Selection of optimal machining parameters using integrated MCDM approaches Online publication date: Fri, 29-Jun-2018
by Mohammad Asjad; Faisal Talib
International Journal of Advanced Operations Management (IJAOM), Vol. 10, No. 2, 2018
Abstract: In this research work, the effect of three controllable machining parameters (table speed, feed per tooth and depth of cut) in a CNC milling machine on material removal rate and surface roughness has been studied. The three multi-criteria decision making (MCDM) techniques have been implemented to select the optimal machining condition for a CNC milling machine. Nine experiments as per Taguchi's standard L9 orthogonal array were performed on the machine parameters. Subsequently, multi-response optimisation was performed using grey relational analysis (GRA), technique for order preference by similarity to ideal solution (TOPSIS), and multi-objective optimisation on the basis of ratio analysis (MOORA) coupled with principal component analysis (PCA). The results revealed that the same optimal condition has been obtained by all the three techniques. This piece of research work will be helpful to academician, researchers, and other stakeholders in understanding the importance, severity and benefits obtained by the application, implementation and optimisation of the controllable parameters of a CNC milling machine using GRA, TOPSIS and MOORA.
Online publication date: Fri, 29-Jun-2018
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Advanced Operations Management (IJAOM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org