Research Article
Optimization of Automotive Suspension System by Design of Experiments: A Nonderivative Method
Table 11
ANOVA analysis: fractional factorial design.
| Source | DF | Seq SS | Adj SS | Adj MS | | |
| Blocks | 1 | 1.1552 | 1.1552 | 1.1552 | 133.09 | 0 | Main effects | 6 | 2.84555 | 2.84555 | 0.47426 | 54.64 | 0 | typ (psi) | 1 | 0.00405 | 0.00405 | 0.00405 | 0.47 | 0.502 | cma (degree) | 1 | 0.3698 | 0.3698 | 0.3698 | 42.61 | 0 | ks (N/m) | 1 | 0.125 | 0.125 | 0.125 | 14.4 | 0.001 | cs (N-s/m) | 1 | 1.02245 | 1.02245 | 1.02245 | 117.8 | 0 | toe (mm) | 1 | 0.53045 | 0.53045 | 0.53045 | 61.11 | 0 | | 1 | 0.7938 | 0.7938 | 0.7938 | 91.46 | 0 | Two-way interactions | 2 | 0.84725 | 0.84725 | 0.42363 | 48.81 | 0 | typ (deg) | 1 | 0.61605 | 0.61605 | 0.61605 | 70.98 | 0 | typ | 1 | 0.2312 | 0.2312 | 0.2312 | 26.64 | 0 | Residual error | 22 | 0.19095 | 0.19095 | 0.00868 | | | Lack of fit | 6 | 0.07515 | 0.07515 | 0.01253 | 1.73 | 0.178 | Pure error | 16 | 0.1158 | 0.1158 | 0.00724 | | |
| Total | 31 | 5.03895 | | | | |
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