Optimizing welding sequence with genetic algorithm

Kadivar, M. H.; Jafarpur, Khosrow; Baradaran, Gholam Hossein

doi:10.1007/s004660000195

Cited by 54 publications

(42 citation statements)

References 1 publication

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“…The total number of all possible welding sequences can be obtained using Equation (1) introduced in [1,12] in which d is the number of directions for each seam (2 directions) and s is the total number of seams (3 and 4). As a result, there is a total of 48 and 384 possible welding sequences for the flat plate and the simplified replica of a portion of an aero-engine casing.…”

Section: Definition Of Welding Sequence Problemmentioning

confidence: 99%

“…Welding generates distortion and residual stresses in structures as a result of the effects of shrinkage during cooling [1,2]. These can lead to unacceptable inaccuracies and in-service defects, respectively [3].…”

Section: Introductionmentioning

confidence: 99%

“…This includes the neural net alogrithm [5], the genetic and evolutionary alogrithm [1,3,6,7] and the elstic net method [7]. These were all coded on the basis of the heuristic knowledge of welding experts in the robot welding industry while using FE modelling to calculate distortion.…”

Section: Introductionmentioning

confidence: 99%

“…These were all coded on the basis of the heuristic knowledge of welding experts in the robot welding industry while using FE modelling to calculate distortion. Distrotion was considered as the criterion determining the weld quality in these studies due to the fact that welding sequence has a minor effect on the resulting maximum residual stress values [1]. The heauristic knoweldge is however unique to the specific welding process of a specific structure which makes its emplementation across different welding processes and structures less resilient.…”

Section: Introductionmentioning

confidence: 99%

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Welding sequence optimization of plasma arc for welded thin structures

Mohammed¹,

Sun²,

Hyde³

2012

WIT Transactions on the Built Environment

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Dividing the weld path into multiple seams that are welded sequentially in a specific order is one of the most important and cost effective distortion and residual stresses mitigation strategies. This is particularly important for welding fabrication of thin structures. The number of sequence options resulting from reordering seams increases explosively with the increase of the number of weld seams. Investigating all sequences using experimental, analytical or computational approaches requires substantial expenses in terms of time, resources and cost and in many situations is practically impossible. Therefore, welding industries tend to opt for small improvement and abandon the search for the absolute optimum welding sequence, e.g. the welding sequence that produces the absolute minimum welding induced distortion. This paper presents an optimization procedure to improving the effectiveness of the search for an optimized welding sequence. The optimization procedure is based on the principles of genetic algorithms (GA), in which the finite element (FE) analysis is used to produce the distortion information and direct the evolution of the GA within the optimization. The capability of the optimization procedure to identify an optimum welding sequence was demonstrated for the keyhole plasma arc welding (KPAW) of two Ti-6Al-4V thin structures, being a flat plate and a simplified replica of a portion of an aero-engine casing. The optimization procedure developed in this study was capable of minimizing the welding induced distortion by up to 55% and of improving the effectiveness of the search for an optimized welding sequence by up to 98%.

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Section: Definition Of Welding Sequence Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Welding sequence optimization of plasma arc for welded thin structures

Mohammed¹,

Sun²,

Hyde³

2012

WIT Transactions on the Built Environment

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show abstract

“…Teng et al [10] use a specially designed FE model to assess the stress during a circular weld and to study the effect of the welding sequence. Kadivar et al [11] utilize a FE model and GA linked with a thermo-mechanical model. Tsai et al [12] present the optimization of a welding sequence for T-joints, but this is not applicable for the welds discussed in this paper.…”

Section: Introductionmentioning

confidence: 99%

Weld sequence optimization: The use of surrogate models for solving sequential combinatorial problems

Voutchkov¹,

Keane²,

Bhaskar³

et al. 2005

Computer Methods in Applied Mechanics and Engineering

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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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