Predictive system to recommend Injection mold setup in wireless - - PowerPoint PPT Presentation

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Predictive system to recommend Injection mold setup in wireless - - PowerPoint PPT Presentation

Sep 04, 2022 392 likes •456 views

Predictive system to recommend Injection mold setup in wireless sensor networks This project has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement No 636892 04/08/2015 1 PREDICTIVE

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04/08/2015 1 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 636892

Predictive system to recommend Injection mold setup in wireless sensor networks

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04/08/2015 2 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 636892

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PREDICTIVE SYSTEM TO RECOMMEND INJECTION MOLD SETUP IN WIRELESS SENSOR NETWORKS

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cavity pressure

Mould DNA

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Optimal machine pressure

Location based content delivery Data acquisition system Industrial Wireless Comms Advanced Predictive System Mould and Machine parameters Cloud-based computing Recommended setup parameters based on historical data

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04/08/2015 3 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 636892

GOALS

The goals of the PREVIEW project are to:

  • Design and develop a Data Acquisition

System responsible for the adaption, amplification and digitalisation of the cavity and machine signals.

  • Develop an Advanced Predictive System

(APS) to optimise the injection moulding process by reducing mould set up time and providing a quality control system.

  • Develop a robust Industrial Wireless

Network to transport sensor data to the APS server.

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04/08/2015 4 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 636892

EXPECTED BENEFITS

  • A reduction in mould setup

times

  • A reduction in scrap and energy

consumption

  • An increase in productivity and

flexibility with fast response against changes or new customer demands

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04/08/2015 5 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 636892

THE CONSORTIUM

UNI-GE (Coordination RTD-ES) END USERS LE-IL SME-ES SME-HU SME-NL SME-IT LE-UK EXPLOITATION

VALIDATION TECHNOLOGY

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04/08/2015 6 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 636892

GENERAL INFORMATION

Project Co-ordinator: Jesús Pablo González Eurecat email : jesuspablo.gonzalez@eurecat.org

Number of partners FoF-1-2014 CPS-based process

  • ptimisation of manufacturing

Duration 3 years Number of partners 8 Budget €3.2 million Website www.preview-project.eu