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Fatigue Strength under Optimal Conditions of Spot Weldment Using GA and FEM

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Abstract:

High tensile strength steel (HS40R) and galvanized steel (EZNCEN) are extensively used as components of vehicle bodies because they satisfy environmental standards and improve fuel economy. Because vehicle body sheets are becoming thinner and stronger, it is difficult to satisfy the design standards of spot welding joints. This research presents the optimization of the welding condition for various welding variables of a spot welding specimen by genetic algorithm (GA). When the welding condition optimization of spot weldment is performed using finite element method. The fatigue strength prediction method using FEM is useful for the prior evaluation technique that can predict the fatigue strength of spot weldment.

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Periodical:

Applied Mechanics and Materials (Volumes 284-287)

Pages:

123-126

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.284-287.123

Citation:

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Online since:

January 2013

Authors:

Joon Hyuk Song, Sung Mo Yang, Hyo Sun Yu, Hee Yong Kang

Keywords:

Fatigue Strength, Finite Element Method (FEM), Galvanized Steel (EZNCEN), Genetic Algorithm (GA), High Tensile Strength Steel (HS40R), Spot Weldment

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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References

[1] D.K. Yun:Advanced Welding Engineering. Hakmunsa (1982), p.337.

Google Scholar

[2] S.J. LEE, Y.S. An,D.W. Lee S.S. Cho and W.S. Joo:Journal of KSME (A), Vol.29, No.6(2005), pp.835-841.

Google Scholar

[3] MSC/FATIGUE: User's Manual, The MacNeal Schwedler Co, (1991)

Google Scholar

[4] K.S. Kim: M.S. Thesis, Dept. of Precision Mechanical Engineering Graduate School of Chonbuk National University, South KOREA (2006)

Google Scholar

[5] K. Nakane and Y. Torii: Journal of Japanese Welding Society, Vol. 42, No. 3(1973), pp.65-75

Google Scholar

[6] H.H. Kim, J.H. Park, I.H. Kwon, H.S. Yu and S.M. Yang: KSAE04-F0185, Vol. 3(2004), pp.1159-1163

Google Scholar

[7] SAE: Fatigue Design Handbook, SAE-10, (1988), pp.232-249

Google Scholar

[8] C.M. Suh and S.S. Kang: KSME International Journal, Vol.13, No.4(1998), pp.747-754

Google Scholar

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