Name
Abstract | ||
|---|---|---|
This case study presents an investigation of the relationships between eight process operating variables (factors) and five part performance measures (responses) in a rapid prototyping system. The use of fractional factorial, single-factor foldover, and central composite designs is demonstrated. Polynomial regression models are constructed for each response, followed by a desirability function model. Canonical and ridge analyses are used to identify a group of factor settings that simultaneously produce improved performance for all responses. Copyright (C) 2006 John Wiley & Sons, Ltd. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1002/qre.779 | QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL |
Keywords | Field | DocType |
experimental design,regression,optimization,fractional factorial,foldover,central composite,desirability function | Rapid prototyping,Fractional factorial design,Engineering drawing,Industrial engineering,Regression,Polynomial regression,Engineering,Statistics,Desirability function,Central composite design,Response surface methodology | Journal |
Volume | Issue | ISSN |
22 | 8 | 0748-8017 |
Citations | PageRank | References |
5 | 0.77 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kurt Palmer | 1 | 15 | 4.25 |
| Bahram Asiabanpour | 2 | 11 | 2.27 |
| Behrokh Khoshnevis | 3 | 125 | 14.25 |