An analytical model for the prediction of distortions caused by the laser forming process

Kyrsanidi, An.K.; Kermanidis, Th.; Pantelakis, Spiros

doi:10.1016/s0924-0136(00)00520-3

Cited by 93 publications

(41 citation statements)

References 4 publications

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“…Some of them are discussed here. A number of analytical models were developed by various investigators (Vollertsen 1994;Kyrsanidi et al 2000;Cheng and Lin 2001;Shen et al 2006a) based on the theory of heat transfer and elastoplastic mechanics to predict bending angle in laser forming process. However, these models become difficult and cumbersome to determine the deformations for multiple scans, as the absorptivity of the workpiece surface, thermal and material properties change with temperature and time, during the laser forming process.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis and synthesis of laser forming process using neural networks and neuro-fuzzy inference system

2012

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To apply laser forming process in reality, it is required to know the relationships between the deformed shape and scanning paths along with heating conditions. The deformation due to laser scanning depends on various factors, namely laser power, scan speed, spot diameter, scan position, number of scans, and many others. This article presents soft computing-based methods to predict deformations for a set of heating conditions, and also to determine the heating lines and heat conditions, in order to get a desired shape (i.e.

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Section: Literature Reviewmentioning

confidence: 99%

Analysis and synthesis of laser forming process using neural networks and neuro-fuzzy inference system

2012

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“…[4][5][6][7][8] Principally, this has been motivated by the interest to know how each one of the parameters affects the process. Unfortunately, the process needs the coupled analysis of the thermal and structural behavior, ignoring the microstructural behavior.…”

Section: Introductionmentioning

confidence: 99%

Comparative study of numerical models of the laser forming process

Cruz

Lange

Medellín-Castillo

2015

Journal of Laser Applications

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Even though the laser forming process is not used at a large scale, it has a potential value for small product series. Its advantage is in its capacity to deform a sheet into arbitrary shapes by a contact-free laser irradiation, avoiding the need for costly tools in which materials need to be formed in arbitrary shapes. One of the reasons that the process has not become very popular is by the difficulty to predict and control the process and determine the right processing plan to obtain the shape needed. The simulation of the laser forming process is not easy to carry out, because the nature of the problem is three-dimensional and the process is transient. In addition, the description of the material behavior, which includes thermo-elastoplastic behavior, is complex and results in strongly nonlinear problems. Moreover, the temperature dependent material behavior, including the microstructural evolution of the material is often not known to a sufficient degree of precision, which leads to approximate descriptions. For that reason, in the current study a simple application, bending of a flat plate by irradiation over a straight line, is studied by a range of models with a varying degree of complexity. The models are compared in order to evaluate if a simplified model can be used to obtain adequate numerical results under particular conditions. Simplifications can be the reduction of the moving point heat source to a fixed but transient line heat source over the complete trajectory, or reducing the 3D model to a 2D model. From the analysis, it becomes clear that the effects of all three dimensions and the heat source movement are relevant for the ultimate precision of the simulation results, and to obtain the correct tendencies of the effect of changes of some of the parameters on the process results. Nevertheless, the results also demonstrate that some relevant thermal and stress data can be obtained using simplified models at a considerably lower computational cost. In particular, the thermal data are less affected by model simplifications, whereas the stress and deformation fields are more sensitive to the model approximations. An improved 2D model is proposed and evaluated, which is able to take into account the effect of the moving point heat source, while ignoring the longitudinal dimension.

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“…Thomson and Pridham (1998), Kyrsanidi et al (2000), Hennige (2000), Cheng and Lin (2001), Hu et al (2002), Shichun and Zhong (2002), , , Chen et al (2004) and Hsieh and Lin (2004). More specifically in Thomson and Pridham (1998), Hennige (2000) and Chen et al (2004) deal with process development, process parametric investigations and optimization, in Kyrsanidi et al (2000) and Cheng and Lin (2001) refer to simplified analytical solutions, while focuses to the comparison of Eulerian and Lagrangian approaches to LBF problem. In Hu et al (2002), Shichun and Zhong (2002), and Hsieh and Lin (2004) different thermo-mechanical simulations are presented, which have some similarities to the presently developed model.…”

Section: Introductionmentioning

confidence: 99%

Development of a local three-dimensional numerical simulation model for the laser forming process of aluminium components

Labeas

2008

Journal of Materials Processing Technology

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An analytical model for the prediction of distortions caused by the laser forming process

Cited by 93 publications

References 4 publications

Analysis and synthesis of laser forming process using neural networks and neuro-fuzzy inference system

Analysis and synthesis of laser forming process using neural networks and neuro-fuzzy inference system

Comparative study of numerical models of the laser forming process

Development of a local three-dimensional numerical simulation model for the laser forming process of aluminium components

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