Prediction Model of Cutting Parameters for Turning High Strength Steel Grade-H: Comparative Study of Regression Model versus ANFIS
Joint Authors
Abbas, Adel Taha
Ragab, Adham Ezzat
El Rayes, Magdy M.
Alata, Mohanad
El-Danaf, Ehab A.
Source
Advances in Materials Science and Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-22
Country of Publication
Egypt
No. of Pages
12
Abstract EN
The Grade-H high strength steel is used in the manufacturing of many civilian and military products.
The procedures of manufacturing these parts have several turning operations.
The key factors for the manufacturing of these parts are the accuracy, surface roughness (Ra), and material removal rate (MRR).
The production line of these parts contains many CNC turning machines to get good accuracy and repeatability.
The manufacturing engineer should fulfill the required surface roughness value according to the design drawing from first trail (otherwise these parts will be rejected) as well as keeping his eye on maximum metal removal rate.
The rejection of these parts at any processing stage will represent huge problems to any factory because the processing and raw material of these parts are very expensive.
In this paper the artificial neural network was used for predicting the surface roughness for different cutting parameters in CNC turning operations.
These parameters were investigated to get the minimum surface roughness.
In addition, a mathematical model for surface roughness was obtained from the experimental data using a regression analysis method.
The experimental data are then compared with both the regression analysis results and ANFIS (Adaptive Network-based Fuzzy Inference System) estimations.
American Psychological Association (APA)
Abbas, Adel Taha& Alata, Mohanad& Ragab, Adham Ezzat& El Rayes, Magdy M.& El-Danaf, Ehab A.. 2017. Prediction Model of Cutting Parameters for Turning High Strength Steel Grade-H: Comparative Study of Regression Model versus ANFIS. Advances in Materials Science and Engineering،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1123784
Modern Language Association (MLA)
Abbas, Adel Taha…[et al.]. Prediction Model of Cutting Parameters for Turning High Strength Steel Grade-H: Comparative Study of Regression Model versus ANFIS. Advances in Materials Science and Engineering No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1123784
American Medical Association (AMA)
Abbas, Adel Taha& Alata, Mohanad& Ragab, Adham Ezzat& El Rayes, Magdy M.& El-Danaf, Ehab A.. Prediction Model of Cutting Parameters for Turning High Strength Steel Grade-H: Comparative Study of Regression Model versus ANFIS. Advances in Materials Science and Engineering. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1123784
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1123784