Multi-response optimization of face milling performance considering tool path strategies in machining of Al-2024
File(s)
Published version
Author(s)
Type
Journal Article
Abstract
It is hypothesized that the orientation of tool maneuvering in the milling process defines the quality of machining. In that respect, here, the influence of different path strategies of the tool in face milling is investigated, and subsequently, the best strategy is identified following systematic optimization. The surface roughness, material removal rate and cutting time are considered as key responses, whereas the cutting speed, feed rate and depth of cut were considered as inputs (quantitative factors) beside the tool path strategy (qualitative factor) for the material Al 2024 with a torus end mill. The experimental plan, i.e., 27 runs were determined by using the Taguchi design approach. In addition, the analysis of variance is conducted to statistically identify the effects of parameters. The optimal values of process parameters have been evaluated based on Taguchi-grey relational analysis, and the reliability of this analysis has been verified with the confirmation test. It was found that the tool path strategy has a significant influence on the end outcomes of face milling. As such, the surface topography respective to different cutter path strategies and the optimal cutting strategy is discussed in detail.
Date Issued
2019-03-27
Date Acceptance
2019-03-22
Citation
Materials, 2019, 12 (7)
ISSN
1996-1944
Publisher
MDPI
Journal / Book Title
Materials
Volume
12
Issue
7
Copyright Statement
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Subjects
Science & Technology
Technology
Materials Science, Multidisciplinary
Materials Science
face milling
surface roughness
grey relation analysis
tool path strategy
multi-objective optimization
GREY RELATIONAL ANALYSIS
MATERIAL REMOVAL RATE
SURFACE-ROUGHNESS
CUTTING PARAMETERS
TAGUCHI
SELECTION
DIRECTION
DESIGN
STEEL
WEAR
03 Chemical Sciences
09 Engineering
Publication Status
Published
Article Number
ARTN 1013