Application of ANFIS for prediction micro holes in EDM
Other Title(s)
تطبيقات نظام النكيف العصبي غامض الاستدلال للتنبأ بالثقوب المايكروية في القطع بالشرارة الكهربائية
Joint Authors
Shuwaysh, Raid Rashid
Ghadib, Shukri Hamid
Source
al-Nahrain Journal for Engineering Sciences
Issue
Vol. 20, Issue 3 (30 Sep. 2017), pp.544-549, 6 p.
Publisher
Nahrain University College of Engineering
Publication Date
2017-09-30
Country of Publication
Iraq
No. of Pages
6
Main Subjects
Abstract EN
The present work demonstrates the optimization process of Micro- hole of Electrical Discharge Machining (EDM) by Adaptive Neuro Fuzzy Inference System (ANFIS).
The workpiece material was copper alloy.
The current, gap distance and pulse on time were the control parameters of EDM.
The process has been successfully modeled using ANFIS model constructs a fuzzy inference system in MATLAB 7.2 Software Gaussian type for optimization of micro diameter, were adopted during the training and testing process of ANFIS model in order to compare the prediction accuracy of micro diameter by one membership function.
Finally, the comparison of ANFIS results with experimental data indicates that adoption of Gaussian membership function in proposed system achieved satisfactory accuracy.
Prediction using ANFIS model compared with experimental values of micro holes at correspond ratio 98.37%.
American Psychological Association (APA)
Ghadib, Shukri Hamid& Shuwaysh, Raid Rashid. 2017. Application of ANFIS for prediction micro holes in EDM. al-Nahrain Journal for Engineering Sciences،Vol. 20, no. 3, pp.544-549.
https://search.emarefa.net/detail/BIM-849141
Modern Language Association (MLA)
Ghadib, Shukri Hamid& Shuwaysh, Raid Rashid. Application of ANFIS for prediction micro holes in EDM. al-Nahrain Journal for Engineering Sciences Vol. 20, no. 3 (2017), pp.544-549.
https://search.emarefa.net/detail/BIM-849141
American Medical Association (AMA)
Ghadib, Shukri Hamid& Shuwaysh, Raid Rashid. Application of ANFIS for prediction micro holes in EDM. al-Nahrain Journal for Engineering Sciences. 2017. Vol. 20, no. 3, pp.544-549.
https://search.emarefa.net/detail/BIM-849141
Data Type
Journal Articles
Language
English
Notes
Record ID
BIM-849141