An efficient and high-fidelity local multi-mesh finite volume method for heat transfer and fluid flow problems in metal additive manufacturing

Li, Ming-Jian; Chen, Jiawei; Lian, Yuan; Xiong, Feiyu; Fang, Daining

doi:10.1016/j.cma.2022.115828

Cited by 22 publications

(4 citation statements)

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“…In particular, they looked at how the accuracy, union rate, and overall computational performance of the suggested method were affected by the choice of spatial discretization conspire for the convective terms. Addressing heat transfer and liquid stream problems in additive manufacturing, Li et al (2022) suggested a smart neighbourhood multi-network limited volume technique. This approach uses two lattice configurations-a coarse base cross section and an improved overlay network-to find the space's naturally visible temperature field and, separately, the mesoscopic heat flow and liquid stream problem inside a typically small area surrounding the soften pool.…”

Section: Introduction-mentioning

confidence: 99%

Finite Volume Method: An Efficient Tool for Transport Equation Solutions

Pradeep Kashyap

2023

tjjpt

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A strong and flexible numerical method for solving transport equations encountered in various scientific and engineering applications is the Finite volume method (FVM). The free-volume model (FVM) provides a strong basis for modeling the advection-dominated transport phenomena by partitioning the domain into control volumes and applying the conservation rules here. Focusing on its efficiency and accuracy, this paper delves into the basic concepts of the FVM and how it is applied to solve transport equations. Topics covered include numerical flux formulas, consideration of boundary conditions, spatial and temporal discretization techniques, and other important details. We prove that the technique can capture both continuous and discrete solutions to complicated transport phenomena by thoroughly analyzing its benefits. Our numerical findings show that the Finite Volume Method is useful in solving many kinds of transport equations, and they come from real-world applications. We highlight the method's flexibility to handle various problem situations and its ability to improve computational performance through parallel computing. While exploring the Finite Volume Method's potential, we take into account the factors that could affect its implementation. We go over current innovations and those on the horizon, pointing out places where things could be optimized and improved. In order to help researchers, engineers, and practitioners in their fields who are looking for efficient computational methods to simulate transport phenomena with reliable results, this study aims to give a brief but thorough overview of the FVM.

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Section: Introduction-mentioning

confidence: 99%

Finite Volume Method: An Efficient Tool for Transport Equation Solutions

Pradeep Kashyap

2023

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“…The second type of LDED numerical model considers powder delivery and is recognized as a powder-scale model [18][19][20]. In this model, the powder handling approach can be categorized into two types based on the level of computational accuracy.…”

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confidence: 99%

Investigation of molten pool geometry and flow field based on powder scale modeling in laser directed energy deposition

Liu,

et al. 2024

Preprint

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Laser directed energy deposition (LDED) technology is currently facing challenges in controlling geometry accuracy of metal components. There is an urgent need to develop a numerical model that is more efficient and accurate compared to existing models and to analyze the dynamic behavior of the melt pool under the interaction of process parameters during LDED process to optimize parameters with fewer experimental studies to reduce costs. Therefore, a 3D powder scale multi-physics model is proposed during the single track LDED process in this study. The powder particles are added by a Lagrangian particle model in this model without the need for assuming that the powder particles entering the molten pool are added by the mass source term, which improves model accuracy and efficiency. The effect of Energy per Unit Mass (EUM, J/g), Mass per Unit Length (MUL, g/mm) and standoff distance (SD, mm) intensities on transient molten pool motion and flow field are comprehensively investigated. It is discovered that the proposed model is able to predict the single track height, width, depth and dilution rate, or less than 9% relative error from experimentation, providing a useful tool for track geometry to predict. Further, the flow velocity, width and depth of melt pool also gradually are improved with higher EUM, MUL and SD intensity and fluctuates within a small range. However, the height is improved and then decreases with higher SD intensity, and is improved with higher EUM or MUL. Overall, this study contributes to developing an optimizing process approach to improve formation accuracy for LDED manufacturing.

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“…The majority of scientific studies use finite element methods to model the prediction of the thermal functioning of phase change materials or buildings and composites containing PCMs [78][79][80][81]; some use the finite differences method [82][83][84][85] and, more rarely, the finite volumes method [86,87].…”

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confidence: 99%

“…When modelling more complex problems concerning PCM systems, where it is required to consider the heat transfer between a thermal energy battery and the environment inside a building or another building component by convection and radiation, then the finite elements method equations are used. Such calculations are often performed using MAT-LAB [63], Adina [59] Energy Plus [86], or Ansys fluent [88] software. A different approach is presented for using the fuzzy inference method and artificial neural networks [73][74][75][76][77].…”

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confidence: 99%

Modern Thermal Energy Storage Systems Dedicated to Autonomous Buildings

2023

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This paper presents a detailed analysis of the research into modern thermal energy storage systems dedicated to autonomous buildings. The paper systematises the current state of knowledge concerning thermal energy storage systems and their use of either phase change materials or sorption systems; it notes their benefits, drawbacks, application options, and potential directions for future development. The rapid proliferation of studies on installation systems, new composites, and phase change materials requires a systematisation of the subject related to short- and long-term thermal energy storage in building structures. This paper focuses on assessing the validity of the current improved thermal energy storage solutions for buildings with very high energy efficiency standards and buildings that are energy-independent. The paper presents the current results of the energy and economic analyses of the use of heat storage systems in buildings. This paper shows the optimal heat storage systems for autonomous buildings. Moreover, it also shows other potential ways to develop systems and composites capable of storing heat in autonomous buildings.

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An efficient and high-fidelity local multi-mesh finite volume method for heat transfer and fluid flow problems in metal additive manufacturing

Cited by 22 publications

References 50 publications

Finite Volume Method: An Efficient Tool for Transport Equation Solutions

Finite Volume Method: An Efficient Tool for Transport Equation Solutions

Investigation of molten pool geometry and flow field based on powder scale modeling in laser directed energy deposition

Modern Thermal Energy Storage Systems Dedicated to Autonomous Buildings

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