Prediction of surface roughness in CNC face milling using neural networks and Taguchi's design of experiments

2002 ◽  
Vol 18 (5-6) ◽  
pp. 343-354 ◽  
Author(s):  
P.G Benardos ◽  
G.C Vosniakos
Keyword(s):  
Neural Networks ◽  
Surface Roughness ◽  
Design Of Experiments ◽  
Face Milling ◽  
Taguchi’S Design Of Experiments

An experimental investigation of surface roughness in 3D-printed PLA items using design of experiments

2021 ◽  
pp. 135065012110593
Author(s):  
Nikolaos A Fountas ◽  
Konstantinos Kitsakis ◽  
Kyriaki-Evangelia Aslani ◽  
John D Kechagias ◽  
Nikolaos M Vaxevanidis
Keyword(s):  
Surface Roughness ◽  
3D Printing ◽  
Design Of Experiments ◽  
Polylactic Acid ◽  
Control Parameters ◽  
3D Printed ◽  
The Mean ◽  
Taguchi’S Design Of Experiments ◽  
Printing Parameters ◽  
Dominant Parameter

This work investigates the effect of 3D-printing parameters on surface roughness in polylactic acid printed material by adopting Taguchi's design of experiments approach. The control parameters under study were: number of shells, printing temperature, infill rate, and printing pattern. As the response, mean surface roughness (Ra) was selected. The control parameters were assigned to an L9 orthogonal array to organize the experiments and obtain the mean surface roughness results. It is concluded that printing temperature is the dominant parameter that affects surface roughness when it comes to 3D printing of polylactic acid material followed by printing pattern, infill rate, and the number of shells.

Theoretical Surface Roughness Model in High Speed Face Milling

2014 ◽  
Vol 989-994 ◽  
pp. 3331-3334
Author(s):  
Tao Zhang ◽  
Guo He Li ◽  
L. Han
Keyword(s):  
Surface Roughness ◽  
Surface Integrity ◽  
High Speed ◽  
Cutting Parameters ◽  
Angular Speed ◽  
Face Milling ◽  
Advanced Manufacturing ◽  
Roughness Model ◽  
Machined Parts ◽  
Important Object

High speed milling is a newly developed advanced manufacturing technology. Surface integrity is an important object of machined parts. Surface roughness is mostly used to evaluate to the surface integrity. A theoretical surface roughness model for high face milling was established. The influence of cutting parameters on the surface roughness is analyzed. The surface roughness decreases when the cutter radius increases, total number of tooth and rotation angular speed, while it increases with the feeding velocity. The high speed face milling can get a smooth surface and it can replace the grinding with higher efficiency.

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