Surface Roughness Prediction Using ANFIS and Validation with Advanced Regression Algorithms

2020 ◽  
pp. 238-245
Author(s):  
M. A. Vinod Kumar
Keyword(s):  
Surface Roughness ◽  
Surface Roughness Prediction ◽  
Regression Algorithms ◽  
Roughness Prediction

scholarly journals Surface roughness prediction in milling based on tool displacements

2011 ◽  
Vol 13 (2) ◽  
pp. 133-140 ◽  
Author(s):  
Jean Philippe Costes ◽  
Vincent Moreau
Keyword(s):  
Surface Roughness ◽  
Surface Roughness Prediction ◽  
Roughness Prediction

Research on Surface Roughness of Supersonic Vibration Auxiliary Side Milling for Titanium Alloy

2021 ◽  
Author(s):  
XueTao Wei ◽  
caixue yue ◽  
DeSheng Hu ◽  
XianLi Liu ◽  
YunPeng Ding ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Finite Element ◽  
Prediction Model ◽  
Simulation Model ◽  
Finite Element Simulation ◽  
Simulation Software ◽  
Surface Roughness Prediction ◽  
Contour Shape ◽  
Element Simulation ◽  
Roughness Prediction

Abstract The processed surface contour shape is extracted with the finite element simulation software, and the difference value of contour shape change is used as the parameters of balancing surface roughness to construct the infinitesimal element cutting finite element model of supersonic vibration milling in cutting stability domain. The surface roughness trial scheme is designed in the central composite test design method to analyze the surface roughness test result in the response surface methodology. The surface roughness prediction model is established and optimized. Finally, the finite element simulation model and surface roughness prediction model are verified and analyzed through experiment. The research results show that, compared with the experiment results, the maximum error of finite element simulation model and surface roughness prediction model is 30.9% and12.3%, respectively. So, the model in this paper is accurate and will provide the theoretical basis for optimization study of auxiliary milling process of supersonic vibration.

Surface Roughness Prediction Techniques for CNC Turning

2008 ◽  
Vol 1 (3) ◽  
pp. 256-264 ◽  
Author(s):  
B. Sidda Reddy ◽  
G. Padmanabha ◽  
K. Vijay Kumar Reddy
Keyword(s):  
Surface Roughness ◽  
Surface Roughness Prediction ◽  
Cnc Turning ◽  
Roughness Prediction ◽  
Prediction Techniques
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