A Review of SLMed Magnesium Alloys: Processing, Properties, Alloying Elements and Postprocessing

Liu, Shuai; Guo, Hanjie

doi:10.3390/met10081073

Cited by 34 publications

(19 citation statements)

References 183 publications

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“…According to one of the consequences of the optimality criterion for distributed systems with compromise control [4], we have the following:…”

Section: Solution Of the Distributed Optimal Control Problemmentioning

confidence: 99%

“…The questions of optimization problem solution existence for parabolic systems with objective functional in special forms was discussed in [4]. For the existence of at least one function u 0 (t) (optimal element) on which the functional (40) reaches its exact lower bound, it is necessary that the functional possess the properties of convexity, lower semicontinuity, and coercivity as follows…”

Section: Optimal Control Problem: a Simplified Mathematical Model Of Fiber Drawingmentioning

confidence: 99%

“…In accordance with the optimality criterion the value of the Gato differential [4] at the optimal element, u 0 equals to zero as follows:…”

Section: Optimal Control Problem: a Simplified Mathematical Model Of Fiber Drawingmentioning

confidence: 99%

“…One of the key methods for the final quality control of special anisotropic fibers is reflectometry. Reflectometric control makes it possible to determine changes in the fiber diameter and fiber refractive index by an indirect sign (optical power dissipation) [4].…”

Section: Introductionmentioning

confidence: 99%

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Fabrication of Silica Optical Fibers: Optimal Control Problem Solution

Pervadchuk

Vladimirova

Kuchumov

et al. 2021

Fibers

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In this work, a new approach to solving problems of optimal control of manufacture procedures for the production of silica optical fiber are proposed. The procedure of silica tubes alloying by the Modified Chemical Vapor Deposition (MCVD) method and optical fiber drawing from a preform are considered. The problems of optimal control are presented as problems of controlling distributed systems with objective functionals and controls of different types. Two problems are formulated and solved. The first of them is the problem of the temperature field optimizing in the silica tubes alloying process in controlling the consumption of the oxygen–hydrogen gas mixture (in the one- and two-dimensional statements), the second problem is the geometric optimization of fiber shape in controlling the drawing velocity of the finished fiber. In both problems, while using an analog to the method of Lagrange, the optimality systems in the form of differential problems in partial derivatives are obtained, as well as formulas for finding the optimal control functions in an explicit form. To acquire optimality systems, the qualities of lower semicontinuity, convexity, and objective functional coercivity are applied. The numerical realization of the obtained systems is conducted by using Comsol Multiphysics.

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“…According to one of the consequences of the optimality criterion for distributed systems with compromise control [4], we have the following:…”

Section: Solution Of the Distributed Optimal Control Problemmentioning

confidence: 99%

Section: Optimal Control Problem: a Simplified Mathematical Model Of Fiber Drawingmentioning

confidence: 99%

“…In accordance with the optimality criterion the value of the Gato differential [4] at the optimal element, u 0 equals to zero as follows:…”

Section: Optimal Control Problem: a Simplified Mathematical Model Of Fiber Drawingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fabrication of Silica Optical Fibers: Optimal Control Problem Solution

Pervadchuk

Vladimirova

Kuchumov

et al. 2021

Fibers

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“…9 During conventional rolling, a good number of grains are oriented so that their basal planes are parallel to the sheet plane. 3,10 Meanwhile, rolled Mg sheets tend to exhibit strong texture, serious edge cracks and lower plasticity, which limit more widespread industrial applications. 11 Therefore, the research and development of low-cost, high-efficiency forming technology to produce high-performance Mg alloy is the focus in recent years.…”

Section: Introductionmentioning

confidence: 99%

Effect of single-pass large-strain tube pack-rolling on forming AZ61 alloy strip

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part L:

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In this paper, a novel manufacturing strategy named as tube pack-rolling (TPR) was proposed. In the process, Mg-6Al-1Zn-0.3Mn (wt%) (AZ61) bar was packed by stainless-steel tube to be rolled at elevated temperature. In order to compare the advantage of TPR, AZ61 bar was also rolled without stainless-steel tube which is named naked-rolling (NR). The stainless-steel was picked as the pack material because of its high strength and hardness which can completely restrain the deformation of magnesium alloy. Numeral simulations were employed to analyze the strip shape and formability. The optimized parameters of contour control are discussed. Tensile tests at room temperature show that specimen rolled by TPR at 673 K exhibit good comprehensive mechanical properties, and the yield strength and ultimate tensile strength reached 213 MPa and 305 MPa with the elongation of 23.2%. The microstructure was investigated by optical microscopes (OM) and electron back scattered diffraction (EBSD). The AZ61 alloy strip rolled by TPR at 673 K exhibited homogenous almost fine dynamically recrystallized equiaxed grains (about 5 µm) with a weak texture. Meanwhile the microstructure evolution mechanism also shows the temperature has significant effect on TPR processing.

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Effects of Scanning Strategy on the Densification and Microhardness of Selective Laser Melting Mg–Y–Sm–Zn–Zr Alloy

Wang

et al. 2022

Adv Eng Mater

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Selective laser melting (SLM) technology is an essential technology in laser powder bed fusion (LPBF) additive manufacturing and has attracted attention because it can produce highperformance near-net-shape parts. [1] SLM technology uses computer-aided design (CAD) to model parts in three dimensions. The model was then sliced into two dimensions using the software. [2] The metal powder is laid layer-wise according to the set thickness. The high-energy laser beam melts the powder layer by layer according to a predetermined scanning path, and finally obtains complex parts. [3] Due to the advantages of high precision and low material loss, SLM technology is widely used in aerospace, biomedicine, and other fields, as well as the production of aluminum, titanium alloys, steel, and other materials. [4][5][6] Magnesium alloys are considered the lightest structural metal materials. [7] However, magnesium alloys prepared by casting will produce defects such as shrinkage cavities, pores, inclusions, and composition segregation. [8] This will limit its development. Therefore, the researchers used SLM technology to design magnesium alloy parts. This technology makes up for the shortcomings of traditional processing methods and improves the comprehensive properties of magnesium alloys. [9] The SLM processing has the characteristics of point-by-point scanning, line-by-line connection, and layer-by-layer deposition. This results in a complex thermal history and thermal cycling of the part. The energy input of the local high-energy laser beam can lead to complex molten pool flow behavior. [10] Therefore, the formed parts will generate pore defects affected by the above-mentioned complex factors. The scanning strategy directly changes the scanning path of the laser, which will affect the transmission of laser energy in the metal powder, resulting in different melting and solidification behaviors of the material, and thus has a significant impact on the type and distribution of pore defects formed in parts. [11] Guo et al. [12] compared the AlSi10Mg bulk prepared by the island and conventional scanning strategies. Concluded that the relative density of the island scanning strategy is higher than that of the conventional scanning strategy. Lu et al. [13] used the island scanning strategy to fabricate Inconel-718 blocks. The study showed that the scanning strategy with the smallest island size reduces the relative density due to the accumulation of powder on the island boundary, resulting in a higher porosity than other island sizes. Kudzal et al. [14] obtained 17-4 stainless steel tensile samples using powder bed fusion technology and explored the relationship with porosity by using different scanning strategies. The study showed that the scanning strategy would affect the type of pore defects. By comparing the island scanning strategy, zigzag scanning strategy, and remelting scanning strategy, Gu et al. [15] found that defects will appear on the surface of samples prepared by island scanning and zigzag scanning strategies. Still, ...

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A Review of SLMed Magnesium Alloys: Processing, Properties, Alloying Elements and Postprocessing

Cited by 34 publications

References 183 publications

Fabrication of Silica Optical Fibers: Optimal Control Problem Solution

Fabrication of Silica Optical Fibers: Optimal Control Problem Solution

Effect of single-pass large-strain tube pack-rolling on forming AZ61 alloy strip

Effects of Scanning Strategy on the Densification and Microhardness of Selective Laser Melting Mg–Y–Sm–Zn–Zr Alloy

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