Goals of this Course:

    • Provides an overview of how to design an experiment
    • Explores various DOE techniques
    • Explains how to collect and analyze the data using real-world molding examples
    • Analyzes how data is used to characterize, optimize and troubleshoot an injection molding process
    • Explains common DOE terminology

    Design of Experiments for Injection Molding was produced in cooperation with leading Design of Experiments (DOE) experts and provides an overview of how to design an experiment by explaining common terminology and teaching various design of experiment techniques, all in an injection molding environment. This comprehensive 3-lesson course provides everything you need to improve your molding processes with DOE techniques. This program is recommended for quality assurance personnel, supervisors, lead persons, and molding managers.

    Lesson 1 – Learning the Basics

    This lesson introduces the basics of experimental design for the injection molding process. It also discusses ways to organize and analyze data by using graphs such as the Pareto chart, main effects plot and contour plot, which provide the basis for analysis of any experiment.

    Lesson 2 – Fractional Factorial Designs

    Lesson 2 continues to discuss various terms and concepts of the Design of Experiments methodology. Some of the concepts are explored in more detail which includes the process diagram, factors and responses, the design matrix, the Pareto chart,  and the main effects plot.

    Lesson 3 – The Taguchi Design Method and Various Modeling Designs

    This lesson describes other experimental design types that should be considered when conducting design of experiments for an injection molding process. These design types include: Taguchi, Box Behnken, Central Composite Circumscribed, Central Composite Faced and D-Optimal designs.

    Demo Video

    • }Length: 3 Lessons – 5-6 Hours of Training
    • Language: English
    • *Recommended For: Setup Personnel, Foreman, Quality Control Personnel, Process Engineers, Production Supervisors, Molding Managers
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