PSI - Issue 33

Anass Gouya et al. / Procedia Structural Integrity 33 (2021) 215–220 GOUYA Anass / Structural Integrity Procedia 00 (2019) 000–000

218

4

Strand12 Strand13 Strand14 Strand15 Strand16 Strand17 Strand18 Strand19 Strand20 Strand21 Strand22 Strand23 Strand24 Strand25 Strand26 Strand27

120 120 120 120 120 120 120 200 200 200 200 200 200 200 200 200

0

1.9

1535 1310 1514 1674 1321 1570 1637 1592 1790 1580 1931 1734 1996 1820 1853 1998

114.6 114.6 114.6

1.58

1.7 1.9

229.19 229.19 229.19

1.58

1.7 1.9

0 0 0

1.58

1.7 1.9

114.6 114.6 114.6

1.58

1.7 1.9

229.19 229.19 229.19

1.58

1.7 1.9

3.2 Optimization of manufacturing parameters by Taguchi’s method Taking into account the orthogonal table, a combination of mixed levels with a network of L27 combinations of 27 trials (3 levels and 3 factors), we choose the parameters that have the highest effects, the pitch and diameter and the Young’s modulus to optimize the optimal parameters Taguchi analysis is performed on the L27 orthogonal network to maximize the failure stress considering the option larger is better. we output the optimal conditions from the main effect’s plots of the S/N ratio, the optimal combination of input parameters is determined by taking into consideration the maximum points in the plot for different parameters. the results obtained and plotted using Minitab (ANOVA) are shown below. The S/N analysis takes into account the measurement of the characteristic performance, namely: "higher is better"( � � , "lower is better""( � � . In this work, the S/N ratio is based on the failure stress data for higher is better, expressed as follows (Fatoba, Akanji, et Aasa s. d.): � � ������������ ∑ � � � � � � � ��� ) (1) where Y is the responses for the given factor level combination and n is the number of responses in the factor level combination .