scholarly journals Surface roughness prediction model in end milling of Al/SiCp MMC by carbide tools

2012 ◽  
Vol 3 (6) ◽  
Author(s):  
R Arokiadass ◽  
K Palaniradja ◽  
N Alagumoorthi
Keyword(s):  
Surface Roughness ◽  
Prediction Model ◽  
End Milling ◽  
Surface Roughness Prediction ◽  
Roughness Prediction

An improved surface roughness prediction model using Box-Cox transformation with RSM in end milling of EN 353

2014 ◽  
Vol 28 (12) ◽  
pp. 5149-5157 ◽  
Author(s):  
Bhuvnesh Bhardwaj ◽  
Rajesh Kumar ◽  
Pradeep K. Singh
Keyword(s):  
Surface Roughness ◽  
Prediction Model ◽  
End Milling ◽  
Surface Roughness Prediction ◽  
Roughness Prediction ◽  
Box Cox Transformation

Development of Surface Roughness Prediction Model for High Speed End Milling of Hardened Tool Steel

2011 ◽  
Vol 4 (3) ◽  
pp. 255-263 ◽  
Author(s):  
Afifah Mohd. Ali ◽  
Erry Yulian T. Adesta ◽  
Delvis Agusman ◽  
Siti Norbahiyah Mohamad Ba ◽  
Muataz Hazza Faizi Al-H
Keyword(s):  
Surface Roughness ◽  
Prediction Model ◽  
Tool Steel ◽  
High Speed ◽  
End Milling ◽  
Surface Roughness Prediction ◽  
Roughness Prediction ◽  
Hardened Tool Steel

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.

scholarly journals On-Line Surface Roughness Prediction by Using a Probabilistic Approach for End-Milling

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 143490-143498
Author(s):  
Oguz Kayabasi ◽  
Senol Erturk
Keyword(s):  
Surface Roughness ◽  
End Milling ◽  
Probabilistic Approach ◽  
Surface Roughness Prediction ◽  
Roughness Prediction ◽  
On Line

Surface roughness prediction model of SiCp/Al composite in grinding

2019 ◽  
Vol 155 ◽  
pp. 98-109 ◽  
Author(s):  
Chuanmin Zhu ◽  
Peng Gu ◽  
Yinyue Wu ◽  
Dinghao Liu ◽  
Xikun Wang
Keyword(s):  
Surface Roughness ◽  
Prediction Model ◽  
Surface Roughness Prediction ◽  
Al Composite ◽  
Roughness Prediction
Sign in / Sign up

Export Citation Format

Share Document