Design of Experiments for Injection Molding
Design of Experiments
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.
|
|
||||||||||||||
Training
Provided by Launsby Consulting
- C asked: Im in charged of managing in all engineering aspect (Project-Process activities)the Injection molding are of at Dominican Republic. Im interested in taking a Design Of Experiment for Injection molding process course.
- J asked: Do you have any work instruction on performing a DOE for lsr molding
- M asked: please provide me the details of DOE for injection moulding.
- H asked: Can you do training in our plant? what is the cost?
- B asked: I want to know the simple tablet matrix for conducting the DOE in injection molding machine, as process validation point of view. Please send me the detail.
- asked: Dear Sir, I have designed a conformal cooling channels mould to use it in injection a plastic parts, and i would like to compare its result with the conventional mould results, with doing optimization to the involved parameters. Can i have an online support in oredr to get my DOE to start my experiment. Best regards Mr. Alenezi
- M asked: I'm not sure to be able to attend suche a training (I am in France), but is it possible to buy the document/ support ? Thanks Moguedet
- M asked: can you send me information relating to this subject to my home and residence. aspen lane windsor co Mike Janicki
- G asked: Where/ when I can I obtain such training.
- H asked: can i receive document about this subject. how can i use Minitib.
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
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...
