Abstract

Injection molding industry has evolved over decades and became the most common method to manufacture plastic parts. Monitoring and improvement in the injection molding industry are usually performed separately in each stage, i.e. mold design, mold making and injection molding process. However, in order to make a breakthrough and survive in the industrial revolution, all the stages in injection molding need to be linked and communicated witheachother.Anychangesinonestagewillcauseacertaineffectinotherstagebecausethere is a correlation between each other. Hence, the simulation should not only based on the input of historical data, but it also needs to include the current condition of equipment and prediction of future events in other stages to make the responsive decision. This can be achieved by implementing the concept of Digital Twin that models the entire process as a virtual model and enables bidirectional control with the physical process. This paper presented types of data and technology required to build the Digital Twin for the injection molding industry. The concept includes Digital Twin of each stage and integration of these Digital Twin model as a thoroughgoing model of the injection molding industry.

Keywords

Replication (statistics)Factory (object-oriented programming)ExcellenceManufacturing engineeringComputer scienceEngineeringPolitical scienceMathematics

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Publication Info

Year
2018
Type
article
Citations
1784
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Closed

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Vikas Bavane Prof. RajratnaKharat (2018). DIGITAL TWIN: MANUFACTURING EXCELLENCE THROUGH VIRTUAL FACTORY REPLICATION. Zenodo (CERN European Organization for Nuclear Research) . https://doi.org/10.5281/zenodo.1493930

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DOI
10.5281/zenodo.1493930

Data Quality

Data completeness: 77%