With the help of the Design Expert (6.0.8), a 23 complete factorial central composite design was obtained. A total of 20 tests in duplicate were used to the central composite design matrix according to this approach, as shown in Table 3.
CCD for independent operational variables and the recorded response for As (III)
Std . | Run . | Factor 1 . | Factor 2 . | Factor 3 . | Response breakthrough time . | |
---|---|---|---|---|---|---|
A: Influent As(III) concentration . | B: Influent flow rate . | C: Bed depth . | Experimental values . | RSM predicted . | ||
μg/L . | mL/min . | cm . | min . | |||
10 | 1 | 1500.00 | 6.00 | 10.00 | 412 | 417 |
7 | 2 | 300.00 | 9.00 | 15.00 | 858 | 861 |
9 | 3 | 109.08 | 6.00 | 10.00 | 496 | 501 |
4 | 4 | 1500.00 | 9.00 | 5.00 | 232 | 238 |
5 | 5 | 300.00 | 3.00 | 15.00 | 934 | 941 |
16 | 6 | 900.00 | 6.00 | 10.00 | 468 | 463 |
14 | 7 | 900.00 | 6.00 | 15.00 | 778 | 782 |
17 | 8 | 900.00 | 6.00 | 10.00 | 468 | 463 |
18 | 9 | 900.00 | 6.00 | 10.00 | 468 | 463 |
3 | 10 | 300.00 | 9.00 | 5.00 | 281 | 277 |
2 | 11 | 1500.00 | 3.00 | 5.00 | 298 | 291 |
13 | 12 | 900.00 | 6.00 | 5.00 | 245 | 240 |
8 | 13 | 1500.00 | 9.00 | 15.00 | 741 | 735 |
6 | 14 | 1500.00 | 3.00 | 15.00 | 792 | 789 |
11 | 15 | 900.00 | 6.00 | 10.00 | 468 | 463 |
20 | 16 | 900.00 | 6.00 | 10.00 | 468 | 463 |
19 | 17 | 900.00 | 6.00 | 10.00 | 468 | 463 |
12 | 18 | 900.00 | 11.05 | 10.00 | 425 | 419 |
1 | 19 | 300.00 | 3.00 | 5.00 | 312 | 318 |
15 | 20 | 900.00 | 6.00 | 10.00 | 468 | 463 |
Std . | Run . | Factor 1 . | Factor 2 . | Factor 3 . | Response breakthrough time . | |
---|---|---|---|---|---|---|
A: Influent As(III) concentration . | B: Influent flow rate . | C: Bed depth . | Experimental values . | RSM predicted . | ||
μg/L . | mL/min . | cm . | min . | |||
10 | 1 | 1500.00 | 6.00 | 10.00 | 412 | 417 |
7 | 2 | 300.00 | 9.00 | 15.00 | 858 | 861 |
9 | 3 | 109.08 | 6.00 | 10.00 | 496 | 501 |
4 | 4 | 1500.00 | 9.00 | 5.00 | 232 | 238 |
5 | 5 | 300.00 | 3.00 | 15.00 | 934 | 941 |
16 | 6 | 900.00 | 6.00 | 10.00 | 468 | 463 |
14 | 7 | 900.00 | 6.00 | 15.00 | 778 | 782 |
17 | 8 | 900.00 | 6.00 | 10.00 | 468 | 463 |
18 | 9 | 900.00 | 6.00 | 10.00 | 468 | 463 |
3 | 10 | 300.00 | 9.00 | 5.00 | 281 | 277 |
2 | 11 | 1500.00 | 3.00 | 5.00 | 298 | 291 |
13 | 12 | 900.00 | 6.00 | 5.00 | 245 | 240 |
8 | 13 | 1500.00 | 9.00 | 15.00 | 741 | 735 |
6 | 14 | 1500.00 | 3.00 | 15.00 | 792 | 789 |
11 | 15 | 900.00 | 6.00 | 10.00 | 468 | 463 |
20 | 16 | 900.00 | 6.00 | 10.00 | 468 | 463 |
19 | 17 | 900.00 | 6.00 | 10.00 | 468 | 463 |
12 | 18 | 900.00 | 11.05 | 10.00 | 425 | 419 |
1 | 19 | 300.00 | 3.00 | 5.00 | 312 | 318 |
15 | 20 | 900.00 | 6.00 | 10.00 | 468 | 463 |
Sum of squares sequential model
Source . | Sum of squares . | DF . | Mean square . | F value . | Prob > F . | . |
---|---|---|---|---|---|---|
Mean | 5.091E + 006 | 1 | 5.091E + 006 | |||
Linear | 7.755E + 005 | 3 | 2.585E + 005 | 95.91 | < 0.0001 | |
2FI | 4,948.30 | 3 | 1,649.43 | 0.56 | 0.6497 | |
Quadratic | 34,824.08 | 3 | 11,608.03 | 34.63 | < 0.0001 | Suggested |
Cubic | 3,352.06 | 4 | 838.01 | 6.366E + 007 | < 0.0001 | Aliased |
Residual | 0.000 | 6 | 0.000 | |||
Total | 5.910E + 006 | 20 | 2.955E + 005 |
Source . | Sum of squares . | DF . | Mean square . | F value . | Prob > F . | . |
---|---|---|---|---|---|---|
Mean | 5.091E + 006 | 1 | 5.091E + 006 | |||
Linear | 7.755E + 005 | 3 | 2.585E + 005 | 95.91 | < 0.0001 | |
2FI | 4,948.30 | 3 | 1,649.43 | 0.56 | 0.6497 | |
Quadratic | 34,824.08 | 3 | 11,608.03 | 34.63 | < 0.0001 | Suggested |
Cubic | 3,352.06 | 4 | 838.01 | 6.366E + 007 | < 0.0001 | Aliased |
Residual | 0.000 | 6 | 0.000 | |||
Total | 5.910E + 006 | 20 | 2.955E + 005 |