Author

Vander Kooi

Date of Award

8-1995

Degree Name

Master of Science

Department

Industrial and Entrepreneurial Engineering and Engineering Management

Department

Industrial and Manufacturing Engineering

First Advisor

Dr. Paul Engelmann

Second Advisor

Michael Monfore

Third Advisor

Dr. Sam Ramrattan

Access Setting

Masters Thesis-Open Access

Abstract

To reduce variation in the injection molding process it is essential to understand the effect of process, mold, and material variables on critical part characteristics. Gaining a thorough understanding of these variables is often difficult due to the limited time manufacturers typically have available for mold trials. To address this issue, the Premier Class Injection Molding consortium (PCIM) has performed numerous experiments relating to shot-to-shot repeatability. Using the PCIM data set and experimentation procedures as a base, a procedure was developed to collect data during a mold trial. Incorporating small experiments and statistical analysis, the new procedure allows meaningful data to be efficiently and effectively collected. These data are used to define a stable molding process which contributes to the development of a more robust process. The procedure also provides consistent and thorough documentation of the process. In addition, this study reviews the economics of applying the new mold trial procedure.

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