Research Article

Mathematical Modelling of a Friction Stir Welding Process to Predict the Joint Strength of Two Dissimilar Aluminium Alloys Using Experimental Data and Genetic Programming

Table 6

Comparison between experimental and predicted values of impact strength at = 99.4.

0
(°)
1
(KN)
2
(rpm)
3
(mm/s)
4
(mm)
Impact strength (J/m2)ErrorLinear regressionError
ExperimentalGP

3260011530.620.627465−0.0074651290.1301850.489815
32.560011530.560.56651−0.006510201−0.057810.617815
339007530.890.8887320.001268461−0.215181.105175
339009030.950.956007−0.006007421−0.213391.16339
3312007530.90.90866−0.008660352−0.179781.079775
3312009030.890.890057−0.177991.06799
4260011530.890.890585−0.0005848260.1332850.756715
429007530.880.8769780.0030221390.1639250.716075
4290011530.90.8988670.0011333470.1686850.731315
4212009030.810.810876−0.0008759520.201110.60889
42.59007530.950.956236−0.006236064−0.024080.974075
42.590011530.890.8808330.009166732−0.019320.909315
42.512009030.910.912273−0.0022730490.013110.89689
436009030.7180.7162180.001782065−0.245690.96369
439007530.730.7247770.005222838−0.212080.942075
439009030.7450.7398080.005191798−0.210290.95529
4312007530.720.7159230.004076512−0.176680.896675
4312009030.710.713943−0.003943005−0.174890.88489
43120011530.720.727521−0.007521241−0.171920.891915
326009040.80.7994810.0005189060.085010.71499
32.56009040.630.630611−0.00061142−0.102990.73299
32.560011540.580.5754220.00457819−0.100020.680015
339009040.910.918671−0.008671191−0.255591.16559
3312007530.90.90866−0.008660352−0.179781.079775
3312009030.890.890057−0.177991.06799
426007540.650.651921−0.0019206170.0863250.563675
4260011530.890.890585−0.0005848260.1332850.756715
4260011550.820.8130680.0069317890.0488850.771115
429007530.880.8769780.0030221390.1639250.716075
4290011530.90.8988670.0011333470.1686850.731315
4290011550.8650.8650830.0842850.780715
4212007550.710.712427−0.0024266030.1149250.595075
4212009030.810.810876−0.0008759520.201110.60889
4212009050.770.777844−0.0078439520.116710.65329
42120011540.780.78315−0.0031498380.1618850.618115
42.56009040.860.860959−0.000958576−0.099890.95989
42.512007540.80.808779−0.008778763−0.030880.830875
42.512009040.930.931005−0.001005299−0.029090.95909
436007540.720.7173280.002671809−0.289681.009675
439007540.740.7377320.002268126−0.254280.994275
4312007540.7250.7159110.009089208−0.218880.943875
4312009040.7180.7139280.004072254−0.217090.93509
326009040.80.7994810.0005189060.085010.71499
32.56009040.630.630611−0.00061142−0.102990.73299
32.560011540.580.5754220.00457819−0.100020.680015
339009040.910.918671−0.008671191−0.255591.16559
3312007530.90.90866−0.008660352−0.179781.079775
3312009030.890.890057−0.177991.06799
426007540.650.651921−0.0019206170.0863250.563675
4260011530.890.890585−0.0005848260.1332850.756715
4260011550.820.8130680.0069317890.0488850.771115
429007530.880.8769780.0030221390.1639250.716075
4290011530.90.8988670.0011333470.1686850.731315
4290011550.8650.8650830.0842850.780715
4212007550.710.712427−0.0024266030.1149250.595075
4212009030.810.810876−0.0008759520.201110.60889
4212009050.770.777844−0.0078439520.116710.65329
42120011540.780.78315−0.0031498380.1618850.618115
42.56009040.860.860959−0.000958576−0.099890.95989
42.512007540.80.808779−0.008778763−0.030880.830875
42.512009040.930.931005−0.001005299−0.029090.95909
436007540.720.7173280.002671809−0.289681.009675
439007540.740.7377320.002268126−0.254280.994275
4312009040.7180.7139280.004072254−0.217090.93509