Effects of turning parameters and parametric optimization of the cutting forces in machining SiCp/Al 45 wt% composite
File(s)metals-10-00840-v2.pdf (6.42 MB)
Published version
Author(s)
Laghari, Rashid Ali
Li, Jianguang
Mia, Mozammel
Type
Journal Article
Abstract
Cutting force in the machining process of SiCp/Al particle reinforced metal matrix composite is affected by several factors. Obtaining an effective mathematical model for the cutting force is challenging. In that respect, the second-order model of cutting force has been established by response surface methodology (RSM) in this study, with different cutting parameters, such as cutting speed, feed rate, and depth of cut. The optimized mathematical model has been developed to analyze the effect of actual processing conditions on the generation of cutting force for the turning process of SiCp/Al composite. The results show that the predicted parameters by the RSM are in close agreement with experimental results with minimal error percentage. Quantitative evaluation by using analysis of variance (ANOVA), main effects plot, interactive effect, residual analysis, and optimization of cutting forces using the desirability function was performed. It has been found that the higher depth of cut, followed by feed rate, increases the cutting force. Higher cutting speed shows a positive response by reducing the cutting force. The predicted and experimental results for the model of SiCp/Al components have been compared to the cutting force of SiCp/Al 45 wt%—the error has been found low showing a good agreement.
Date Issued
2020-06-24
Date Acceptance
2020-06-20
Citation
Metals, 2020, 10 (840), pp.1-21
ISSN
2075-4701
Publisher
MDPI AG
Start Page
1
End Page
21
Journal / Book Title
Metals
Volume
10
Issue
840
Copyright Statement
© 2020 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/).
distributed under the terms and conditions of the Creative Commons Attribution (CC BY)
license (http://creativecommons.org/licenses/by/4.0/).
Identifier
https://www.mdpi.com/2075-4701/10/6/840
Subjects
0914 Resources Engineering and Extractive Metallurgy
Publication Status
Published
Date Publish Online
2020-06-24