Experimental study of surface roughness in slot end milling AL2014-T6

By Ming-Yung Wang, Hung-Yen Chang. 2004

180 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/7561ad12ef2cf1be4cb198de67035afc4b5f0046

How researchers see this paper

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

In Biomedical Engineering

1. Debes Bhattacharyya
2. R. Lin
3. A. Azmi
4. P. Sahoo
5. Bharat Chandra Routara
6. Asish Bandyopadhyay

In Electrical and Electronic Engineering

1. Debes Bhattacharyya
2. R. Lin
3. A. Azmi
4. P. Sahoo
5. Bharat Chandra Routara
6. Asish Bandyopadhyay

In Mechanical Engineering

1. Debes Bhattacharyya
2. R. Lin
3. A. Azmi
4. P. Sahoo
5. Bharat Chandra Routara
6. Asish Bandyopadhyay

Citations in the corpus

• Machinability study of glass fibre-reinforced polymer composites during end milling (2013, background): “As a matter of fact, the values of Ra during end milling can also be affected by various factors, which include the extent of tool wear, tool geometry, such as tool concavity and relief angles [27], as well as the vibrations or chatter [26].”
• Roughness modeling and optimization in CNC end milling using response surface method: effect of workpiece material variation (2009, background): “More recently, Chang and Lu [22] have presented the optimization of cutting parameters for side milling of medium carbon steel with multiple roughness characteristics, viz., feeding direction roughness, axial direction roughness and waviness using grey relational Taguchi approach.”