Mesoscale multi-physics simulation of rapid solidification of Ti-6Al-4V alloy

Liu, Dehao; Wang, Yan

doi:10.1016/j.addma.2018.12.005

Cited by 25 publications

(16 citation statements)

References 43 publications

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“…Scans were performed using a Nikon XT H 225 machine. Considering only the gauge length as the region of interest, samples were positioned close to the X-ray gun to obtain a high resolution, with a voxel size of 14.8 × 14.8 × 14.8 μm 3 . During all scans, the scanning parameters were kept constant.…”

Section: Xct Measurementmentioning

confidence: 99%

“…The mechanism of defect formation has been widely investigated in the literature. Simulation and analytical models [3,4] as well as experimental campaigns [5,6] were carried out to determine in which condition it is possible to obtain fully dense parts. For this purpose, process maps have been developed to identify the optimal process parameters (usually laser power and laser speed) with respect to the porosity content [7][8][9][10], even if defects can also occur when optimal process conditions are assumed [11].…”

Section: Introductionmentioning

confidence: 99%

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The effect of energy density and porosity structure on tensile properties of 316L stainless steel produced by laser powder bed fusion

et al. 2022

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Understanding the influence of process parameters and defect structure on the properties of parts produced via laser powder bed fusion (L-PBF) is a fundamental step towards the broader use of additive manufacturing technologies in critical applications. Furthermore, the ability to predict mechanical properties by simply considering information on the process parameters and defects observed via X-ray computer tomography (XCT) allows one to avoid expensive destructive testing, provide an in-depth understanding of the process quality and represents a viable solution towards process optimisation. Most of the previous works showed that energy density could be used as an excellent synthetic indicator to predict the mechanical properties of parts produced by L-PBF. This paper explores the effect of different energy density levels on the tensile properties of 316L stainless steel parts produced by L-PBF. Different from previous works in the literature, the same level of energy density is obtained considering various combinations of process parameters (speed, power and hatch distance). While energy density is shown to be a good synthetic indicator for predicting ultimate tensile strength (UTS) and yield strength (YS), a different behaviour is observed for elongation. Elongation shows a significant variability even when samples are produced at the same level of energy density, which contrasts with results obtained for UTS and YS. Synthetic indices representing the porosity structure are shown to be quite significant for predicting elongation even when the optimal energy density is considered. By combining process parameters with porosity structure, we show that almost a full prediction of the tensile properties can be achieved, paving the way for a significant reduction in expensive destructive tests.

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Section: Xct Measurementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The effect of energy density and porosity structure on tensile properties of 316L stainless steel produced by laser powder bed fusion

et al. 2022

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“…Some notable PF codes include Tusas [70,71] and AMPE [72,73]. Some recent cases of 2D PF modeling include those by Kundin et al [74] for the selective laser melting, Karma and Tourret [75], Nie et al for AM of nickel-based superalloy [76], Sahoo and Chou [77] for prediction of microstructure evolution of Ti6Al4V, Liu and Wang [78] for the simulation of β-grain solidification during the SLM process for Ti6Al4V and Liu and Shin [79] for Ti-TiC composites. The major shortcoming of PF modeling is the high computational cost, and hence, PF modeling has been carried out on very small domains of a few tens of microns, often in 2D configuration although the actual microstructure should be 3D in nature.…”

Section: Modeling Of Directed Energy Depositionmentioning

confidence: 99%

Overview of Laser Applications in Manufacturing and Materials Processing in Recent Years

Shin

Lei

et al. 2020

Journal of Manufacturing Science and Engineering

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Recent years have witnessed a rapid growth of the laser market. Figure 1 shows the recent revenues of laser sales with about 50% increase in revenue over recent four years , which far exceeds the growth of other industrial sectors. More than one third of this revenue belongs to the category of laser materials processing arena. Undoubtedly, lasers have been playing increasingly important roles in various industrial manufacturing sectors. This article is to capture some of important developments in the rapidly growing areas of laser-based manufacturing and materials processing and also describe important technological issues pertaining to various laser-based manufacturing processes. The topics to be covered in this paper include more popularly used processes in industry such as laser additive manufacturing, laser-assisted machining, laser micromachining, laser forming, laser surface texturing, laser welding, and laser shock peening, although there are several additional areas of laser applications. In each section, a brief overview of the process is provided, followed by critical issues in implementing the process, such as properties, predictive modeling, and process monitoring, and finally some remarks on future issues that can guide researchers and practitioners.

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“…Ohno and Matsuura [ 17 , 18 ] extended the phase-field model developed by Karma to contain the solid diffusion coefficient. Liu et al [ 19 ] simulated the dendrite growth process of Ti-6Al-4V alloy and revealed the details of the formation of the secondary dendrite arms. Sun et al [ 20 ] used the multi-component phase-field model to conduct 2D and 3D simulations of Ti-6Al-4V alloy and found that the phenomenon of dendrite merger will increase the dendrite spacing and coarse dendrite.…”

Section: Introductionmentioning

confidence: 99%

The Morphology and Solute Segregation of Dendrite Growth in Ti-4.5% Al Alloy: A Phase-Field Study

et al. 2021

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Ti-Al alloys have excellent high-temperature performance and are often used in the manufacture of high-pressure compressors and low-pressure turbine blades for military aircraft engines. However, solute segregation is easy to occur in the solidification process of Ti-Al alloys, which will affect their properties. In this study, we used the quantitative phase-field model developed by Karma to study the equiaxed dendrite growth of Ti-4.5% Al alloy. The effects of supersaturation, undercooling and thermal disturbance on the dendrite morphology and solute segregation were studied. The results showed that the increase of supersaturation and undercooling will promote the growth of secondary dendrite arms and aggravate the solute segregation. When the undercooling is large, the solute in the root of the primary dendrite arms is seriously enriched, and when the supersaturation is large, the time for the dendrite tips to reach a steady-state will be shortened. The thermal disturbance mainly affects the morphology and distribution of the secondary dendrite arms but has almost no effect on the steady-state of the primary dendrite tips. This is helpful to understand the cause of solute segregation in Ti-Al alloy theoretically.

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Mesoscale multi-physics simulation of rapid solidification of Ti-6Al-4V alloy

Cited by 25 publications

References 43 publications

The effect of energy density and porosity structure on tensile properties of 316L stainless steel produced by laser powder bed fusion

The effect of energy density and porosity structure on tensile properties of 316L stainless steel produced by laser powder bed fusion

Overview of Laser Applications in Manufacturing and Materials Processing in Recent Years

The Morphology and Solute Segregation of Dendrite Growth in Ti-4.5% Al Alloy: A Phase-Field Study

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