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| Content Provider | The American Society of Mechanical Engineers (ASME) Digital Collection |
|---|---|
| Author | Japikse, David Dubitsky, Oleg Kerry, N. Oliphant Robert, J. Pelton Maynes, Daniel Bitter, Jamin |
| Copyright Year | 2005 |
| Abstract | In the course of developing advanced data processing and advanced performance models, as presented in companion papers, a number of basic scientific and mathematical questions arose. This paper deals with questions such as uniqueness, convergence, statistical accuracy, training, and evaluation methodologies. The process of bringing together large data sets and utilizing them, with outside data supplementation, is considered in detail. After these questions are focused carefully, emphasis is placed on how the new models, based on highly refined data processing, can best be used in the design world. The impact of this work on designs of the future is discussed. It is expected that this methodology will assist designers to move beyond contemporary design practices. |
| Sponsorship | Fluids Engineering Division |
| Starting Page | 513 |
| Ending Page | 521 |
| Page Count | 9 |
| File Format | |
| ISBN | 0791842193 |
| DOI | 10.1115/IMECE2005-79416 |
| e-ISBN | 0791837696 |
| Volume Number | Fluids Engineering |
| Conference Proceedings | ASME 2005 International Mechanical Engineering Congress and Exposition |
| Language | English |
| Publisher Date | 2005-11-05 |
| Publisher Place | Orlando, Florida, USA |
| Access Restriction | Subscribed |
| Subject Keyword | Turbomachinery Numerical Modeling Statistics Design Statistics as topic Computer simulation Engineering design processes |
| Content Type | Text |
| Resource Type | Article |
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