An investigation of influence of cutting parameters on three-dimensional surface topography in micromilling SiCp/Al composites

2020 ◽  
pp. 095440542097109
Author(s):  
Junwei Liu ◽  
Kai Cheng ◽  
Hui Ding ◽  
Shijin Chen
Keyword(s):  
Surface Topography ◽  
Orthogonal Experiment ◽  
Three Dimensional ◽  
Cutting Parameters ◽  
Micro Milling ◽  
Influence Of Process Parameters ◽  
Good Surface ◽  
Weak Negative Correlation ◽  
Single Factor Experiment ◽  
Dimensional Surface

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.

Three-dimensional surface topography segmentation through clustering

Wear ◽  
2007 ◽  
Vol 262 (3-4) ◽  
pp. 395-410 ◽  
Author(s):  
N. Senin ◽  
M. Ziliotti ◽  
R. Groppetti
Keyword(s):  
Surface Topography ◽  
Three Dimensional ◽  
Dimensional Surface

A Prediction Model of Surface Roughness in Micro End Milling

2015 ◽  
Vol 727-728 ◽  
pp. 354-357
Author(s):  
Mei Xia Yuan ◽  
Xi Bin Wang ◽  
Li Jiao ◽  
Yan Li
Keyword(s):  
Surface Roughness ◽  
Prediction Model ◽  
Feed Rate ◽  
End Milling ◽  
Orthogonal Experiment ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Micro Milling ◽  
Cutting Depth ◽  
Micro End Milling

Micro-milling orthogonal experiment of micro plane was done in mesoscale. Probability statistics and multiple regression principle were used to establish the surface roughness prediction model about cutting speed, feed rate and cutting depth, and the significant test of regression equation was done. On the basis of successfully building the prediction model of surface roughness, the diagram of surface roughness and cutting parameters was intuitively built, and then the effect of the cutting speed, feed rate and cutting depth on the small structure surface roughness was obtained.

Research on the Modeling and Experimenting of Burr Formation Process in Double-Edged Micro-Plat End Milling Operation

2013 ◽  
Vol 770 ◽  
pp. 248-252 ◽  
Author(s):  
Ni Chen ◽  
Ming Jun Chen ◽  
Hai Bo Ni ◽  
Ning He ◽  
Zhan Qiang Liu
Keyword(s):  
End Milling ◽  
Orthogonal Experiment ◽  
Cutting Parameters ◽  
Micro Milling ◽  
Burr Formation ◽  
Depth Of Cut ◽  
Generation Process ◽  
Burr Size ◽  
Milling Operation ◽  
Exit Burr

Burrs generated in micro-milling operation have a significant impact on the surface quality and operational performance of the finished microstructures. In order to gain a better recognition of burr generation process, 3-dimensional double-edged micro-flat end milling operation FEM models on Ti6Al4V have been established. Burrs occurred in simulation can be classified into three types: entrance burr, exit burr, top burr. Their formation processes and causes are well investigated and analyzed, moreover, a series of experiments are conducted to validate the burr morphologies which are received in simulation. At last, the effect of cutting parameters on top burr size is studied through orthogonal experiment on Ti6Al4V, it can be concluded that the axial depth of cut has the greatest effect on top burr size, and the effect of spindle speed on top burr size is the least.

Influence Characteristics of Tool Vibration and Wear on Machined Surface Topography in High-Speed Milling

2014 ◽  
Vol 800-801 ◽  
pp. 585-589
Author(s):  
Bin Jiang ◽  
Guang Lei Cao ◽  
Ming Hui Zhang ◽  
Shou Zheng Sun ◽  
Xuan Chi Liu
Keyword(s):  
Tool Wear ◽  
Surface Topography ◽  
High Speed ◽  
Three Dimensional ◽  
Cutting Parameters ◽  
Three Dimensional Model ◽  
Machined Surface ◽  
Tool Vibration ◽  
Key Factor ◽  
Vibration Measuring

Existing research on machined surface topography, only consider its response to vibration or wear certain factors, both vibration and wear impact on machined surface topography exist ambiguity and uncertainty, it cannot solve the design conflicts of machined surface topography. For this, this paper analyzes blade installation error, tool wear, vibration and deformation to reveal effects of tip space trajectory, build a three-dimensional model of machined surface topography in simulation, extract its characteristic parameters, by simulation of different amplitudes and wear, found that axis amplitude is a key factor affecting surface residual height, flank wear affects contour distribution distance significantly, by specimen milling experiments, use vibration measuring instrument and ultra-depth microscopy to obtain vibration, wear characteristics and machined surface topography parameters under different cutting parameters, then use the gray system theory to get correlation analysis of the test data, results showed that the influence of tool wear on machined surface topography is prominent than tool vibration.

Multistack Close Range Photogrammetry for Low Cost Submillimeter Metrology

2013 ◽  
Vol 13 (4) ◽  
Author(s):  
L. M. Galantucci ◽  
F. Lavecchia ◽  
G. Percoco
Keyword(s):  
Surface Topography ◽  
Research Effort ◽  
Low Cost ◽  
Three Dimensional ◽  
Robotic Systems ◽  
Image Composition ◽  
Close Range Photogrammetry ◽  
Considerable Research ◽  
Close Range ◽  
Dimensional Surface

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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