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

Slides:



Advertisements
Similar presentations
Multidisciplinary Optimization of Composite Laminates with Resin Transfer Molding Chung-Hae PARK.
Advertisements

A Company Overview PROPRIETARY + CONFIDENTIAL + PATENTS PENDING Technology by Globe Machine Manufacturing Company Presentation to: University of Washington,
FASTAHEAD Project- Implementation of Key Activities Modules of MSc (Advanced Design & Manufacture)- 13 Modules Developed 1.Design management and prediction;
UNIT 16: Extrusion and Injection moulding Manufacturing Engineering Unit 16 Copyright © 2012 MDIS. All rights reserved. 1.
Manufacturing Products
Damage and Optimization Models for Analysis and Design of Discontinuous Fiber Composite Structures Ba Nghiep Nguyen Acknowledgements: PNNL’s Computational.
DESIGN & CAE ACTIVITY Montecarlo, June CAE Design approach to develop applicative solutions in automotive polymer based systems CAE Design approach.
CAE Simulation software provides tools that help manufacturers validate and optimize the design of plastic parts and injection molds by accurately predicting.
© 2011 Autodesk Autodesk® Moldflow® as an Integral Part of Numerical Part Optimization Andreas Wüst, BASF SE Teamleader Num. Optimization and Crash Analysis.
Department of Mechanical Engineering University of South Alabama
TITLE: ENERGY ANALYSIS IN PLASTIC INJECTION MOLDING MACHINE TEAM: DYNAMITE UNIVERSITI UTARA MALAYSIA Choo Chi Sien (Leader) Chew Lim Sim Ooi Chung Pang.
SHAPING PROCESSES FOR PLASTICS Chapter 13- Part 2 Injection Molding
Welcome to Bamar Plastics, Inc S. Robinson St., South Bend, IN (574) Phone, (574) Fax First in Class:
Multiply complex numbers
Advanced Manufacturing Laboratory Department of Industrial Engineering Sharif University of Technology Session # 12.
Self-Regulating Melt Valves for Polymer Processing David Kazmer May 12, 2005 National Plastics Center.
Industrial Engineering Program King Saud University
P. H. Foss GM Research and Development Performance Modeling of Polymer Composites Pete Foss Materials and Processes Lab General Motors Research and Development.
Optimal Design for Molded Composite Products and Processes Douglas E. Smith University of Missouri at Columbia NSF/DOE/APC Workshop Future of Modeling.
INDUSTRIAL & SYSTEMS ENGINEERING
Milestones: Sensors, Control and Automation Group NSF/DOE/APC Workshop: The Future of Modeling in Composites Molding Processes June 9-10, 2004.
Modeling of Natural Fiber- Thermoplastic Composites Manufactured with Molding Processes Laurent Matuana Workshop: Future of Modeling in Composites Molding.
Presentation Summary: Design and Optimization Group NSF/DOE/APC Workshop: The Future of Modeling in Composites Molding Processes June 9-10, 2004.
JMG NSF/DOE/APC Future of Modeling in Composites Molding Processes Workshop Sensing, Controls and Automation Group June 9-10, 2004 John M. Griffith.
NSF/DOE/APC Future Modeling in Composites Molding Processes Workshop John P. Coulter Professor and Associate Dean P.C. Rossin College of Engineering and.
A Data Driven Approach to Attaining 100% Automatic Quality Assurance David Kazmer Univ. Mass. Lowell 06-Apr-06.
Mgw DELPHI RESEARCH LABS DELPHI RESEARCH AREAS u SHORT FIBER REINFORCED THERMOPLASTICS –Fiber orientation and length distribution measurements and predictions.
NSF/DOE/APC Workshop - Future of Modeling in Composites Molding Processes June 9 and 10, 2004 Glancey – SCA Group 9 and 10 June 2004 Automation and Control.
Advanced Manufacturing Laboratory Department of Industrial Engineering Sharif University of Technology Session # 15.
1)Be able to apply the quotient of powers property. 2)Be able to apply the power of a quotient property. 3)Be able to apply the multiplication properties.
Brite Group An evolution in plastics BRIGHT BROTHERS LIMITED.
Unit 3b Industrial Control Systems
Co-op Presentation Patrick Willoughby Three Rotations with Bayer Corporation: First – New Martinsville Plant, West Virginia Second and Third – Innovative.
Goal: Understand the stages in design process and the role of computer aided design. Objectives: After this chapter, you should understand the following.
RAUL RAMOS JOSHUA TORREY DAVID SANCHEZJESUS LUNA MONITORS PARKING SPACES AUTOMATICALLY AND SENDS STATUS NOTIFICATIONS TO PATROL OFFICERS Automatic Monitoring.
The A380, Leader on Manufacturing technology FARNBOROUGH 20 th /21 st July 2004 Neil HARRIS Presented by.
MANUFACTURING 5.5 The Designed World / Manufacturing Technologies E6. Identify key aspects of manufacturing systems that use mechanical processes.
Characterization of Raw Material Properties for Optimum LCM Processing Chuck Zhang Florida Advanced Center for Composite Technologies (FAC 2 T) Florida.
 Multiply rational expressions.  Use the same properties to multiply and divide rational expressions as you would with numerical fractions.
Composite Materials Manufacturing Composite Materials Manufacturing 정분방.
Injection Molding Plastics Tech 1. Composition of Plastics Lesson Essential Question: What is injection molding & how do we achieve part fabrication from.
Modeling & Manufacturing Using Alpha_1
Example 1 Multiplying Fractions a. 5 2 – 3 2 – Use rule for multiplying fractions. = 2 – () 2 – 5 3 Use rule for multiplying fractions. = – 5 Evaluate.
The Distributive Property
Operations of Functions Given two functions  and g, then for all values of x for which both  (x) and g (x) are defined, the functions  + g,
Programmable Logic Controller & Distributed Control System Yoon-Je Choi 17 th June 2006.
FIBERIM TM 14/03/00 New Materials for Variable Fiber Injection David Gibala Andreas Rothacker New Plastics 2000 Conference Brussels, Belgium March 14,
IPAN 4th Project Meeting Lisbon, 10th until 14th of March 2014 …teacher Workshop 2.
UNDERSTANDING THE PROCESS.  THE FIRST STEP is usually drying the plastic material. most plastics have to be heated to a certain temperature for a.
PXD meeting, 22 June 2011 New omega shape and fibers irradiation D. Moya, I. Vila, A. L. Virto, F.J. Muñoz, J. Duarte Instituto de Física de Cantabria.
PLASTIC INJECTION MOLDING
Distributive Property
The Internet of Things (IoT) and Analytics
Injection Molding Brian Bullecks.
Bulk and Sheet Metal Forming
Week 13 COMPUTER INTEGRATED MANUFACTURING SYSTEM (CIMS)
Injection Molding Plastics Tech 1.
Injection mold specification
INJECTION MOLD DESIGN PDT 317
Gas-Lift Breakout Sessions Fall 2003 Gas-Lift Workshop
Evaluating expressions and Properties of operations
Presented By: Darlene Banta
Warm Up #3 Find the exact value. 2. –√ √49 ANSWER –12 7 ANSWER
Injection mold specification
Esaote S.p.A., Italy Lorenzo Spicci and Marco Cati
Simplify by combining like terms
Injection mold specification
Distributive Property
Chapter 2: Development process and organizations
Algorithms Lecture # 26 Dr. Sohail Aslam.
Presentation transcript:

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

NSF/DOE/APC Future of Modeling in Composites Molding Processes Workshop June 9-10, 2004 Business of Injection Molding Part DesignMold DesignProductionMold Build Multifaceted complex business model & physics Problems found at process end Assembly & Distribution

NSF/DOE/APC Future of Modeling in Composites Molding Processes Workshop June 9-10, 2004 Moldflow Product Families Design Optimization Solutions

NSF/DOE/APC Future of Modeling in Composites Molding Processes Workshop June 9-10, 2004 Moldflow Product Families Manufacturing Solutions

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

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

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