Influence of Process on 7075 Al-Alloy by Composite Arc Additive Manufacturing

Author(s):  
Xin Wang ◽  
Chao Zhu ◽  
Fei Liu ◽  
Zhengying Wei ◽  
Zuqiang Su ◽  
...  
2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Wenjing Ren ◽  
Jyoti Mazumder

Abstract Poor quality and low repeatability of additively manufactured parts are key technological obstacles for the widespread adoption of additive manufacturing (AM). In-situ monitoring and control of the AM process is vital to overcome this problem. This paper describes the combined artificial intelligence and plasma emission spectroscopy to identify the porosity of AM parts during the process. The time- and position-synchronized spectra were collected during the directed energy deposition (DED) manufacturing process of a 7075-Al alloy part. Eighteen features extracted from spectra were coupled with the deposition qualities which were characterized by the 3D X-ray Computed Tomography (CT) scan and used to train a Random Forest (RF) classifier. The well-trained RF classifier achieved up to 83% precision for the porosity recognition of depositions. The feature importance recorded by the RF classifier indicates that the intensities of spectra at the wavelength of 414.234 (Fe I) nm and 396.054 (Al I) nm, and the kurtosis of spectra at wavelength ranges of 484–490 nm and 508–518 nm, are the most effective features for porosity recognition. The physical correlations between spectra, porosity formation, and thermal accumulation during the AM process were analyzed. This study demonstrates the great potentials, as well as challenges of plasma emission spectroscopy for in-situ quality monitoring of laser AM which allows the enhancement of AM technique.


Metals ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1051
Author(s):  
Mohammad Amin Jabbareh ◽  
Hamid Assadi

There is a growing interest in laser melting processes, e.g., for metal additive manufacturing. Modelling and numerical simulation can help to understand and control microstructure evolution in these processes. However, standard methods of microstructure simulation are generally not suited to model the kinetic effects associated with rapid solidification in laser processing, especially for material systems that contain intermetallic phases. In this paper, we present and employ a tailored phase-field model to demonstrate unique features of microstructure evolution in such systems. Initially, the problem of anomalous partitioning during rapid solidification of intermetallics is revisited using the tailored phase-field model, and the model predictions are assessed against the existing experimental data for the B2 phase in the Ni-Al binary system. The model is subsequently combined with a Potts model of grain growth to simulate laser processing of polycrystalline alloys containing intermetallic phases. Examples of simulations are presented for laser processing of a nickel-rich Ni-Al alloy, to demonstrate the application of the method in studying the effect of processing conditions on various microstructural features, such as distribution of intermetallic phases in the melt pool and the heat-affected zone. The computational framework used in this study is envisaged to provide additional insight into the evolution of microstructure in laser processing of industrially relevant materials, e.g., in laser welding or additive manufacturing of Ni-based superalloys.


2013 ◽  
Vol 49 ◽  
pp. 160-167 ◽  
Author(s):  
Alan G. Leacock ◽  
Conrad Howe ◽  
Desmond Brown ◽  
Odd-Geir Lademo ◽  
Alan Deering

2021 ◽  
Vol 1172 (1) ◽  
pp. 012026
Author(s):  
N Hamzawy ◽  
M Khedr ◽  
T S Mahmoud ◽  
I Ei-Mahallawi ◽  
T A Khalifa

2021 ◽  
pp. 165-174
Author(s):  
Gautam Behera ◽  
Subhadra Sahoo ◽  
Nigamananda Ratha ◽  
Abhijit Rout ◽  
Manila Mallik

Vacuum ◽  
2020 ◽  
Vol 177 ◽  
pp. 109404 ◽  
Author(s):  
Jia-ying Hu ◽  
Peng Liu ◽  
Si-yu Sun ◽  
Yan-hua Zhao ◽  
Yuan-bin Zhang ◽  
...  

2021 ◽  
Vol 134 ◽  
pp. 106627
Author(s):  
Wenhao Huang ◽  
Shujun Chen ◽  
Jun Xiao ◽  
Xiaoqing Jiang ◽  
Yazhou Jia

2020 ◽  
Vol 10 (1) ◽  
pp. 164-168 ◽  
Author(s):  
Christina Heßelmann ◽  
Torsten Wolf ◽  
Florian Galgon ◽  
Carolin Körner ◽  
Jakob Albert ◽  
...  

We describe a novel approach to prepare cellular methanol synthesis catalysts by combining additive manufacturing (AM) of a Cu–Al alloy followed by selective leaching of Al with aqueous NaOH solutions.


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