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

Materials Science , Minerals

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