Combinatorial optimization of weld sequence by using a surrogate model to mitigate a weld distortion

Asadi, Mahyar; Goldak, John

doi:10.1007/s10999-011-9154-6

Cited by 23 publications

(8 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ref. (18) describes an analysis in which a surrogate model is demonstrated to minimize the distortion in a girth weld of a pipe ( Fig. 9 welded with six sub-passes as shown in Fig.…”

Section: Surrogate/meta Modelmentioning

confidence: 99%

Exploring the parametric design space to manage computational weld mechanics analyses using design of experiment

Asadi

Goldak

2013

IJPD

Self Cite

View full text Add to dashboard Cite

Development of a computational weld mechanics (CWM) framework that automates multiple setups and evaluations is required to practically explore a design space by given design of experiment (DOE) matrices. Saving an expert-user's time to prepare several analyses and allocating CPUs to be utilized efficiently make this framework cost effective and time effective to manage designer-driven optimization and control application of CWM. A validation analysis is conducted in this framework to identify the CWM control vector that minimizes the difference between the computed and experimental data. Actual CWM problems with continuous and/or discontinuous parametric design spaces are solved in this framework to minimize weld distortion using derivative-free optimization algorithms and DOE matrices that become attractive in this framework.

show abstract

“…Ref. (18) describes an analysis in which a surrogate model is demonstrated to minimize the distortion in a girth weld of a pipe ( Fig. 9 welded with six sub-passes as shown in Fig.…”

Section: Surrogate/meta Modelmentioning

confidence: 99%

Exploring the parametric design space to manage computational weld mechanics analyses using design of experiment

Asadi

Goldak

2013

IJPD

Self Cite

View full text Add to dashboard Cite

show abstract

“…The main limitation for using models like surrogate models is that the algorithm needs to be tailored to the case and may differ from case to case. The surrogate modeling method that is used in [7] to find the best sequence in a girth pipe welding is different from the one developed in [2] for welding of tail bear housing. The difference, however, is not in the technique of selecting trial weld sequences for space exploration; however the author believes that the method used for this pipe can be reprocessed for other pipes and concludes that the effectiveness of surrogate modeling is that the method remains unchanged in similar class of welded structure.…”

Section: Introductionmentioning

confidence: 99%

A Method to Define the Best Weld Sequence Using a Limited Number of Welding Simulation Analysis

Asadi¹,

Alsoruji

2015

Volume 6B: Materials and Fabrication

Self Cite

View full text Add to dashboard Cite

Weld sequence optimization, which is determining the best (and worst) welding sequence for welding work pieces, is a very common problem in welding design. The solution for such a combinatorial problem is limited by available resources. Although there are fast simulation models that support sequencing design, still it takes long because of many possible combinations, e.g. millions in a welded structure involving 10 passes. It is not feasible to choose the optimal sequence by evaluating all possible combinations, therefore this paper employs surrogate modeling that partially explores the design space and constructs an approximation model from some combinations of solutions of the expensive simulation model to mimic the behavior of the simulation model as closely as possible but at a much lower computational time and cost. This surrogate model, then, could be used to approximate the behavior of the other combinations and to find the best (and worst) sequence in terms of distortion. The technique is developed and tested on a simple panel structure with 4 weld passes, but essentially can be generalized to many weld passes. A comparison between the results of the surrogate model and the full transient FEM analysis all possible combinations shows the accuracy of the algorithm/model.

show abstract

“…In the past decades, several mitigation methods have been studied using CWM such as pre-deformation [18], thermal tensioning [19] & [20], or by using optimized welding sequences [21], [22] & [23], or surrogate modelling [24] & [25]. Advanced mitigation techniques require hundreds of CWM evaluations for a designer to make a right decision.…”

Section: Introductionmentioning

confidence: 99%

Welding Distortion Can be Mitigated if Welding Current and Traveling Speed Vary Optimized Along a Weld Path

Asadi

Goldak

Weck

2014

Volume 6B: Materials and Fabrication

Self Cite

View full text Add to dashboard Cite

Typically, the distortion from welding is mitigated with the use of fixtures, clamps, tack welds and so on. Also the welding current and traveling speed are normally set constant during welding along a weld-path. The authors have developed and implemented an advanced control method that adaptively changes welding current and traveling speed depending on the state of deformation, in order to mitigate the final distortion without the use of additional hardware such as fixtures, clamps, and/or tack welds. It predicts the distortion before actual happening and adjusts parameters to counteract the deformation during welding. The present work implements this advanced method by applying an optimized, varying welding current and traveling speed on an edge-welded bar of Aluminum 5052-H32. A comparison is made between the final welding distortion with the new method, versus the regular method at constant welding current and traveling speed. A virtual predictive model was established to simulate and control the adaptive change of welding current and traveling speed, the optimized profile of the process parameters were performed by a robot, and the transient distortion was measured by state-of-the-art 3D photogrammetry cameras in real-time.

show abstract

Combinatorial optimization of weld sequence by using a surrogate model to mitigate a weld distortion

Cited by 23 publications

References 3 publications

Exploring the parametric design space to manage computational weld mechanics analyses using design of experiment

Exploring the parametric design space to manage computational weld mechanics analyses using design of experiment

A Method to Define the Best Weld Sequence Using a Limited Number of Welding Simulation Analysis

Welding Distortion Can be Mitigated if Welding Current and Traveling Speed Vary Optimized Along a Weld Path

Contact Info

Product

Resources

About