Time series data for process monitoring in injection molding: a quantitative study of the benefits of a high sampling rate
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Lucas Bogedale
,
Alexander Schrodt
und
Hans-Peter Heim
Abstract
Process monitoring systems are playing an increasingly important role in reducing production capacity losses in injection molding. Process monitoring and optimization systems are mostly based on processing data of injection molding machine control systems. These data consist of scalar data and time series. This paper introduces a novel approach to modelling injection molding processes using only time series data and evaluates the quantitative influences of varying sampling times on calculation of integral values and model quality. On the basis of the first experiment, it is shown that the sampling rates of these time series have a large influence on information which can be derived from this data (e.g. injection work). These findings provide an assessment of whether the effort is justified for the respective requirements on the accuracy of the injection work and other parameters derived from the time series. In the second experiment, a model is presented which uses only the injection flow and injection pressure profile as input and achieves high coefficients of determination for the prediction of the part weight, despite the absence of mold sensor data and scalar data. It is shown that higher sampling rates of time series results in higher prediction quality of these models. This improves the understanding of the data needed for high quality machine learning models of injection molding processes and enable users to estimate a lower bound for the sample rates of time series for their use cases.
Acknowledgment
Parts of this project (HA project no. 864/20–21) were financed with funds of LOEWE – Landes-Offensive zur Entwicklung Wissenschaftlich-ökonomischer Exzellenz, Förderlinie 3: KMU-Verbundvorhaben (State Offensive for the Development of Scientific and Economic Excellence).
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: None declared.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
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© 2023 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Influence of process parameters of a continuous final mixer on the properties of carbon black/rubber composites
- Time series data for process monitoring in injection molding: a quantitative study of the benefits of a high sampling rate
- Vibration damping properties of graphene nanoplatelets filled glass/carbon fiber hybrid composites
- Optical and temperature dependent electrical properties of poly (vinyl chloride)/copper alumina nanocomposites for optoelectronic devices
- Numerical visualization of extensional flows in injection molding of polymer melts
- Thermal, mechanical and dielectric properties of glass fiber reinforced epoxy-lanthanum manganite nanocomposites
- Statistical research on the mixing properties of wave based screws by numerical simulations
- Influence of mold cavity thickness on electrical, morphological and thermal properties of polypropylene/carbon micromoldings
- Development of a prototype for the rubber latex industry to detect dry rubber content of fresh natural rubber latex using a novel measurement system with proton-electron transfer
- Effect of molding history on molecular orientation relaxation during physical aging of polystyrene injection moldings
- A comparative analysis of the effect of post production treatments and layer thickness on tensile and impact properties of additively manufactured polymers
- Fabrication of flame-retardant and smoke-suppressant rigid polyurethane foam modified by hydrolyzed keratin
- Study on flame retardancy and thermal stability of rigid polyurethane foams modified by amino trimethylphosphonate cobalt and expandable graphite
- Three-dimensional simulation of capillary rheometry for an estimation of extensional viscosity
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Influence of process parameters of a continuous final mixer on the properties of carbon black/rubber composites
- Time series data for process monitoring in injection molding: a quantitative study of the benefits of a high sampling rate
- Vibration damping properties of graphene nanoplatelets filled glass/carbon fiber hybrid composites
- Optical and temperature dependent electrical properties of poly (vinyl chloride)/copper alumina nanocomposites for optoelectronic devices
- Numerical visualization of extensional flows in injection molding of polymer melts
- Thermal, mechanical and dielectric properties of glass fiber reinforced epoxy-lanthanum manganite nanocomposites
- Statistical research on the mixing properties of wave based screws by numerical simulations
- Influence of mold cavity thickness on electrical, morphological and thermal properties of polypropylene/carbon micromoldings
- Development of a prototype for the rubber latex industry to detect dry rubber content of fresh natural rubber latex using a novel measurement system with proton-electron transfer
- Effect of molding history on molecular orientation relaxation during physical aging of polystyrene injection moldings
- A comparative analysis of the effect of post production treatments and layer thickness on tensile and impact properties of additively manufactured polymers
- Fabrication of flame-retardant and smoke-suppressant rigid polyurethane foam modified by hydrolyzed keratin
- Study on flame retardancy and thermal stability of rigid polyurethane foams modified by amino trimethylphosphonate cobalt and expandable graphite
- Three-dimensional simulation of capillary rheometry for an estimation of extensional viscosity
