Research Article

Performance Optimization, Prediction, and Adequacy by Response Surfaces Methodology with Allusion to DRF Technique

Table 3

Comparison of actual and predicted values.
(a)

Ref no.Weight per square meterAbrasion cyclesBursting strength (kg/cm2) -estimation
123451234512345678910

1201203.50−1.24101.240.991170.001233.54−5.43105.430.9512.0011.742.1797.831.020.960.961383.001448.780.95
2192194.00−1.04101.040.991230.001233.54−0.29100.291.0013.0012.801.5498.461.021.001.001435.001440.341.00
3196194.001.0298.981.011200.001233.54−2.80102.800.9712.1012.90−6.61106.610.940.920.921408.101440.440.98
4206203.501.2198.791.011150.001233.54−7.26107.260.9313.0512.563.7596.251.040.980.981369.051449.600.94
5186186.33−0.18100.181.001270.001298.33−2.23102.230.9813.2012.505.3094.701.061.031.031469.201497.160.98
6197195.790.6199.391.011195.001281.45−7.23107.230.9312.2011.386.7293.281.071.011.011404.201488.620.94
7193195.79−1.45101.450.991220.001281.45−5.04105.040.9513.5011.7413.0486.961.151.081.081426.501488.980.96
8189191.29−1.21101.210.991260.001315.21−4.38104.380.9614.0011.8415.4384.571.181.121.121463.001518.340.96
9190191.29−0.68100.680.991240.001315.21−6.07106.070.9412.8512.205.0694.941.050.990.991442.851518.700.95
10188186.330.8999.111.011325.001298.332.0197.991.0213.0512.504.2195.791.041.071.071526.051497.161.02
11197198.54−0.78100.780.991190.001169.161.7598.251.0212.2011.337.1392.871.081.091.091399.201379.031.01
12187189.04−1.09101.090.991280.001264.161.2498.761.0114.0511.7916.0983.911.191.191.191481.051464.991.01
13184184.54−0.29100.291.001310.001297.920.9299.081.0114.3511.7917.8482.161.221.221.221508.351494.251.01
14193194.04−0.54100.540.991210.001202.920.5999.411.0113.7012.2510.5889.421.121.121.121416.701409.211.01
15185186.33−0.72100.720.991300.001298.330.1399.871.0013.1012.504.5895.421.051.041.041498.101497.161.00

Average192.27192.95−0.37100.371.001236.671263.78−2.27102.270.9813.0912.127.1292.881.081.061.050.98
Max206203.501.21101.451.0113251315.212.01107.271.0214.3512.9017.84106.611.221.221.261.02
Min184184.54−1.4598.790.9911501169.16−7.2697.990.9312.0011.33−6.6182.160.940.920.860.94
-Factor0.0160.0020.229

(b)

Response surface equations( )

1 0.96
2 0.71
3 0.86

1: actual value; 2: predicted value; 3: difference (%); 4: accuracy (%); 5: actual values/predicted values; 6: product of 1 (all parameters)/product of 2 (all parameters); 7: product of 5 (all parameters); 8: sum of all actual values of parameters; 9: sum of all predicted values of parameters; 10: product (8*9).