PSI - Issue 47

Anass Gouya et al. / Procedia Structural Integrity 47 (2023) 448–453 Author name / Structural Integrity Procedia 00 (2019) 000–000

453

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influence. The contribution error is equal to 3.29%, the variance ratio F of Young's modulus is 79.896 which has a higher influence, followed by the Friction with a variance ratio-F =10.415 to arrive at the Temperature F=4.215. 5. Conclusion The effect of characteristics such as material type, temperature, and friction on the mechanical behavior of the cables can be determined by combining the design of experiments (DOE) and the finite element method (FEM). In addition, the best parameters are found using a Taguchi design of experiments. With an L-shaped orthogonal network, the effect of optimal circumstances on the failure stress was investigated. Three factors were varied on three levels. The failure stress was used as the basis for the confirmatory S/N test. The Taguchi approach used in this study aims to increase the quality of wire ropes while reducing manufacturing costs. ANOVA has the ability to provide information on some statistical parameters, such as sum of squares, contribution variance and F- variance ratio =10.415. References [1] V. Ivanco, S. Kmet, et G. Fedorko, « Finite element simulation of creep of spiral strands », Engineering Structures , vol. 117, p. 220 ‑ 238, juin 2016, doi: 10.1016/j.engstruct.2016.02.053. [2] B. Song, H. Wang, W. Cui, J. Zhang, et H. Liu, « Dynamic simulation and optimization of clamping mechanism of online tension testing machine for wire ropes », Engineering Failure Analysis , vol. 95, p. 181 ‑ 190, janv. 2019, doi: 10.1016/j.engfailanal.2018.09.015. [3] M. Matejic, L. Ivanovic, N. Petrovic, et N. Kostic, « Determination of the most influential factor during the rope winding process around winch drums using Taguchi method », p. 6. [4] R. Asep, E. Ratna, et N. Ayu, « Quality Control of the Steel Wire Rod Product by Integration Lean Six Sigma and Taguchi Method », MATEC Web of Conferences , p. 7, 2018. [5] A. Jikal, H. Chaffoui, et M. El Ghorba, « Effect of Parameters on the Mechanical Behavior of Core Strands: Experimental, Numerical and Statistical Study », KEM , vol. 820, p. 104 ‑ 117, sept. 2019, doi: 10.4028/www.scientific.net/KEM.820.104. [6] Y. Peng et al. , « The friction and wear properties of steel wire rope sliding against itself under impact load », Wear , vol. 400 ‑ 401, p. 194 ‑ 206, avr. 2018, doi: 10.1016/j.wear.2018.01.010. [7] A. Jikal, « Corrosion influence on lifetime prediction to determine the Wöhler curves of outer layer strand of a steel wire rope », Engineering Failure Analysis , p. 12, 2020. [8] M. A. Gopichand, R. V. S. Lakshmi, et M. B. Maheshkrishna, « OPTIMIZATION OF DESIGN PARAMETERS FOR CRANE HOOK USING TAGUCHI METHOD », vol. 2, n o 12, p. 6, 2007. [9] Z. El khalidi, B. Hartiti, S. Fadili, et P. Thevenin, « Nickel oxide optimization using Taguchi design for hydrogen detection », International Journal of Hydrogen Energy , vol. 43, n o 27, p. 12574 ‑ 12583, juill. 2018, doi: 10.1016/j.ijhydene.2018.04.162. [10] A. Balaram Naik et A. Chennakeshava Reddy, « Optimization of tensile strength in TIG welding using the Taguchi method and analysis of variance (ANOVA) », Thermal Science and Engineering Progress , vol. 8, p. 327 ‑ 339, déc. 2018, doi: 10.1016/j.tsep.2018.08.005. [11] O. S. Fatoba, O. L. Akanji, et A. S. Aasa, « Optimization of Carburized UNS G10170 Steel Process Parameters Using Taguchi Approach and Response Surface Model (RSM) », p. 14. [12] « Asep et al. - 2018 - Quality Control of the Steel Wire Rod Product by I.pdf ». [13] Y. Peng et al. , « The friction and wear properties of steel wire rope sliding against itself under impact load », Wear , vol. 400 ‑ 401, p. 194 ‑ 206, avr. 2018, doi: 10.1016/j.wear.2018.01.010.