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Prediction of Surface Roughness considering Cutting Parameters and Humidity Condition in End Milling of Polyamide Materials
Author
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-28
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
To know the impact of processing parameters of PA6G under different humidity conditions is important as it is vulnerable to humidity up to 7 %.
This study investigated the effect of cutting parameters to surface roughness quality in wet and dry conditions.
Artificial Neural Network (ANN) modeling is also developed with the obtained results from the experiments.
Humidity condition, tool type, cutting speed, cutting rate, and depth of cutting parameters were used as input and average surface roughness value were used as output of the ANN model.
Testing results showed that ANN can be used for prediction of average surface roughness.
American Psychological Association (APA)
Bozdemir, Mustafa. 2018. Prediction of Surface Roughness considering Cutting Parameters and Humidity Condition in End Milling of Polyamide Materials. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1130782
Modern Language Association (MLA)
Bozdemir, Mustafa. Prediction of Surface Roughness considering Cutting Parameters and Humidity Condition in End Milling of Polyamide Materials. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-7.
https://search.emarefa.net/detail/BIM-1130782
American Medical Association (AMA)
Bozdemir, Mustafa. Prediction of Surface Roughness considering Cutting Parameters and Humidity Condition in End Milling of Polyamide Materials. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1130782
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130782