2005
DOI: 10.1016/j.cma.2005.02.003
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Weld sequence optimization: The use of surrogate models for solving sequential combinatorial problems

Abstract: The solution of combinatorial optimization problems usually involves the consideration of many possible design configurations. This often makes such approaches computationally expensive, especially when dealing with complex finite element models. Here a surrogate model is proposed that can be used to reduce substantially the computational expense of sequential combinatorial finite element problems. The model is illustrated by application to a weld path planning problem.

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Cited by 50 publications
(42 citation statements)
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“…There are several methods, including heat treatment, hammering, pre-heating, vibration (Aoki et al, 2005) stress relieving, and welding sequence (WS) (Kadivar et al, 2000) to reduce the residual stresses attributed to welding. In these methods, to choose an available welding sequence is more simple and efficient for reduction residual stress and distortion (Ozcatalbas et al, 2007;Teng et al, 2003;Tsai et al, 1999;Voutchkov et al, 2005). Due to its prominent effect, determining the optimum welding sequence plays an important role in the development of a new joining concept.…”
Section: Introductionmentioning
confidence: 97%
“…There are several methods, including heat treatment, hammering, pre-heating, vibration (Aoki et al, 2005) stress relieving, and welding sequence (WS) (Kadivar et al, 2000) to reduce the residual stresses attributed to welding. In these methods, to choose an available welding sequence is more simple and efficient for reduction residual stress and distortion (Ozcatalbas et al, 2007;Teng et al, 2003;Tsai et al, 1999;Voutchkov et al, 2005). Due to its prominent effect, determining the optimum welding sequence plays an important role in the development of a new joining concept.…”
Section: Introductionmentioning
confidence: 97%
“…CWM has enabled studying the weld mitigation optimization with extended scope beyond the limit of experimental optimization. In the past decades, several mitigation methods have been studied using CWM such as predeformation [6], thermal tensioning [7,8], or by using optimized welding sequences [9][10][11], or surrogate modeling [11][12][13]. Advanced mitigation techniques require hundreds of CWM evaluations for a designer to make a right decision.…”
Section: Introductionmentioning
confidence: 99%
“…Voutchkov et al [66]. They optimize a weld sequence, which is represented as a signed permutation, and find a near-optimal welding sequence by evaluating …”
Section: Customized Application Specific Solutions (Str-2) An Exampmentioning
confidence: 99%