Investigation of heat source modeling for selective laser melting

Wessels, Henning; Bode, T.; Weißenfels, Christian; Wriggers, Peter; Zohdi, Tarek I.

doi:10.1007/s00466-018-1631-4

Cited by 49 publications

(17 citation statements)

References 35 publications

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“…There are some differences among welding processes in terms of physical characteristics and temperature distribution of the heat input. As a result, various heat source models were established utilizing different formulations [13][14][15][16][17], which showed a good agreement with experimental data in temperature fields of welded joints.…”

Section: Introductionmentioning

confidence: 83%

Efficient analysis of welding thermal conduction using the Newton–Raphson method, implicit method, and their combination

Feng

et al. 2020

Int J Adv Manuf Technol

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Finite element analysis is commonly used to investigate the thermal-mechanical phenomena during welding. To improve the computing efficiency of finite element analysis for welding thermal conduction, a novel Newton-Raphson method (NRM) without the computation of inverse matrix and a hybrid method combing the NRM and conventional implicit method (IMP) were developed. Comparison of computing time between the hybrid method implemented in an in-house software JWRIAN and the IMP used in a commercial software ABAQUS indicated that the computing speed of the former was about 4.5 times faster than that of the latter. Additionally, compared to the conventional IMP, the NRM exhibited higher computing efficiency in the analysis of transient thermal conduction during the welding heating process. Meanwhile, a combined hybrid method of the NRM and IMP was verified to be more efficient in analyzing the welding thermal conduction throughout the heating and cooling processes. Moreover, the thermal cycles computed by the hybrid method were consistent with those from experimental measurement, indicating the high accuracy of the hybrid method. Furthermore, the hybrid method was used to predict the temperature field of the corner boxing fillet joint welded by a low transformation temperature weld metal for generation of compressive residual stress.

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Section: Introductionmentioning

confidence: 83%

Efficient analysis of welding thermal conduction using the Newton–Raphson method, implicit method, and their combination

Feng

et al. 2020

Int J Adv Manuf Technol

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“…It is possible to derive an explicit expression for the optimal strain distributions by using (47) and by solving these equations with respect to the Lagrange multipliers…”

Section: Homogenisation Via Convexificationmentioning

confidence: 99%

“…Various models exist for the application of the heat flux r ext generated by the laser beam as accurately as possible, see e.g. [20,22,26,47]. For this model, a volumetric heat source as proposed in [19] for welding is adjusted for SLM, such that the external heat source is defined within the Abaqus subroutine DFLUX by…”

Section: Simulation Of Basic Slm Processesmentioning

confidence: 99%

A computational phase transformation model for selective laser melting processes

2020

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Selective laser melting (SLM) has gained large interest due to advanced manufacturing possibilities. However, the growing potential also necessitates reliable predictions of structures in particular regarding their long-term behaviour. The constitutive and structural response is thereby challenging to reproduce, due to the complex material behaviour. This motivates the aims of this contribution: To establish a material model that accounts for the behaviour of the different phases occurring during SLM but that still allows the use of (basic) process simulations. In particular, the present modelling framework explicitly takes into account the mass fractions of the different phases, their mass densities, and specific inelastic strain contributions. The thermomechanically fully coupled framework is implemented into the software Abaqus. The numerical examples emphasise the capabilities of the framework to predict, e.g., the residual stresses occurring in the final part. Furthermore, a postprocessing of averaged inelastic strains is presented yielding a micromechanics-based motivation for inherent strains.

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“…A coupling algorithm of ray tracing with meshfree methods can be found in [21]. The influence of the heat source modeling on the fusion of particles is also investigated therein.…”

Section: Influence Of Laser Heat Source Modelingmentioning

confidence: 99%

Computational Mechanics in Science and Engineering – Quo Vadis

Wriggers¹,

Aldakheel²,

Marino³

et al. 2018

Rad Hrvatske akademije znanosti i umjetnosti

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Computational Mechanics has many applications in science and engineering. Its range of application has been enlarged widely in the recent decades. Hence, nowadays areas such as biomechanics and additive manufacturing are among the new research topics, in which computational mechanics helps solve complex problems and processes. In this contribution, these emerging areas will be discussed together with new discretization schemes, e. g. virtual element method and particle methods, whereby the latter need high performance computing facilities in order to solve problems such as mixing in an accurate way. Failure analysis of structures and components is another topic that is developing fast. Here, modern computational approaches rely on the phase field method that simplifies discretizations schemes. All these approaches and methods are discussed and evaluated by means of examples.

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Investigation of heat source modeling for selective laser melting

Cited by 49 publications

References 35 publications

Efficient analysis of welding thermal conduction using the Newton–Raphson method, implicit method, and their combination

Efficient analysis of welding thermal conduction using the Newton–Raphson method, implicit method, and their combination

A computational phase transformation model for selective laser melting processes

Computational Mechanics in Science and Engineering – Quo Vadis

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