A numerical and experimental investigation on the evolution of three-dimensional surface topography of 12Cr2Ni4A steel in shot peening

2021 ◽  
Vol 70 ◽  
pp. 259-270
Author(s):  
Jiuyue Zhao ◽  
Jinyuan Tang ◽  
Han Ding ◽  
Wen Shao ◽  
Xing Zhao ◽  
...  
Wear ◽  
2007 ◽  
Vol 262 (3-4) ◽  
pp. 395-410 ◽  
Author(s):  
N. Senin ◽  
M. Ziliotti ◽  
R. Groppetti

Author(s):  
Junwei Liu ◽  
Kai Cheng ◽  
Hui Ding ◽  
Shijin Chen

Surface topography is an important characteristic of the surface integrity, and influences the performance and mechanical properties of the workpiece to a great extent in micro milling SiCp/Al composites. It is evaluated by three-dimensional surface roughness ( Sq) and fractal dimension ( Ds) in this paper. Based on the single factor experiment and the orthogonal experiment, the influence of process parameters (feed per tooth, spindle speed, milling depth, and milling width) on surface topography is studied. The results show that Sq is mainly affected by milling width and milling depth and optimal results for minimum Sq are: ae = 1.5 mm, ap = 0.08 mm, n = 12000 r/min, and fz=1 μm/z. While Ds is mainly affected by milling width and optimal parameters for maximum Ds are: ae=1 mm, n = 14000 r/min, fz = 1.5 μm/z and ap = 0.12 mm. There is a weak negative correlation between Sq and Ds. In addition, Ds is more sensitive to the main defects and in general a large Ds corresponds to a good surface.


Author(s):  
L. M. Galantucci ◽  
F. Lavecchia ◽  
G. Percoco

Considerable research effort has been focused on evaluating the accuracy of meso- and macroscale digital close range photogrammetry. However, evaluations of accuracy and applications in the submillimeter scale are rare. In this paper the authors propose the development of a three-dimensional (3D) photogrammetric scanner, based on macrolens cameras, able to reconstruct the three-dimensional surface topography of objects with submillimeter features. The system exploits multifocal image composition and has been designed for installation on all types of Numerical Controlled or Robotic systems. The approach is exploitable for digitizing submillimeter features at mesoscale as well as macroscale objects.


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