数字孪生体激光金属加热的二维线性有限元模拟

D. Montoya-Zapata, Juan M. Rodríguez, A. Moreno, J. Posada, O. Ruiz-Salguero
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引用次数: 3

摘要

在激光增材制造的背景下,基板的热行为与确定工艺参数有关-à-vis片质量。现有文献主要关注两个工艺变量:(a)集总激光功率和(b)工艺速度。然而,本文献没有考虑其他变量,如与激光功率分布有关的变量。为了填补这一真空,除了上面的(a)和(b),本文还包括了二维线性衬底加热模拟中的激光功率空间分布(高斯、均匀圆形和均匀矩形)。将激光能量建模为时域上的热流边界条件。所有空间分布的总激光输出功率是相同的。结果表明,激光强度的空间分布对最高温度、热影响区的深度和宽度有较大的影响。与非线性分析相比,这些二维有限元模拟被证明是基于数字孪生的设计环境的良好选择,因为它们简单且温度误差合理(在这种情况下被认为是基本事实)。未来的出版物解决了激光加热过程的非线性有限元模拟(包括对流和辐射以及与温度相关的衬底性质)。
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2D linear finite element simulation of laser metal heating for digital twins
In the context of laser-based additive manufacturing, the thermal behavior of the substrate is relevant to define process parameters vis-à-vis piece quality. The existing literature focuses on two process variables: (a) lumped laser power and (b) process speed. However, this literature does not consider other variables, such as those related to the laser power distribution. To fill this vacuum, this manuscript includes the laser power spatial distributions (Gaussian, uniform circular and uniform rectangular) in addition to (a) and (b) above in 2D linear substrate heating simulations. The laser energy is modeled as a time dependent heat flux boundary condition on top of the domain. The total laser delivered power was identical for all spatial distributions. The results show that the laser intensity spatial distribution strongly affects the maximum temperature, and the depth and width of the heat affected zone. These 2D finite element simulations prove to be good options for digital twin based design environments, due to their simplicity and reasonable temperature error, compared to non-linear analysis (considered as ground truth for this case). Future publications address non-linear finite element simulations of the laser heating process (including convection and radiation and temperature dependent substrate properties).
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来源期刊
CiteScore
2.00
自引率
0.00%
发文量
19
审稿时长
16 weeks
期刊介绍: The International Journal for Simulation and Multidisciplinary Design Optimization is a peer-reviewed journal covering all aspects related to the simulation and multidisciplinary design optimization. It is devoted to publish original work related to advanced design methodologies, theoretical approaches, contemporary computers and their applications to different fields such as engineering software/hardware developments, science, computing techniques, aerospace, automobile, aeronautic, business, management, manufacturing,... etc. Front-edge research topics related to topology optimization, composite material design, numerical simulation of manufacturing process, advanced optimization algorithms, industrial applications of optimization methods are highly suggested. The scope includes, but is not limited to original research contributions, reviews in the following topics: Parameter identification & Surface Response (all aspects of characterization and modeling of materials and structural behaviors, Artificial Neural Network, Parametric Programming, approximation methods,…etc.) Optimization Strategies (optimization methods that involve heuristic or Mathematics approaches, Control Theory, Linear & Nonlinear Programming, Stochastic Programming, Discrete & Dynamic Programming, Operational Research, Algorithms in Optimization based on nature behaviors,….etc.) Structural Optimization (sizing, shape and topology optimizations with or without external constraints for materials and structures) Dynamic and Vibration (cover modelling and simulation for dynamic and vibration analysis, shape and topology optimizations with or without external constraints for materials and structures) Industrial Applications (Applications Related to Optimization, Modelling for Engineering applications are very welcome. Authors should underline the technological, numerical or integration of the mentioned scopes.).
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