scholarly journals Development and Bead Formation Properties of Multiple Laser Coating Technology with Centered Powder Feeding

2019 ◽  
Vol 8 (1) ◽  
pp. 19-24
Author(s):  
Yoshinori FUNADA ◽  
Yorihiro YAMASHITA ◽  
Yu Sakon ◽  
Masahiro TSUKAMOTO
2012 ◽  
Vol 591-593 ◽  
pp. 789-792 ◽  
Author(s):  
Ping Huai Mao ◽  
Bing Zhai ◽  
Li Ding ◽  
Jing Xi Li

The support vehicles of coal mine belt horizontal extension application of new materials, is to change the traditional coal mine machinery "rough" and stupid" feature to make it more light, green and environmental protection. First introduced the horizontal extension of the overall structure of the supporting of coal mine belt which leads to support the working environment of the vehicles, then comparison of traditional materials and new materials to support the vehicle body, trying to replace traditional materials with new materials, and new materials for static mechanics and fatigue analysis, we found the support body after the application of new materials fatigue life less than ideal requirements, and thus try to use new materials to support the car body laser coating technology to improve, after ANSYS fatigue test, and validation support guide the application of coating on the car body can effectively improve the fatigue strength, has good application prospects.


1988 ◽  
Author(s):  
Andrew G. Blake ◽  
A. A. Mangaly ◽  
M. A. Everett ◽  
A. H. Hammeke

2010 ◽  
Vol 156-157 ◽  
pp. 142-147
Author(s):  
Lei Yang ◽  
Ying Ying Chen ◽  
Wen Ge Li ◽  
Xiao Yan Sun

The preparation of reinforced metal matrix composites used by the method of in-situ and laser cladding has become one of the interesting topics in the metal matrix composite materials. This method is adopted here to prepare the reinforced iron matrix exterior composites, and the critical task is to obtain the optimized technique parameters. The optimal process of manufacturing composite is traditionally defined via experimental methods of orthogonal arrays design, which is costly and can’t get the exact parameters. Hence, we firstly use the artificial neural network to fit the relationship between the performances of the composite and the parameters so as to construct the model of the process. And the parameters are optimized by genetic algorithm. The results further verified that the method in this paper is effective.


2009 ◽  
Vol 63 (9) ◽  
pp. 1060-1063
Author(s):  
Kunio Osaki
Keyword(s):  

2007 ◽  
Vol 61 (2) ◽  
pp. 127-131
Author(s):  
Katsumi Ishizuka

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