scholarly journals Effect of Alloying Mn by Selective Laser Melting on the Microstructure and Biodegradation Properties of Pure Mg

Metals ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 1527
Author(s):  
Bin Xie ◽  
Ming-Chun Zhao ◽  
Ying-Chao Zhao ◽  
Yan Tian ◽  
Dengfeng Yin ◽  
...  
Keyword(s):  
Manganese Oxide ◽  
Selective Laser Melting ◽  
Immersion Test ◽  
Biodegradation Rate ◽  
Laser Melting ◽  
Xps Spectra ◽  
Average Grain Size ◽  
Mn Content ◽  
Surface Morphologies ◽  
Effect Of Alloying

This work studied the effect of alloying Mn by selective laser melting on the microstructure and biodegradation properties of pure Mg. The grains in the microstructure were quasi-polygon in shape. The average grain size was similar (~10 μm) for the SLMed Mg-xMn with different Mn contents. The XPS spectra of the corrosion surface showed that alloying Mn into Mg by SLM produced a relatively protective manganese oxide film, which contributed to decreasing the biodegradation rate. All the results of the electrochemistry test, immersion test and the corrosion surface morphologies coincided well. The SLMed Mg-0.8Mn had the lowest biodegradation rate. When Mn content was more than 0.8 wt.%, the influence of the undissolved Mn phase on the decrease of the biodegradation resistance counteracted the influence of the relatively protective manganese oxide layer on the increase of the biodegradation resistance.

scholarly journals Graphene Oxide Reinforced Iron Matrix Composite With Enhanced Biodegradation Rate Prepared by Selective Laser Melting

2019 ◽  
Vol 21 (8) ◽  
pp. 1900314 ◽  
Author(s):  
Ying‐Chao Zhao ◽  
Yue Tang ◽  
Ming‐Chun Zhao ◽  
Long Liu ◽  
Chengde Gao ◽  
...  
Keyword(s):  
Graphene Oxide ◽  
Selective Laser Melting ◽  
Matrix Composite ◽  
Biodegradation Rate ◽  
Laser Melting ◽  
Iron Matrix ◽  
Enhanced Biodegradation

scholarly journals Achieving Ti-5Al-4Sn-2Zr-1Mo-0.25Si-1Nb Alloys with High Strength and Moderate Ductility through Selective Laser Melting

Materials ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 5527
Author(s):  
Jiangtao Ran ◽  
Xiaojing Sun ◽  
Shiliang Wei ◽  
Zhuo Chen ◽  
Hong Zhao
Keyword(s):  
Tensile Strength ◽  
Titanium Alloy ◽  
Selective Laser Melting ◽  
Laser Power ◽  
High Strength ◽  
Composition Analysis ◽  
Laser Melting ◽  
Energy Dispersion Spectrum ◽  
Average Grain Size ◽  
Cruise Missiles

Ti-5Al-4Sn-2Zr-1Mo-0.25Si-1Nb (TA32) titanium alloy is a kind of near α high temperature titanium alloy with great application prospects in aero-engine afterburners and cruise missiles. However, there are still few studies on the microstructure and mechanical properties of TA32 specimens produced by selective laser melting (SLM) technology. In this study, TA32 specimens with high strength (tensile strength of 1267 MPa) and moderate ductility (elongation after fracture of 8%) were obtained by selective laser melting. The effect of laser power on the microstructure and mechanical behavior was studied and the results demonstrated that the average grain size increases with increasing laser power from 200 W to 400 W. Micro-zone composition analysis was carried out by energy dispersion spectrum (EDS), showing that the Al concentration inner grains is higher than that near grain boundaries. Fracture analysis results demonstrated that the fracture mode of SLM TA32 specimens was cleavage fracture. The tensile strength of the specimens built with a laser power of 250 W at 500 °C, 550 °C and 600 °C was measured as 869 MPa, 819 MPa and 712 MPa, respectively.

scholarly journals Effect of Alloying on the 316L and 321 Steels Samples Obtained by Selective Laser Melting

2017 ◽  
Vol 89 ◽  
pp. 172-178 ◽  
Author(s):  
Anton Zhukov ◽  
Artem Deev ◽  
Pavel Kuznetsov
Keyword(s):  
Selective Laser Melting ◽  
Laser Melting ◽  
Effect Of Alloying

scholarly journals Biodegradation, Antibacterial Performance, and Cytocompatibility of a Novel ZK30-Cu-Mn Biomedical Alloy Produced by Selective Laser Melting

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Bin Xie ◽  
Ming-Chun Zhao ◽  
Rong Xu ◽  
Ying-Chao Zhao ◽  
Deng-Feng Yin ◽  
...  
Keyword(s):  
Grain Size ◽  
Oxide Layer ◽  
Selective Laser Melting ◽  
Significant Influence ◽  
Surface Oxide Layer ◽  
Biodegradation Rate ◽  
Laser Melting ◽  
Antibacterial Performance ◽  
Biomedical Alloy ◽  
Mg Content

An antibacterial biomedical Mg alloy was designed to have a low biodegradation rate. ZK30-0.2Cu-xMn (x = 0, 0.4, 0.8, 1.2, and 1.6 wt.%) was produced by selective laser melting (SLM). Alloying with Mn had a significant influence on the grain size, hardness, and biodegradation rate. Increasing Mg content to 0.8 wt% decreased the biodegradation rate, attributed to the decreased grain size and the relatively protective manganese surface oxide layer. Higher Mn contents increased the biodegradation rate attributed to the presence of the Mn-rich particles. ZK30-0.2Cu-0.8Mn exhibited the lowest biodegradation rate, strong antibacterial performance and good cytocompatibility.

scholarly journals As-fabricated surface morphologies of Ti-6Al-4V samples fabricated by different laser processing parameters in selective laser melting

2020 ◽  
Vol 33 ◽  
pp. 101147 ◽  
Author(s):  
Snehashis Pal ◽  
Gorazd Lojen ◽  
Radovan Hudak ◽  
Viktoria Rajtukova ◽  
Tomaž Brajlih ◽  
...  
Keyword(s):  
Selective Laser Melting ◽  
Laser Processing ◽  
Processing Parameters ◽  
Laser Melting ◽  
Surface Morphologies

scholarly journals Predicting the Printability in Selective Laser Melting with a Supervised Machine Learning Method

Materials ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 5063
Author(s):  
Yingyan Chen ◽  
Hongze Wang ◽  
Yi Wu ◽  
Haowei Wang
Keyword(s):  
Machine Learning ◽  
Selective Laser Melting ◽  
Process Parameter ◽  
Supervised Machine Learning ◽  
Laser Melting ◽  
Metallographic Examination ◽  
Free Process ◽  
Input Variables ◽  
Surface Morphologies

Though selective laser melting (SLM) has a rapidly increasing market these years, the quality of the SLM-fabricated part is extremely dependent on the process parameters. However, the current metallographic examination method to find the parameter window is time-consuming and involves subjective assessments of the experimenters. Here, we proposed a supervised machine learning (ML) method to detect the track defect and predict the printability of material in SLM intelligently. The printed tracks were classified into five types based on the measured surface morphologies and characteristics. The classification results were used as the target output of the ML model. Four indicators had been calculated to evaluate the quality of the tracks quantitatively, serving as input variables of the model. The data-driven model can determine the defect-free process parameter combination, which significantly improves the efficiency in searching the process parameter window and has great potential for the application in the unmanned factory in the future.

MANUFACTURING NOVEL HEAT TRANSFER DEVICES BY SELECTIVE LASER MELTING

Equipment ◽  
2006 ◽  
Author(s):  
S. Tsopanos ◽  
M. Wong ◽  
I. Owen ◽  
C. J. Sutcliffe
Keyword(s):  
Heat Transfer ◽  
Selective Laser Melting ◽  
Laser Melting

Properties of Ti-6Al-4V titanium alloys obtained by selective laser melting

2019 ◽  
pp. 46-57
Author(s):  
M.A. Kaplan ◽  
◽  
М.A. Smirnov ◽  
A.A. Kirsankin ◽  
M.A. Sevostyanov ◽  
...  
Keyword(s):  
Titanium Alloys ◽  
Selective Laser Melting ◽  
Laser Melting
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