A finite element based data analytics approach for modeling turning process of Inconel 718 alloys
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{Vijayaraghavan:2016:JCP,
-
author = "V. Vijayaraghavan and A. Garg and Liang Gao and
R. Vijayaraghavan and Guoxing Lu",
-
title = "A finite element based data analytics approach for
modeling turning process of Inconel 718 alloys",
-
journal = "Journal of Cleaner Production",
-
year = "2016",
-
volume = "137",
-
pages = "1619--1627",
-
month = "20 " # nov,
-
keywords = "genetic algorithms, genetic programming, Finite
element analysis, Machining, Turning, Inconel 718",
-
ISSN = "0959-6526",
-
URL = "http://www.sciencedirect.com/science/article/pii/S0959652616302694",
-
DOI = "doi:10.1016/j.jclepro.2016.04.010",
-
size = "9 pages",
-
abstract = "Turning is a primary metal cutting process deployed
extensively for producing components to required shape
and dimensions. A commonly used material is Inconel
718, which exhibits an inferior economic feasibility in
terms of turning due to its poor machinability
characteristics. A combined finite element based data
analytics model is introduced in this work. Finite
element modelling was used to predict the cutting force
while Genetic Programming was used to obtain the
mathematical relation between the process variables and
the cutting force. The weighted parameter analysis was
conducted on the mathematical model which revealed that
depth of cut and cutting angle exerts significant
influence on the cutting force. As turning process is
generally specified by a given depth of cut which
dictates the material removal rate, optimization of
tool cutting angle can result in enhanced power
savings. It is anticipated that the findings obtained
from this study can result in greater power savings in
turning process of hard-to-machine materials which can
lead to a sustainable manufacturing process.",
-
notes = "School of Mechanical and Aerospace Engineering,
Nanyang Technological University, 50 Nanyang Avenue,
Singapore, 639798, Singapore",
- }
Genetic Programming entries for
Venkatesh Vijayaraghavan
Akhil Garg
Liang Gao
R Vijayaraghavan
Guoxing Lu
Citations