Optimization and prediction of the optimal cutting conditions affecting the surface roughness of high carbon alloy steel
Other Title(s)
الأمثلية و التنبؤ بظروف القطع المثلى المؤثرة على الخشونة السطحية لفولاذ سبائكي عالي الكاربون
Joint Authors
Muhammad, Usamah Sultan
al-Baghdadi, Bara Muhsin Husayn
Ulwan, Husam Laftah
Source
The Iraqi Journal for Mechanical and Materials Engineering
Issue
Vol. 15, Issue 3 (30 Sep. 2015), pp.217-229, 13 p.
Publisher
University of Babylon College of Engineering
Publication Date
2015-09-30
Country of Publication
Iraq
No. of Pages
13
Main Subjects
Topics
Abstract EN
In this research, optimization of turning cutting conditions and prediction of surface roughness has been satisfactorily accomplished.
Taguchi method was applied and second – order mathematical model used for prediction has been developed.
Standard LR9R Taguchi orthogonal array, S/N ratio through using the quality characteristic ‘the-lower-the-better’, and ANOVA technique were all adopted to determine the optimum cutting parameters and the more significant factor among them.
The parameters that have considered are Spindle speed S, feed rate f, and depth of cut a.
Nine specimens were machined according to the levels of parameters, and surface roughness (Ra) values were measured three times for each experiment.
The optimum conditions obtained were 1200 rpm spindle speed, 0.12 mm/rev feed rate, and 0.7 mm depth of cut.
Among them, the more significant factor is feed rate followed by spindle speed and depth of cut respectively.
Based on the results of prediction by the second-order model, it can be concluded that it is a very appropriate to predict the surface roughness of high carbon steel.
Confirmation results showed that the predicted values and measured values were dramatically close.
This indicates that the Taguchi method and multiple regression can be effectively used to optimize and predict the surface roughness such that the coefficient of determination was found to be 99.82 % with average error not exceed 1.12 %.
American Psychological Association (APA)
Ulwan, Husam Laftah& al-Baghdadi, Bara Muhsin Husayn& Muhammad, Usamah Sultan. 2015. Optimization and prediction of the optimal cutting conditions affecting the surface roughness of high carbon alloy steel. The Iraqi Journal for Mechanical and Materials Engineering،Vol. 15, no. 3, pp.217-229.
https://search.emarefa.net/detail/BIM-653944
Modern Language Association (MLA)
Muhammad, Usamah Sultan…[et al.]. Optimization and prediction of the optimal cutting conditions affecting the surface roughness of high carbon alloy steel. The Iraqi Journal for Mechanical and Materials Engineering Vol. 15, no. 3 (2015), pp.217-229.
https://search.emarefa.net/detail/BIM-653944
American Medical Association (AMA)
Ulwan, Husam Laftah& al-Baghdadi, Bara Muhsin Husayn& Muhammad, Usamah Sultan. Optimization and prediction of the optimal cutting conditions affecting the surface roughness of high carbon alloy steel. The Iraqi Journal for Mechanical and Materials Engineering. 2015. Vol. 15, no. 3, pp.217-229.
https://search.emarefa.net/detail/BIM-653944
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 227-229
Record ID
BIM-653944