A Method to Improve Efficiency in Welding Simulations for Simulation Driven Design

Pahkamaa, Andreas; Karlsson, Lennart; Pavasson, Jonas; Karlberg, Magnus; ̈m, Mats Na ̈sstro; Goldak, John

doi:10.1115/detc2010-28664

Cited by 12 publications

(11 citation statements)

References 19 publications

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“…The model is most often a plate with the heat source moving along one axis with constant velocity. Recently, those studies dealing with a reliability of both, experimental and numerical results have become significant, [7][8][9][10][11]. For a long time numerous experimental and numerical studies have been dealing with different aspects of the problem, [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Numerical analysis of temperature field during hardfacing process and comparison with experimental results

Lazić

Ivanović²,

Sedmak

et al. 2014

THERM SCI

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The three-dimensional transient nonlinear thermal analysis of the hard facing process is performed by using the finite element method. The simulations were executed on the open source Salome platform using the open source finite element solver Code Aster. The Gaussian double ellipsoid was selected in order to enable greater possibilities for the calculation of the moving heat source. The numerical results were compared with available experimental results

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Section: Introductionmentioning

confidence: 99%

Numerical analysis of temperature field during hardfacing process and comparison with experimental results

Lazić

Ivanović²,

Sedmak

et al. 2014

THERM SCI

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“…Pahkamaa et. al [15] and Karlsson et. al [16] demonstrated how welding simulations can be used in a simulation driven design process. VrWeld [17], a CWM software developed by Goldak Technologies Inc. is used to conduct the welding simulations in this paper.…”

Section: Welding Simulationsmentioning

confidence: 99%

Combining Variation Simulation With Welding Simulation for Prediction of Deformation

Pahkamaa

Wärmefjord

Karlsson

et al. 2010

Volume 11: New Developments in Simulation Methods and Software for Engineering Applications; Safety Engineering, Risk Analysis

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In most variation simulations, i.e. simulations of geometric variations in assemblies, the influence from the heating and cooling processes, generated when two parts are welded together, is not taken into consideration. In most welding simulations the influence from geometric tolerances on parts is not taken into consideration, i.e. the simulations are based on nominal parts. In this paper these two aspects, both crucial for predicting the final outcome of an assembly, are combined by linking two commercial software packages for variation simulation and for welding simulation together. Monte Carlo simulation is used to generate a number of different non-nominal parts in the variation simulation software. The translation and rotation matrices, representing the deviations from the nominal geometry due to positioning error, are exported to the welding simulation software, where the effects from welding are applied. Thereafter, the results from the welding simulation are exported back to the variation simulation software in order to compute and illustrate the deviations and variations of the final subassembly. The method is applied on a simple case, a Tweld joint, with available measurements of residual stresses and deformations. The effect of the different sources of deviation on the final outcome is analyzed and the difference between welding simulations applied to nominal parts and to disturbed parts is investigated.

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“…In many design cases, the designers can make a decision based on this rough approximation of the behavior. Good examples of these algorithms are 'Fast Weld' and 'Super-Fast Weld' algorithm that analyzes the weld displacement based on elastic-thermal-strain only [4]. They show a good estimate of a full 3D transient analysis for a truck's axle bridge with 4 welds but are as much as 30 time faster than a normal analysis.…”

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

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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.

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A Method to Improve Efficiency in Welding Simulations for Simulation Driven Design

Cited by 12 publications

References 19 publications

Numerical analysis of temperature field during hardfacing process and comparison with experimental results

Numerical analysis of temperature field during hardfacing process and comparison with experimental results

Combining Variation Simulation With Welding Simulation for Prediction of Deformation

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

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