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Modeling and optimization of machine parameters using simulated annealing algorithm (SAA)
Joint Authors
al-Subyhawi, Hasan Nimaha
Badan, Aqil Sabri
Shabib, Ala Hasan
Source
Engineering and Technology Journal
Issue
Vol. 34, Issue 7A (31 Jul. 2016), pp.1473-1482, 10 p.
Publisher
Publication Date
2016-07-31
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Abstract EN
The present work deals with the mathematical modeling and analysis of machining response such as the surface roughness in the milling of aluminum alloy (AA6061).
There are several machining variables like rotational speed, depth of cut and feed rate used to find the quality of surface quality.
Simulated Annealing Algorithm (SAA) is utilized to develop an effective mathematical model to predict optimum level.
In simulated annealing algorithm (SAA), an exponential cooling program depending on Newtonian cooling is applied and experimentation is done on choosing the number of iterations for each step.
The SAA is used to predict the cutting variables (rotational speed, feed rate and depth of cut) on product quality in dry milling of Al 6061 based on Taguchi‘s orthogonal array of L9 and analysis of variance (ANOVA) were apply to determination the important factors that effect on surface quality.
At last, tests were conducted to confirm by making a comparison between the experimental results and the model developed.
The experimental results have shown the performance of machining in the milling can be improved effectively using this algorithm
American Psychological Association (APA)
Badan, Aqil Sabri& Shabib, Ala Hasan& al-Subyhawi, Hasan Nimaha. 2016. Modeling and optimization of machine parameters using simulated annealing algorithm (SAA). Engineering and Technology Journal،Vol. 34, no. 7A, pp.1473-1482.
https://search.emarefa.net/detail/BIM-700738
Modern Language Association (MLA)
Badan, Aqil Sabri…[et al.]. Modeling and optimization of machine parameters using simulated annealing algorithm (SAA). Engineering and Technology Journal Vol. 34, no. 7A (2016), pp.1473-1482.
https://search.emarefa.net/detail/BIM-700738
American Medical Association (AMA)
Badan, Aqil Sabri& Shabib, Ala Hasan& al-Subyhawi, Hasan Nimaha. Modeling and optimization of machine parameters using simulated annealing algorithm (SAA). Engineering and Technology Journal. 2016. Vol. 34, no. 7A, pp.1473-1482.
https://search.emarefa.net/detail/BIM-700738
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 1481-1482
Record ID
BIM-700738