Research Article
Fuzzy Performance between Surface Fitting and Energy Distribution in Turbulence Runner
Table 8
Fuzzy relation degrees between experimental condition parameters and kinetic energy distribution surface features in the form of NURBS surface.
| Condition | Feature 1 | Feature 2 | Feature 3 | Feature 4 | Feature 5 |
| Number of control points (u) | 0.8956 | 0.9254 | 0.4478 | 0.5849 | 0.6589 | Number of control points (v) | 0.6254 | 0.9125 | 0.5963 | 0.8965 | 0.5542 | Order of spline surface | 0.2546 | 0.9632 | 0.9254 | 0.8475 | 0.6235 | Order of knot vector | 0.3365 | 0.8654 | 0.9125 | 0.4521 | 0.8452 | Order of normal vectors | 0.2547 | 0.7748 | 0.6589 | 0.9214 | 0.5742 | Order of derivative vectors | 0.4156 | 0.7639 | 0.4785 | 0.8523 | 0.6214 | Number of constrain vectors | 0.6215 | 0.5482 | 0.9921 | 0.6214 | 0.8523 | Order of constrain vectors | 0.2558 | 0.1254 | 0.8848 | 0.6144 | 0.9214 | Order of continuous level | 0.5478 | 0.3654 | 0.6215 | 0.5248 | 0.5426 | Kinetic energy coefficient | 0.3654 | 0.8457 | 0.5144 | 0.6395 | 0.3654 | Rank of derivative matrix | 0.5523 | 0.3369 | 0.4478 | 0.6235 | 0.5846 | Approximate error range | 0.6245 | 0.8452 | 0.9542 | 0.5145 | 0.6695 |
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