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Design of Experiments for Injection Molding
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Injection molders must be able to quickly identify the optimal setpoints for molding process variables in order to meet customer performance requirements for dimensions and part appearance. The complexity of this task grows exponentially as the number of customer critical characteristics increases. Trial and error approaches are highly inefficient in these situations. Simple experimental design approaches combined with readily available software will dramatically increase your efficiency and effectiveness in finding optimal processing setpoints.

The following is an outline of the various topics covered in this 2 day course:

  • Day 1
    • Goals, expectations, Introductions
    • The Unique Challenges Facing Injection Molding
    • Linking Experimental Design with Process Validation, 6 Sigma, and QS-9000
    • How Experimental Design Links with Scientific Molding
    • What to do Before Conducting any Experiments
    • What is Experimental Design?
      • Factors (process conditions)
      • Levels. Ranges of Interest
      • Responses (customer requirements)
    • What are the Benefits?
      • Test Time Reduction
      • Understanding Relationships
    • Case Studies from Injection Molding
    • What are the Steps?
      • Planning
      • Determining Tests
      • Conducting Tests
      • Analysis
      • Confirmation
    • Tabled Orthogonal Arrays
  • Day 2
    • Using Technical Knowledge and the Internet to Select Starting Points
    • Graphical Analysis
      • Bar Charts (Pareto)
      • Main Effect Plots
      • Contour Plots, 3-D Plots
    • How to Get Started with Applications at Your Facility
    • Statistical Analysis (user software)
      • ANOVA
      • MLR
      • Prediction Equations
    • D-optimal Designs
    • Co-optimization of Multiple Customer Requirements
    • Group Exercise Using and Injection Molding Process
    • What are the benefits of these techniques?
    • Using experimental design for success
    • Fundamental terminology
    • Basic concepts of setup and analysis
    • Experimental objectives
          -Screening
          -Troubleshooting
          -Robustness
          -Modeling
    • Examples of successful applications
    • What is an orthogonal array?
    • Benefits of orthogonal arrays
    • What are the steps in successful experimentation?
    • Selection of technology related responses
    • Full-factorial, fractional factorials, and Plackett-Burman arrays
    • Design Resolution
    • Taguchi tabled arrays

Fees: $1995 includes the text Design of Experiments for Injection Molding, Student Version of DOE Wisdom Software, and Participant Guide. Lunch and coffee breaks are provided each day.

$2695 includes all of the above plus the full version of DOE Wisdom Software (a $200 discount).

Using practical, hands-on applications, learn from the experts in Experimental Design how to successfully blend the best of Japanese and Western techniques.

Register Early - class sizes are limited for optimal interaction and instruction.

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