Laser Deposition Process Design Via Thermal Analysis-Thermal Model Development

2004 ◽  
Author(s):  
Michael Langerman
2002 ◽  
Vol 407 (1-2) ◽  
pp. 126-131 ◽  
Author(s):  
Shin-ichi Aoqui ◽  
Hisatomo Miyata ◽  
Tamiko Ohshima ◽  
Tomoaki Ikegami ◽  
Kenji Ebihara

2005 ◽  
Vol 44 (11) ◽  
pp. 7896-7900 ◽  
Author(s):  
Takahiro Nagata ◽  
Young-Zo Yoo ◽  
Parhat Ahmet ◽  
Toyohiro Chikyow

Author(s):  
Christopher Katinas ◽  
Shunyu Liu ◽  
Yung C. Shin

Understanding the capture efficiency of powder during direct laser deposition (DLD) is critical when determining the overall manufacturing costs of additive manufacturing (AM) for comparison to traditional manufacturing methods. By developing a tool to predict the capture efficiency of a particular deposition process, parameter optimization can be achieved without the need to perform a costly and extensive experimental study. The focus of this work is to model the deposition process and acquire the final track geometry and temperature field of a single track deposition of Ti–6Al–4V powder on a Ti–6Al–4V substrate for a four-nozzle powder delivery system during direct laser deposition with a LENS™ system without the need for capture efficiency assumptions by using physical powder flow and laser irradiation profiles to predict capture efficiency. The model was able to predict the track height and width within 2 μm and 31 μm, respectively, or 3.3% error from experimentation. A maximum of 36 μm profile error was observed in the molten pool, and corresponds to errors of 11% and 4% in molten pool depth and width, respectively. Based on experimentation, the capture efficiency of a single track deposition of Ti–6Al–4V was found to be 12.0%, while that from simulation was calculated to be 11.7%, a 2.5% deviation.


Author(s):  
Deepika Singh ◽  
Ashutosh Kumar Singh ◽  
Sonia Tiwari

Breast thermography is an emerging adjunct tool to mammography in early breast cancer detection due to its non-invasiveness and safety. Steady-state infrared imaging proves promising in this field as it is not affected by tissue density. The main aim of the present study is to develop a computational thermal model of breast cancer using real breast surface geometry and internal tumor specification. The model depicting the thermal profile of the subject's aggressive ductal carcinoma is calibrated by variation of blood perfusion and metabolic heat generation rate. The subject's IR image is used for validation of the simulated temperature profile. The thermal breast model presented here may prove useful in monitoring the response of tumor post-chemotherapy for female subjects with similar breast cancer characteristics.


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