99%

A new approach to dynamic forecasting of cavity pressure and temperature throughout the injection molding process

Pabst

Souza

Brito

et al. 2022

Polymer Engineering & Sci

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The injection molding process is very sensitive to ordinary environmental alterations, as the numerical simulation is limited to within one injection cycle, and it cannot predict transient regimes. The present study presents a new approach based on SARIMAX models developed to predict the temperature and pressure inside the mold cavity. The proposed approach was developed in Python language, and it can identify the behavior of the process, allowing preventive actions. Experimental data of temperature and pressure obtained in real‐time inside an injection mold were accessed to use and to validate the proposed model. The results showed its efficiency and its high accuracy for predicting variations in temperature and pressure inside the mold, even when using a small number of samples to be trained. The proposed model can be very useful for monitoring the production of mechanical parts, under an Industry 4.0 environment. For future works, the model enables a contribution toward digital twins of a molded part, considering all the alteration on the parts' properties due to the disturbance on the injection molding process. Furthermore, it lays the groundwork for a new injection machine control system architecture.

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Section: Literature Reviewmentioning

confidence: 99%

A new approach to dynamic forecasting of cavity pressure and temperature throughout the injection molding process

Pabst

Souza

Brito

et al. 2022

Polymer Engineering & Sci

View full text Add to dashboard Cite

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Computer simulation and control for product quality in injection molding

Kamal

1996

Macromolecular Symposia

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The use of computers in plastics processing has continued to grow in parallel with rapid expansion of computer availability and computing power. One of the main areas of application is in computer simulation of the injection molding process where more demanding applications relate to the simulation of molding of complex‐shaped moldings. Recent development include the use of boundary fitted curvilinear coordinates, the incorporation of fountain flow, and the coupling of crystallization kinetics within the transport equations. Applications in computer control relate to the control of pressure and temperature throughout the injection molding process, self‐tuning control, physically‐based dynamic models, and the control of properties of the molding, e.g. the weight of the article. Recent developments relate to the application of inverse modeling. An example is given of the use of inverse modeling of thermal stresses to predict or optimize thermal or pressure history during molding.

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Dynamic modeling of the mold filling process in an injection molding machine

Chiu

Shih

Wei

1991

Polymer Engineering & Sci

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This paper presents the development of a nonlinear mathematical model for the study of the mold filling process in an injection molding machine. The model is formulated by the Reynolds transport theorem which is applied to describe the polymer flow dynamics. The mold filling process can be approximated by the transient phenomenon of the non‐Newtonian fluids flowing through a closed conduit. The comparison between the experimental results and the theoretical simulation indicate that the nonlinear model is a reasonable representation of the mold filling dynamics when the acrylonitrile‐butadiene‐styrene (ABS) is injected into a disk shape mold. The actuation system dynamics of an injection molding machine are also investigated. The results indicate that the nonlinear model can also adequately predict the transient behavior of the actuation system.

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The dynamics of peak cavity pressure in injection molding

Cited by 8 publications

References 1 publication

A new approach to dynamic forecasting of cavity pressure and temperature throughout the injection molding process

A new approach to dynamic forecasting of cavity pressure and temperature throughout the injection molding process

Computer simulation and control for product quality in injection molding

Dynamic modeling of the mold filling process in an injection molding machine

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