Prediction of surface roughness in the end milling machining using Artificial Neural Network

By Azlan Mohd Zain, Habibollah Haron, Safian Sharif. Expert systems with applications, 2010

399 citations recorded by the source corpus.

Subfields: Computational Mechanics, Electrical and Electronic Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/515eb7738e3891eef462dd755d0bbad125078789

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Yahya Hisman Çelik
2. E. Kılıçkap
3. A. Yardımeden

In Mechanical Engineering

1. Yahya Hisman Çelik
2. E. Kılıçkap
3. A. Yardımeden

Citations in the corpus

• Mathematical Modelling and Optimization of Cutting Force, Tool Wear and Surface Roughness by Using Artificial Neural Network and Response Surface Methodology in Milling of Ti-6242S (2017, background): “Recently, use of ANN has been widespread [16].”