Plastics Workshops and Seminars
Design of Experiments (DOE)
for Injection Molding
Hands-On Applications
Fee: $1,295
Instructors: Brad Johnson
WHO SHOULD ATTEND:
Those who are involved at any level in the development or production of plastic parts and who are concerned with the continuous improvement of their processes can benefit. This two and a half day workshop will emphasize injection molding, utilizing examples from that process. It can also be of value to those working in other plastic processes and desiring training in constructing designed experiments for plastics.
EDUCATIONAL GOALS:
To compete in today's global market, quality must be designed into both product and production processes. This must carry through at all stages of manufacturing with processes and procedures that facilitate a process of continuous improvement. Carefully designed experiments (DOEs) can remove hindrances to high quality and productivity at every stage in the production of plastic parts.This workshop has been developed to give participants practical experience utilizing both the Penn State Erie processing lab and the computer lab (primarily using Microsoft Excel). Emphasis will be placed on in-class interaction and the hands-on experience with carrying out and analyzing experiments.
WORKSHOP OUTLINE:
1. Introduction
- Why worry about variation?
- What is a standard deviation?
- Overview of twenty-six problem-solving tools
2. Control Charts
- Part weight—does it work?
- Dimensional Process versus part control
- Workshop exercise—conduct a process capability analysis
3. Evaluation of the Measurement Process
- Workshop exercise—conduct an R and R study
- Accuracy versus precision
- How accurate do measurements have to be?
- Hypothesis testing—can a process be repeated on two different molding machines?
4. Design of Experiments
- Workshop exercise—groups will set up and carry out DOEs on a molding machine
- Main effects and interactions
- Methods of interpreting and analyzing results
- Scree plots
- Normal plots
- Response plots F-ratios
- Other methods available
- Commonly used terminology
- Confounding
- Randomizing
- Blocking
- Pooling
- Other common terminology
- Regression analysis and other advanced techniques