Research on Process Parameters of Laser Metal Deposition Quality Influence

Applied laser ◽  
2013 ◽  
Vol 33 (3) ◽  
pp. 245-249
Author(s):  
崔宝磊 Cui Baolei ◽  
尚纯 Shang Chun ◽  
杨光 Yang Guang ◽  
卞宏友 Bian Hongyou ◽  
钦兰云 Qin Lanyun ◽  
...  
2014 ◽  
Vol 56 ◽  
pp. 228-238 ◽  
Author(s):  
Sörn Ocylok ◽  
Eugen Alexeev ◽  
Stefan Mann ◽  
Andreas Weisheit ◽  
Konrad Wissenbach ◽  
...  

2018 ◽  
Vol 941 ◽  
pp. 988-994 ◽  
Author(s):  
Martin Froend ◽  
Frederic E. Bock ◽  
Stefan Riekehr ◽  
Nikolai Kashaev ◽  
Benjamin Klusemann ◽  
...  

Wire-based laser metal deposition enables to manufacture large-scale components with deposition rates significant higher compared to powder-based laser additive manufacturing techniques, which are currently working with deposition rates of only a few hundred gram per hour. However, the wire-based approach requires a significant amount of laser power in the range of several kilowatts instead of only a few hundred watts for powder-based processes. This excessive heat input during laser metal deposition can lead to process instabilities such as a non-uniform material deposition and to a limited processability, respectively. Although, numerous possibilities to monitor temperature evolution during processing exist, there is still a lack of knowledge regarding the relationship between temperature and geometric shape of the deposited structure. Due to changing cooling conditions with increasing distance to the substrate material, producing a wall-like structure results in varying heights of the individual tracks. This presents challenges for the deposition of high wall-like structures and limits the use of constant process parameters. In the present study, the temperature evolution during laser metal deposition of AA5087 using constant process parameters is investigated and a scheme for process parameter adaptions in order to reduce residual stress induced componential distortions is suggested.


Author(s):  
Lie Tang ◽  
Robert G. Landers

Melt pool temperature is of great importance to deposition quality in laser metal deposition processes. To control the melt pool temperature, an empirical process model describing the relationship between the temperature and process parameters (i.e., laser power, powder flow rate, and traverse speed) is established and verified experimentally. A general tracking controller using the internal model principle is then designed. To examine the controller performance, three sets of experiments tracking both constant and time-varying temperature references are conducted. The results show the melt pool temperature controller performs well in tracking both constant and time-varying temperature references even when process parameters vary significantly. However a multilayer deposition experiment illustrates that maintaining a constant melt pool temperature does not necessarily lead to uniform track morphology, which is an important criteria for deposition quality. The reason is believed to be that different melt pool morphologies may have the same temperature depending on the dynamic balance of heat input and heat loss.


2021 ◽  
Vol 52 (3) ◽  
pp. 1106-1116
Author(s):  
Silja-Katharina Rittinghaus ◽  
Jonas Zielinski

AbstractTemperature-time cycles are essential for the formation of microstructures and thus the mechanical properties of materials. In additive manufacturing, components undergo changing temperature regimes because of the track- and layer-wise build-up. Because of the high brittleness of titanium aluminides, preheating is used to prevent cracking. This also effects the thermal history. In the present study, local solidification conditions during the additive manufacturing process of Ti-48Al-2Cr-2Nb with laser metal deposition (LMD) are investigated by both simulation and experimental investigations. Dependencies of the build-up height, preheating temperatures, process parameters and effects on the resulting microstructure are considered, including the heat treatment. Solidification conditions are found to be dependent on the build height and thus actual preheating temperature, process parameters and location in the melt pool. Influences on both chemical composition and microstructure are observed. Resulting differences can almost be balanced through post heat treatment.


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