Predictive machinability models for a selected hard material in turning operations

By Abdulrahman Al-Ahmari. 2007

153 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/1d75e0d6a2133b1cd30de9307918cb627aeb341d

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. Safian Sharif
2. Azlan Mohd Zain
3. Habibollah Haron

In Industrial and Manufacturing Engineering

1. Safian Sharif
2. Azlan Mohd Zain
3. Habibollah Haron

In Mechanical Engineering

1. Safian Sharif
2. Azlan Mohd Zain
3. Habibollah Haron

Citations in the corpus

• Prediction of surface roughness in the end milling machining using Artificial Neural Network (2010, background): “Too many nodes result in a waste of computer memory and computation time, while too few nodes may not provide the desired data control effect (Al-Ahmari, 2007).”