Effect of Scanning Methods on Residual Stress Distribution and Thermal-Stress Couple Field During Direct Laser Metal Deposition Shaping

2012 ◽  
Vol 49 (5) ◽  
pp. 051405
Author(s):  
孔源 Kong Yuan ◽  
刘伟军 Liu Weijun ◽  
王越超 Wang Yuechao ◽  
赵宇辉 Zhao Yuhui ◽  
来佑彬 Lai Youbin
2012 ◽  
Vol 503-504 ◽  
pp. 152-158 ◽  
Author(s):  
Yuan Kong ◽  
Wei Jun Liu ◽  
Yue Chao Wang

In order to improve that quality of sample and decrease the stress during process, it is of great importance to study the residual stress distribution during direct laser metal deposition (LMDS) process. In this paper, according to the “element life and death” technique of finite element method ,with APDL, we simulated the effects of long edge reciprocating scanning method, short edge reciprocating scanning method and direction orthogonal changing in different layers reciprocating scanning method to residual stress distribution during whole LMDS process are studied. The residual stress distribution under different scanning methods is researched in detail. Using the same process parameters, the simulation result show good agreement with the features of sample which fabricated by LMDS


2014 ◽  
Vol 989-994 ◽  
pp. 49-54
Author(s):  
Hao Wang

In order to improve the quality of sample and decrease the stress during process, it is important to study the residual stress distribution during direct laser metal deposition (LMDS) process. In this paper, according to the “element life and death” technique of finite element method ,with APDL, we simulated the effects of Laser power, scanning velocity, substrate preheat temperature and powder addition speed in top layer of samples residual stress distribution during whole LMDS process are studied. The residual stress distribution under different process parameters is researched in detail. Using the same process parameters, the simulation results show good agreement with the features of sample which fabricated by LMDS.


2018 ◽  
Vol 30 (3) ◽  
pp. 032503 ◽  
Author(s):  
N. Pirch ◽  
M. Niessen ◽  
S. Linnenbrink ◽  
T. Schopphoven ◽  
A. Gasser ◽  
...  

2017 ◽  
Vol 66 (7) ◽  
pp. 508-514
Author(s):  
Toshiyuki OKANO ◽  
Kazuo MURATA ◽  
Taizo OGURI ◽  
Tsutomu TANAKA ◽  
Hiroshi KAWAKAMI ◽  
...  

Author(s):  
Valeria Selicati ◽  
Marco Mazzarisi ◽  
Francesco Saverio Lovecchio ◽  
Maria Grazia Guerra ◽  
Sabina Luisa Campanelli ◽  
...  

Abstract With the constant increase of energy costs and environmental impacts, improving the process efficiency is considered a priority issue for the manufacturing field. A wide knowledge about materials, energy, machinery, and auxiliary equipment is required in order to optimize the overall performance of manufacturing processes. Sustainability needs to be assessed in order to find an optimal compromise between technical quality of products and environmental compatibility of processes. In this new Industry 4.0 era, innovative manufacturing technologies, as the additive manufacturing, are taking a predominant role. The aim of this work is to give an insight into how thermodynamic laws contribute at the same time to improve energy efficiency of manufacturing resources and to provide a methodological support to move towards a smart and sustainable additive process. In this context, a fundamental step is the proper design of a sensing and real-time monitoring framework of an additive manufacturing process. This framework should be based on an accurate modelling of the physical phenomena and technological aspects of the considered process, taking into account all the sustainability requirements. To this end, a thermodynamic model for the direct laser metal deposition (DLMD) process was proposed as a test case. Finally, an exergetic analysis was conducted on a prototype DLMD system to validate the effectiveness of an ad-hoc monitoring system and highlight the limitations of this process. What emerged is that the proposed framework provided significant advantages, since it represents a valuable approach for finding suitable process management strategies to identify sustainable solutions for innovative manufacturing procedures.


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