An element-free Galerkin method approach for estimating sensitivity of machined surface parameters

The main objective of this study is to implement a parameter sensitivity analysis method to be used in the search of optimal machining conditions with respect to surface quality. Presently, the element-free Galerkin (EFGM) approximating functions are used to evaluate the properties of machined surfa...

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Veröffentlicht in:International journal of machine tools & manufacture 2006-10, Vol.46 (12), p.1637-1642
Hauptverfasser: Gurgel, A.G., Sales, W.F., de Barcellos, C.S., Bonney, J., Ezugwu, E.O.
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container_end_page 1642
container_issue 12
container_start_page 1637
container_title International journal of machine tools & manufacture
container_volume 46
creator Gurgel, A.G.
Sales, W.F.
de Barcellos, C.S.
Bonney, J.
Ezugwu, E.O.
description The main objective of this study is to implement a parameter sensitivity analysis method to be used in the search of optimal machining conditions with respect to surface quality. Presently, the element-free Galerkin (EFGM) approximating functions are used to evaluate the properties of machined surfaces with cutting parameters when turning AISI 4140 steel using arbitrary sets of experimental values and the EFGM approximation functions, based on the moving least-squares method, in order to obtain the sensitivities through proper local derivations. This method shows the sensitivity of each surface parameter for each input variable. The variables investigated were cutting speed ( v c), depth of cut ( a p), feed rate ( f) and the surface roughness ( R a). The sensitivity results showed that the feed rate has the highest influence on surface roughness when turning AISI 4140 steel followed by cutting speed and depth of cut.
doi_str_mv 10.1016/j.ijmachtools.2005.08.019
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subjects Applied sciences
Element-free Galerkin method
Exact sciences and technology
Mechanical engineering. Machine design
Parameter sensitivity
Roughness
Turning
title An element-free Galerkin method approach for estimating sensitivity of machined surface parameters
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