@inproceedings{8b294e74403f45649735a3c5056a7542,
title = "Fatigue strength under optimal conditions of spot weldment using GA and FEM",
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.",
keywords = "Fatigue strength, FEM, Galvanized steel(EZNCEN), Genetic algorithm(GA), High tensile strength steel(HS40R), Spot weldment",
author = "Song, \{Joon Hyuk\} and Yang, \{Sung Mo\} and Yu, \{Hyo Sun\} and Kang, \{Hee Yong\}",
year = "2013",
doi = "10.4028/www.scientific.net/AMM.284-287.123",
language = "English",
isbn = "9783037856123",
series = "Applied Mechanics and Materials",
pages = "123--126",
booktitle = "Innovation for Applied Science and Technology",
note = "2nd International Conference on Engineering and Technology Innovation 2012, ICETI 2012 ; Conference date: 02-11-2012 Through 06-11-2012",
}