Sensors, Controls and Automation

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NSF/DOE/APC Future of Modeling in Composites Molding Processes Workshop June 9-10, 2004 Sensors, Controls and Automation Peter Kennedy Chief Technology Officer Moldflow Corporation

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Sensors, Controls and Automation. Peter Kennedy Chief Technology Officer Moldflow Corporation. Business of Injection Molding. Problems found at process end. Assembly & Distribution. Part Design. Mold Design. Mold Build. Production. Multifaceted complex business model & physics. - PowerPoint PPT Presentation

Transcript of Sensors, Controls and Automation

Page 1: Sensors, Controls and Automation

NSF/DOE/APC Future of Modeling in Composites Molding Processes Workshop June 9-10, 2004

Sensors, Controls and Automation

Peter KennedyChief Technology Officer

Moldflow Corporation

Page 2: Sensors, Controls and Automation

NSF/DOE/APC Future of Modeling in Composites Molding Processes Workshop June 9-10, 2004

Business of Injection Molding

Part Design Mold Design ProductionMold Build

Multifaceted complex business model & physics

Problems found at process end

Assembly&

Distribution

Page 3: Sensors, Controls and Automation

NSF/DOE/APC Future of Modeling in Composites Molding Processes Workshop June 9-10, 2004

Moldflow Product Families

Design Optimization

Solutions

Page 4: Sensors, Controls and Automation

NSF/DOE/APC Future of Modeling in Composites Molding Processes Workshop June 9-10, 2004

Moldflow Product Families

ManufacturingSolutions

Page 5: Sensors, Controls and Automation

NSF/DOE/APC Future of Modeling in Composites Molding Processes Workshop June 9-10, 2004

Process Optimization and Production Monitoring System

• Systematic process to set up and optimize injection molding machine

• Process monitoring and correction

• Production monitoring of discrete data

• Resource scheduling• SPC & SQC• Web-based reports• ERP integration

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NSF/DOE/APC Future of Modeling in Composites Molding Processes Workshop June 9-10, 2004

Systematic Process Set Up and Optimization

• Monitor machine– Pressure sensor

• In-cavity• At barrel• Hydraulic

– Ram Displacement– Machine data

• Set up and Optimize then Monitor– Uses simplified simulation algorithms

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NSF/DOE/APC Future of Modeling in Composites Molding Processes Workshop June 9-10, 2004

Opportunities• Apply set up technology to composites

– RTM– Long glass fiber

• Plastication• Gate and mold design

• Develop numerical simulation models for processing and final properties– Use to define control systems for processors

• New Sensors for Composites– e.g. ultrasound, impedance http://www.signaturecontrol.com/)