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Provided by: Launsby Consulting

Design of Experiments for Injection Molding

Design of Experiments

Training Provided by Launsby Consulting 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.
This is primarily ilt training
book
group study and discussionThis class may involve group study
instructor led trainingThis class may be available at a classroom in Colorado Springs, CO,
Contact Launsby Consulting for more information
Course Level:introductory
Duration:2 days
Training Presented in:English
Design of Experiments for Injection Molding Course Outline 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
About The Training Provider: Launsby Consulting
Launsby Consulting - Since 1991, Launsby Consulting has provided applications oriented training, software, books, tools and consulting services in the areas of Design of Experiments, Process Validation, Statistical Process Control, Six Sigma, Neural Networks, Fuzzy Logic, Design for Six Sigma and Data Mining. We are committed to provide training, consulting services, software and tools that help companies meet...
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